Next Article in Journal
Data on Demodex Ectoparasite Infestation in Patients Attending an Outpatient Clinic in Greece
Previous Article in Journal
Micro–Nanoplastics as Potential Carriers of Dioxins and Toxoplasma gondii in Patients with Carotid Atheromas
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Transmission Modelling for Human Non-Zoonotic Schistosomiasis Incorporating Vaccination: Guiding Decision- and Policymaking

1
Swiss Tropical and Public Health Institute, Department Epidemiology and Public Health, 4123 Allschwil, Switzerland
2
Department Public Health, University of Basel, 4001 Basel, Switzerland
Parasitologia 2024, 4(2), 101-128; https://doi.org/10.3390/parasitologia4020010
Submission received: 26 February 2024 / Revised: 27 March 2024 / Accepted: 6 April 2024 / Published: 15 April 2024

Abstract

:
Schistosomiasis, acquired by skin-penetrating cercariae of dioecious digenean schistosomes during freshwater contact, afflicts nearly 260 and 440 million people with active infections and residual morbidity, respectively. About 10 million women at reproductive age contract schistosomiasis during gestation every year. Acute schistosomiasis is characterized by pre-patent pro-inflammatory CD4+ T-helper 1 or CD4+ Th1/T-helper 17 reactivity against immature schistosomulae. Chronic schistosomiasis is dominated by post-patent anti-inflammatory CD4+ T-helper 2 reactivity against ova epitopes. Flukes co-exist in immunocompetent definitive hosts as they are capable of evading their defense mechanisms. Preventive measures should be complemented by vaccination, inducing long-term protection against transmission, infection, and disease recurrence, given the latest advancements in schistosomal vaccines. Vaccines become pivotal when considering constraints of chemotherapy, i.e., lack of protection against re-infection, and evolving resistance or reduced sensitivity. Transmission models for human non-zoonotic schistosomiasis incorporating vaccination available in PubMed, Embase and Web of Science up to 31 December 2023 are presented. Besides conceptual model differences, predictions meant to guide decision- and policymaking reveal continued worm harboring that facilitates transmission besides residual infections. In addition, increased susceptibility to re-infection and rebound morbidity, both shifted to later life stages following the intervention, are forecasted. Consequently, a vaccination schedule is pivotal that considers the optimal age for initial immunization, i.e., pre-schoolchildren or schoolchildren in a cohort-based or population-based manner, while incorporating potential non-adherers promoting ongoing transmission. Longevity over magnitude of vaccine protection to antigenic schistosomal moieties is crucial. Accounting for pre-acquired immunity from natural exposure, in utero priming in addition to herd immunity, and induced by chemotherapy is crucial. Combining, as a multi-component approach, long-term effects of vaccination with short-term effects of chemotherapy as regular repeated vaccine-linked therapy seems most promising to achieve WHO’s endpoints of transmission elimination and morbidity control.

1. Epidemiology, Transmission, and Pathogenicity

Schistosomiasis, among WHO’s neglected tropical diseases [1,2], is reported predominantly from tropical and subtropical countries. The helminthic disease, caused by dioecious digenean schistosomes within the platyhelminthes or flatworms, afflicts vertebrate hosts in presumably > 70 countries [2]. The blood-feeding flukes are responsible for approximately 260 and 440 million people with active infections and residual morbidity, respectively [3,4,5,6,7,8], and put nearly 800 million people at risk of infection [3,4,5,6,7,8].
Infestations in endemic settings commence among toddlers [9,10,11]. Parasitic loads augment during childhood, peak among adolescents [12,13,14], and decline during adulthood [9,10,11,15]. Notably, 60–80% schoolchildren and 20–40% adults suffer from persistent infections [5,11,16,17]. Every year, schistosomiasis is contracted during gestation [18,19] by a quarter of nearly 40 million women of childbearing age carrying the flukes [20,21].
Species affecting mankind are Schistosoma haematobium, S. mansoni, and S. japonicum [22,23]. S. mekongi, S. guineensis, S. intercalatum, and S. malayensis impair humans less frequently [22,23]. S. haematobium and S. mansoni are seen throughout Africa and the Middle East [22,23,24]. S. mansoni is also reported from Latin America but S. japonicum solely from the Caribbean and Asia [22,23,24].
Clades of the genus Schistosoma, with geographical distribution, species, and species-specific intermediate invertebrate and definitive vertebrate hosts [25], are delineated in a report on natural human hybrid schistosomes [26]. Viable fertile interbreeds are found in West Africa with spreading to Central Africa, Eastern Africa, and Europe [26]. Natural and anthropogenic alterations, that derange species isolation [27,28] and promote bidirectional introgressive hybridization, cause new inter-species and inter-lineages among sympatric species. Hybrids’ competitive extinction or homogenization with species [29,30] leads ultimately to new disease manifestation. Evolving recombinants due to their altered vigor are worrisome. It affects, e.g., virulence, transmission and infectivity, pathologies, maturation and fecundity, host spectra, and chemotherapeutic efficacy [29,31,32,33,34,35,36,37,38,39,40,41].
Infections of vertebrate hosts occur during freshwater contact infested with skin-penetrating cercariae that are disseminated by species-specific molluscs [26]. Cercariae transform into schistosomulae, and migrate via pulmonary, cardiac, and portal blood vessels to the hepatic vasculature [42]. They reach matured to schistosomes their oviposition sites within the mesenteric venules of the bowel/rectum or the venous plexus of the urinary bladder for pairing and sexual reproduction [42]. Schistosomes, capable of persisting in immunocompetent definitive hosts for decades [43], spend much of their lives in copula [44]. Despite the fact that they are monogamous, i.e., a single female fitted per male gynecophoric canal, competitive polygamic mating is possible [29,45]. This facilitates homo- and hetero-specific inter- and intra-species crossing in the hepatic portal system [46,47]. Ova deposited within venules of the portal and perivesical vasculature are transported towards the intestine or urinary bladder/ureters to be expelled purposefully via fecal or urinary routes. Once shed, the vertebrate-to-mollusc transmission for asexual reproduction continues upon miracidia hatching into freshwater [5,36,48,49,50,51].
Acute schistosomiasis among naïve hosts presents as debilitating febrile illness following an approximate 3-month incubation period [3,42]. Symptoms range from basic infectious disease signs to respiratory discomfort and hepato- and splenomegaly [3,42]. Chronic schistosomiasis manifests as immunoresponses to ova trapped in capillaries, leading to complications [2,52]. These include bleeding, scarring, inflammation [53], and granulomatous–fibrotic formations with species-dependent organ damage afflicting, e.g., liver, intestine, spleen, and the urinary bladder [3,23,26].
Intestinal schistosomiasis presents with diarrhea or constipation, including blood admixture and progression to ulcerations, hyperplasia, polyposis, and fibrosis. Urogenital pathologies manifest as dysuria, hematuria, and female genital schistosomiasis [54]. The latter impairs susceptibility to predominantly viral pathogens [55], and fertility, e.g., ectopic pregnancy and miscarriage, in addition to progression to malignancies, e.g., squamous cell carcinomas and sandy patches [44,56,57,58,59]. Notably, ectopic excess egg retention or erroneous worm migration in the central nervous system induces cognitive and physical impairments [60] that are seen in endemic settings [9,48,61].

2. Parasite and Human Host Responses

Intact schistosomes persist in the vasculature of immunocompetent definitive hosts for decades [62,63] since they adapt, modulate, and evade cellular and humoral immune defense mechanisms [5,53,64]. This is due to the tegument, a syncytial surface matrix covered with a lipoidal membranous bilayer pivotal for, e.g., metabolism, movement, and interchange [62,65,66,67]. The tegument enables the development from skin- and lung-stage immune-sensitive juvenile to adult immune-refractory stages through frequent, rapid membrane alterations, in addition to modulation or masking of immunogenic molecules [5,11,64,66,68].
Infested hosts develop age-dependent partial protective immunity [13,17] to reinfection against moieties of dying worms [69,70,71], and initiate immunopathogenic immunoregulatory mechanisms against released ova antigens [9,61,72,73]. Notably, hosts’ reactivity is impacted by, e.g., infection intensities [74], treatment history, co-infections [75], genetic pre-disposition, and in utero priming [14,48,76]. While larval stages and schistosomes are resistant to immune attacks [77], juvenile schistosomulae are their true targets [5,11,68].
Acute schistosomiasis presents as pre-patent, pro-inflammatory CD4+ T-helper 1 (Th1) or CD4+ Th1/T-helper 17 (Th17) responses [78] against immature schistosomulae. Elevated tumor necrosis factor alpha (TNF-α) and interferon gamma (IFN-γ) activate phagocytic cells to produce larvicides and cytokines [48,68,79,80,81,82]. Interleukin (IL)-17, for instance, stimulates neutrophils to release extracellular traps that sequester schistosomulae in the vasculature [48,68,79,80,81,82]. Regulatory CD4+ T-cells (Treg) stabilize immunoresponses and limit immunopathologies [83].
Chronic schistosomiasis is dominated by post-patent anti-inflammatory CD4+ T-helper 2 (Th2) reactivity [78] against ova epitopes [48]. Reactivity is augmented by antigen-presenting cells, members of the B7 superfamily, and cytokines to downregulate pro-inflammatory reactions [48]. IL-10 predominantly diminishes damage from Th1/Th2-mediated pathologies and polarizes Th1/Th2 responses, improving hosts’ survival [79,80,84]. As extreme polarization is detrimental, the “happy valley” hypothesis states optimal host protection at either the Th1- or Th2-peak, where parasites feel “unhappiest” [79]. Th2-cells promote partial non-sterile resistance to reinfection [83]. Th2-cells also stimulate disease chronicity due to granulomatous–fibrotic formations mediated by cytokines in addition to signal transducer and activator of transcription/Stat6 pathways [83]. Pre-existing IgE occurs in the context of vaccine-induced hypersensitivity [83,85]. IgG4, IgG2, and IgM are associated with susceptibility to reinfection and disease severity, thus antagonists to protective antibodies [11,86,87,88,89].
Neonates of infested mothers possess anti-inflammatory Th2 responses [88,90] due to fetal exposure or in utero priming [16] to transplacentally crossed antigens [21]. Maternal IgG and IgG subclass immunoglobulins, fetal IgM and IgE indicative of immune system maturation, and proliferated cord blood mononuclear cells (CBMCs) [21,90,91] enable altered regulated postnatal reactivity and pathology, i.e., lower severity due to smaller granuloma, upon parasite challenge, e.g., sensitization or tolerization [11,48,76,90,92,93,94]. Effects are enhanceable by colostral and breast milk immunoglobulins [19,21,95,96,97]. Newborns of S. haematobium-infected Gabonese mothers had anti-ova IgE in their umbilical cord blood, reinforcing in utero priming [21,98,99]. Offspring of S. mansoni-afflicted Burundian mothers had complement-dependent cytotoxic antibodies in their umbilical cord blood comparable to maternal blood [99].
In utero-acquired immunity to maternal infection lasts 10–14 months and longer because of immunological memory even without booster challenges [91,100]. However, in utero sensitization occurs solely in about 50% of neonates [101]. This is due to variable maternal infection intensities [18] and offsprings’ defects in cell cycle and cell proliferation/transcription pathways [20], as seen among Kenyan [102] and Gabonese [103] children of S. mansoni-infested mothers. Also, declines in proliferating maternal peripheral blood mononuclear cells assessed by CD3-4 and CD8 counts against ova, worms, and cercariae [21] leads to varying immunoreactivity dependent on the gestational status [88,90,97,98]. Chemotherapeutic boosting of maternal immunoresponse, still detectable at delivery, i.e., anti-worm IgE (p = 0.054) and IgG1 (p < 0.001), and anti-ova IgE (p = 0.048) and IgG4 (p = 0.001), is lacking in offspring [18]. This is likely due to sensitization prior to chemotherapy or impairment by maternal infection intensities, i.e., light infections promote while moderate and high infections prevent sensitization [18].

3. Treatment and Prevention

Globally, nearly 500,000 annual deaths are avertable [3,5,23,104,105]. The acylated quinoline-pyrazine or praziquantel (PZQ) is the chemotherapeutic in use [55]. PZQ acts poorly against juvenile [106,107] but well against adult schistosomes [7]. Disruption of the calcium homeostasis leads to muscle contractions, paralysis [108] and irreversible tegumental changes [16] in permeability and stability visible as blebbing, vacuolation, and cytoplasm leakage [16,109]. PZQ’s effectiveness is influenced by parasite, e.g., vasculature localization [5,64,65,72,106,110,111,112], and host factors, e.g., infection intensity [74], immunoreactivity, exposure history, gut microbiota, physiological disposition, and bioavailability.
Upon administration, IgA, IgE, IgM, and IgG1-3 subclass immunoglobulins are detectable, inducing approximately 12 months’ protection against re-infection. Protective effects are enhanceable, for instance, by eosinophils [113], and IgG4 promoting susceptibility to re-infection due to IgE blocking while modulating anaphylactic responses [7,16,114]. Regular repeated chemotherapy [52,113] reduces IgG4 titers [112].
Of concern is serious rebound morbidity [2]. It is caused by the re-emergence of missed immature worms upon irregular PZQ administration [43,115,116,117,118,119], seen as saw-tooth phenomenon [120], and evolving resistance [106,121] or reduced sensitivity [24,122]. The latter likely occurs due to genetic variability [123] or maturation of immature not fully eliminated parasite stages that are exposed to remaining sub-lethal drug concentrations [124,125,126].
The standard dose is efficacious against all species, though apparently better against S. japonicum over S. mansoni and S. haematobium, and mixed infections [115,127,128]. WHO’s recommended treatment regimen is administered in a mass drug administration (MDA) [129] or selective at-risk manner [24,130,131]. The mode of treatment depends on prevalence, i.e., low or <10%, moderate or 10–50%, and high or ≥50%, and age, i.e., schoolchildren and adults. Diagnostic accuracy matters [24,71], as seen for nucleic acid tools detecting trace levels [132] that are reported subsequent to chemotherapy [132,133] and among apparently healthy individuals [42,134]. Pre-schoolchildren, at present, are unlikely to receive PZQ [128], due to paucity of efficacy and safety data [130,132,135]. Schoolchildren in low-risk settings receive PZQ twice during school time or once every three years, in addition to suspected cases [136]. Schoolchildren and at-risk adults, including women of childbearing age, are treated once every two years and annually in moderate-risk and high-risk settings, respectively [14,130,136,137].
Prevention includes [138] behavioral changes, health education, improved hygiene and sanitation, environmental and seasonal impacts [2,139,140,141,142], and eliminating freshwater molluscs [3,107,118,141,143,144,145,146]. Multi-component approaches [147,148,149] targeting humans and animals, i.e., in particular, water buffaloes among bovines [150,151,152] as sources of ongoing transmission [121,153], applied in endemic Asian settings, seem promising [151,154,155,156,157,158,159].
The early S. mansoni radiation-attenuated cercarial vaccine shortly elicited, post-immunization, long-lasting multi-species [160,161] CD4+ Th1/Th2 immunoresponses of >70% [52]. Building on this emphasizes the necessity to expand prevention by vaccination alone [7,16,162,163] to induce protection against transmission, infection, and disease recurrence [2,3,143,164], or combined with PZQ as vaccine-linked therapy [165]. Numerous antigenic moieties of, e.g., surface membranes, excretory/secretory proteins, tegument, cytosol, and gastrointestinal tract, detected by platforms ranging from initial schistosome saline extracts to the latest ‘OMICS’ [2,8], are still in the experimental stage [77,166].
Only a few candidates, though not on the market yet, advanced to clinical phases, i.e., Sm14 or S. mansoni fatty acid-binding protein (FABP) in ongoing phase II [2,8,167,168,169], Sm-TSP-2/Sm-TSP-2Al® or S. mansoni tetraspanin in phase I [170,171,172,173,174], Smp80/SchistoShield® or S. mansoni large-subunit calpain in ongoing phase I [52,175,176,177], and Sh28GST/Bilhvax® or S. haematobium glutathione S-transferase in phase III [60,178,179,180,181,182]. The latter was discontinued, lacking efficacy [165]. FABPs take up, transport, and compartmentalize host lipids, as schistosomes lack their own oxygen-dependent pathways to synthesize long-chain fatty acids and cholesterols [8,183]. Homologies in amino acid sequences with, e.g., Echinococcus [2], Clonorchis [2], and Fasciola [2] demonstrate its cross-species multi-purpose vaccine potential [184,185,186,187,188]. TSPs, as scaffold proteins, are involved in immunoregulatory immunoevasive processes by absorbing host molecules to mask flukes’ “non-self” status [189,190]. Phylogenetic polymorphism among protein–protein interacting extracellular mushroom-like loops of TSPs’ large domain alters affinity and avidity to host immunoglobulins that causes varying protective efficacy [67,191,192,193]. Calpain, as a proteolytic protein, found in all schistosomal lifecycle stages, consists of a regulatory subunit that activates a catalytic subunit through a cascade of calcium-activated auto-proteolyses [194]. Calpain is relevant for tegumental biosynthesis and turnover [195] and has species-dependent structural differences in amino acid substitutions [196]. GST regulates, e.g., detoxification, antioxidant pathways, fatty acid metabolism, immune modulation, and neutralization of host-derived hydroperoxides [197]. Its crystal structure consists of two similar monomers, each having N- and C-terminal domains [198]. GSTs of S. haematobium and S. bovis exceed residue conservation within their domains, indicating protective cross-species potential [198]. A recent report delineates the candidates’ developmental path, i.e., trial design, antigen properties and formulations, adjuvants, animal and human models, immunization schemes, and immunological, clinical, and safety endpoints [44].
An optimal vaccine induces non-sterilizing immunity and long-term ova reductions, preferably through killing of reproductive female worms while maintaining concomitant immunity against less-pathogenic single male worms [17,150,180,199,200]. Aimed for are reductions in worms and egg expulsion by ≥75% [9,10,77], as schistosomes are non-replicating in hosts [6,16,138]. Compatibility with therapeutics and vaccines of national immunization programs is desired [180,199].

4. Transmission Models

PubMed, Embase, and Web of Science databases were searched for transmission models tackling human non-zoonotic schistosomiasis through vaccination. See Table 1 for methodological details and models detected.
Initial mathematical modelling is traceable to Bernoulli in the 1760s [201]. Macdonald [50,138,148,202,203,204,205,206,207] and Barbour [152,202,208,209,210,211] developed early schistosomal simulations. Model aims are diverse, e.g., exploring transmission dynamics [212,213,214,215], worm mating probabilities [29,216], and programmatic as well as operational matters including resource allocation [217,218,219,220]. Predictions derived support, e.g., simulating novel hypotheses, designing vaccine trials [168,181,182,214], implementing interventions [17,201,207,210,221,222,223,224,225,226] that advance the flukes’ control and elimination [107,131,136,144,220,227], and guiding decision- and policymaking [130,213,224,228,229].
Woolhouse’s [230,231] construct delineates a phase II trial applicable to S. haematobium and S. mansoni. A partial protective vaccine with waning efficacy is administered Supplementary or complementary to natural immunity built from age-dependent parasite exposure [221].
Limited impact on the cumulative worm burden and increased susceptibility to re-infestation are predicted within a 30-year simulation period [201]. The latter results in rebound morbidity later in life [232], as opportunities to acquire natural immunity gradually and cumulatively [233] through trickle infections [29] are missed following the intervention. Consequently, what matters are the age of initial vaccination, with boosters throughout life, the parasitic targets of protective immunity, including magnitude of responsiveness to them [234], and vaccine effectiveness regarding duration, extent, and interaction with natural immunity [235].
Chan et al. [236] apply models, i.e., cohort model targeting pre-schoolchildren versus age-structured community-based model [223], to foresee the effects of an anti-establishment, anti-fecundity vaccine. Factors presumably impacting vaccine effectiveness relate to targeting naïve and previously or currently infested hosts as well as chemotherapy that induces additional antigen release.
Though both models show reductions in infection intensities, residual infection and parasite transmission and harboring likely continue [236,237]. Vaccinating once at an early age, inducing long-lived protection, or vaccinating repeatedly due to short-lived protection alters parasite transmission, which is impactable further when combined with MDA [238].
Chan and colleagues [239] simulate vaccine impacts on S. mansoni infection intensity and longevity of protection, including indirect effects or herd immunity [17], among a random infant and child population. Efforts combining vaccination with targeted or mass chemotherapy are assessed too. The partial differential density-dependent model [240] encompasses age-dependent parasite exposure [233,241], natural acquired immunity [71,117,240] that develops gradually and cumulatively [242,243] with waning upon reduced exposure [233], and vaccine-induced immunity directed at infestation and ova shedding. Vaccine protection reaches 75% and lasts 10 years on average. Chemotherapy reduces the per capita worm burden by 95%. Vaccine and drug coverage total 80% each [239].
Simulations reveal pivotal far-reaching reduced infection intensities subsequent to vaccinating the 1-year cohort and indirect effects of diminished transmission among the unvaccinated, indicating herd immunity. Outcomes are augmentable by prior MDA. A major finding attributable to vaccination and chemotherapy is a drift in peak infestations towards older ages. Immunizing the 7-year cohort or the 1-year and 7-year cohorts results in additional substantially declined infection intensities that are further expendable by chemotherapy. Taken together, duration over magnitude of vaccine protection and drug impact [244] is pivotal to determine the optimal age for interventions [240]. It needs to be considered that immunizing the youngest leaves them unprotected later in life, while immunizing schoolchildren protects them once they are at highest risk [239]. Also, repeated administration of interventions is required if effects are short-lived [17,116].
Building on classical macro-parasite modeling [138], Stylianou et al. [113] utilize a simple deterministic concept for assessing partial efficacious vaccine effects on dynamics of S. mansoni cercariae and worms, and hosts upon immunization [245]. Parasitic factors looked at are female fecundity and per capita mortality that impact mating and sexual reproduction. Hosts undergo annual infant immunization or mass immunization of random individuals from a homogeneous population. Including subjects afflicted by current or past parasite exposure raises concerns. Mating assuming monogamy [130,134,216,228], density-dependent ova expulsion [246], negative binomial distribution of schistosomes per host, and basic reproductive numbers (R0) [17,247] are incorporated [113]. R0 takes values of 1.0–1.4, 1.5–2.5, and >2.5, resembling low-, medium-, and high-transmission settings, respectively. Parasite-to-mollusc and parasite-to-vertebrate dynamics require weeks and several years, respectively [248].
Authors delineate that a 60% effective vaccine suffices to interrupt transmission in low and moderate settings. However, increased effectiveness or multiple annual boosters, equivalent to the approaches of Anderson et al. [249], are needed in high-transmission settings. The latter also applies if protection lasts less than 5–10 years. A vaccine addressing worm establishment and survival as well as female fecundity seems equally beneficial. In low-transmission settings, ≥18 years are required for breaking parasitic transfer. This is due to slow-building immunity and background mortality that both lower the proportion vaccinated and, thus, compromise herd immunity. MDA prior to immunization seems most beneficial. Combining human and animal MDA prior to vaccinating humans as well as bovines, as applied in endemic Asian settings [153,155], appears effective. This is because short- and long-term equilibrium prevalence, i.e., balanced prevalences or R0 < 1, can be achieved, making schistosomal elimination more tangible [121,250].
Alsallaq et al. [248] employ an age-stratified, i.e., <4, 5–14, 15–24, and >24 years, deterministic compartmental model for S. haematobium based on a high-transmission Kenyan setting. They integrate exponential fecundity due to crowding or aggregation [25,249,251], and age-stratified worm burden, addressing chances of overdispersion [245]. A partial efficacious vaccine is included that targets worm accumulation and mortality [251] as well as female fecundity, with 80% efficacy each, that lasts a decade or beyond two decades when combined with MDA. Vaccination is administered with/without MDA as a recurrent childhood campaign among naïve newborns, or mass vaccination while disregarding current or past parasitic exposure. PZQ kills worms with 75% efficacy within one month.
Predictions reveal that population-based mass vaccination and repeated mass or pulse vaccination over age-selective immunization is needed for short- and long-term impacts on schistosomal transmission, respectively [252]. Longevity of protection matters, similar to findings of Chan et al. [238] and Anderson et al. [249]. An optimal vaccine should preferably address the acquisition of cercariae that develop to schistosomes as well as the killing of established worms [164] to interrupt transmission. Combining mass chemotherapy with regular mass vaccination for optimized reduction in existing worms is most beneficial, which is demonstrated by dramatic declines in incidence rates [201], making schistosomiasis elimination appear more feasible.
Kura et al. [130,228] (Figure S1 Supplementary Materials) utilize an individual-based stochastic construct to forecast S. mansoni transmission [144,249]. Subjects receive MDA alone, assuming 86.3% efficacy, immunization alone, presuming 100% efficacy, and immunization combined with MDA. The vaccine is given to children ≤5 and ≤15 years in a cohort-based and community-based approach, respectively, including a single or repeated catch-up campaign [228]. Collyer et al.’s [253] individual-based stochastic model matches Kura’s, except it contains 90% vaccine efficacy and 40% adult PZQ coverage. Graham et al.’s [254] flexible individual-based stochastic framework comprises chemotherapy for diverse transmission settings [148,155,222,237]. It enables adding immunization and mollusciciding [148,155,222,237]. Kura’s endpoints are WHO’s 5% morbidity control and 1% transmission elimination [164] in low-, moderate-, and high-risk sites, as per WHO’s prevalence classification. Endpoints are assessed within 300 simulations over a 15-year period. Disregarding temporary and permanent non-adherers [43,255] due to random real-life-like allocation of interventions risks ongoing parasite transmission [134,136]. Neglecting current and previous infestations may evoke adverse events [130,228].
Administering MDA alone to schoolchildren in low-risk settings requires 40% and 60% coverage to achieve morbidity control within 5-year (p = 0.987) and transmission elimination within 10-year (p = 0.923) periods, respectively. Toor et al. predict elimination within a 6-year time frame when presuming 75% coverage [136]. In moderate-risk sites, morbidity is controllable and transmission eliminable, i.e., interruption [133] or true elimination (R0 < 1) [134,249], within 5 (p = 0.937) and 15 years (p = 0.960), but they require 60% and 75% MDA coverage, respectively. Toor et al. foresee elimination within a 10-year span assuming 75% coverage [136]. WHO’s endpoints are hardly reachable in high-risk sites for other schistosomal species as well [136,256,257]. They could be tackled if frequency is increased, and coverage [258] reaches 75–85%, while including 40% of adults [136,144,164,253,259,260,261]. Notably, coverage needs adjustment to settings’ risk level [14,130,164,260,261] when combined with other interventions [144,257].
Immunizing 85% of 1-year-olds (cohort-1) and 60% of 5-year-olds (cohort-2) in low-risk settings, assuming 20-year protection, foresees achieving morbidity control and transmission elimination within 5 years (cohort-1: p = 0.990; cohort-2: p = 1.000), and 10 (cohort-2: p = 0.920) and 15 years (cohort-1: p = 0.953), respectively. The same schedule forecasts partial morbidity control within 15 years in moderate-risk (cohort-1: p = 0.980; cohort-2: p = 0.987) and high-risk settings (cohort-1: p = 0.610; cohort-2: p = 0.550), while transmission is ineliminable. Similar findings are predictable across settings, presuming 10-year protection and immunizing 85% of 1-year-olds and 60% of 5-year-olds each. Notably, this is achievable when combined with a catch-up campaign targeting 70% of 11-year-olds and 45% of 15-year-olds, respectively. Vaccinating 85% of 1-year-olds and 60% of 5-year-olds, assuming 5-year protection, foresees reaching morbidity control (cohort-5: p = 1.000; cohort-6: p = 1.000) and transmission elimination within 5 years (cohort-5: p = 0.910; cohort-6: p = 0.943) in low-risk sites. However, each cohort needs to receive two catch-up campaigns, i.e., 60% of 6-year-olds and 70% of 11-year-olds (cohort-5) and 70% of 10-year-olds and 45% of 15-year-olds (cohort-6), respectively. The same regimen administered to both cohorts in moderate-risk sites achieves morbidity control (cohort-5: p = 0.943; cohort-6: p = 0.940) and transmission elimination (cohort-5: p = 0.953; cohort-6: p = 0.940) within 5 and 15 years, respectively. While transmission is ineliminable in high-risk sites, morbidity is controllable partially among cohort-5 within 15 years (p = 0.890) [130]. Taken together, MDA has higher short-term effects on WHO’s endpoints [129,260,262] while immunization impacts them in the long term [136,144,258]. This is because immunity, in particular herd immunity, takes time to develop. An optimal immunization strategy to control or even eliminate schistosomiasis depends on a setting’s prevalence as well as vaccination age, vaccine coverage, and longevity of protection [201].
Vaccinating 85% of 1-year-olds and 60% of 5-year-olds, assuming 20-year protection, and administering MDA to schoolchildren, assuming 75% coverage, predicts achieving morbidity control and transmission elimination in low-risk settings within 5 years (cohort-1: p = 1.000; cohort-2: p = 0.973) and 5 (cohort-1: p = 0.900) and 10 years (cohort-2: p = 0.960), respectively. The same regimen applied in moderate-risk sites forecasts 5 years (cohort-1: p = 0.993; cohort-2: p = 0.980), and 10 (cohort-2: p = 0.943) and 15 years (cohort-1: p = 1.000) for controlling morbidity and eliminating transmission, respectively. Similarly, 10 (cohort-2: p = 0.900) and 15 years (cohort-1: p = 0.970) are predicted for controlling morbidity in high-risk sites, while transmission is ineliminable. Immunizing cohort-5 and cohort-6 assuming 5-year protection combined with 75% MDA coverage among schoolchildren appears most promising. Morbidity control (cohort-5: p = 1.000; cohort-6: p = 1.000) and transmission elimination (cohort-5: p = 0.980; cohort-6: p = 0.987) are forecasted within 5 years each in low-risk sites. Predictions are similar in moderate-risk settings, i.e., morbidity control (cohort-5: p = 1.000; cohort-6: p = 1.000) and transmission elimination within 5 years (cohort-5: p = 0.983; cohort-6: p = 0.960) each. In high-risk sites, morbidity is controllable within 5 (cohort-6: p = 0.900) and 10 years (cohort-5: p = 1.000) and transmission eliminable partially within 15 years (cohort-5: p = 0.840; cohort-6: p = 0.820). Collyer et al. [253] foresee that eradication is achievable within 15 years when vaccinating schoolchildren, and treating 75% schoolchildren and 40% adults in a community-based approach [164].
Table 1. Schistosomiasis dynamic transmission models containing vaccination as intervening measure.
Table 1. Schistosomiasis dynamic transmission models containing vaccination as intervening measure.
AUTHOR(S)
Year [Reference]
WOOLHOUSE
1992/1995 [230,231]
CHAN et al., 1996 [236]CHAN et al., 1997 [239]STYLIANOU et al., 2017 [113]ALSALLAQ et al., 2017 [248]KURA et al., 2019/2020 [130,228]
SPECIESS. haematobium/S. mansoni
(other species)
Not statedS. mansoni
(other species)
S. mansoniS. haematobiumS. mansoni
(other species)
TARGET
POPULATION
Small-scale (trial)
population
Pre-school children vs. total age-structured populationPre-school children
aged 1 yr and 7 yrs (at-random administration)
Infants aged 1 yr
(at-birth strategy,
homogeneous population)
Total population age-stratified (≤4, 5–14, 15–24 and ≥25 yrs)Total population age-stratified
(≤4, 5–14 and ≥15yrs; constant number of deaths and births)
SETTINGEndemicEndemicEndemicLow (R0 1.0–1.4), medium (R0 1.5–2.5), high (R0 > 2.5), endemicityHigh endemicityLow (<10%), medium (10–50%), high (≥50%)
endemicity as per WHO’s classification
MODEL
DESCRIPTION
Phase II trial modelCompartmental cohort vs. transmission modelDifferential compartmental density-dependent modelSimple deterministic compartmental modelSimple deterministic truncated compartmental modelIndividual-based stochastic transmission model
MODEL
DURATION
30 yrs≥10 yrs20 and 50 yrs50 yrs30 yrs15 yrs
VARIABLES
(e.g., larval infection, worm burden, mating, egg shedding)
  • Age-dependent continuous Infection experience/rate (cumulative exposure to schistosomes or eggs)
  • Water contact rates peaking at hosts aged 17 yrs
  • Resistance to cercariae expressed as R0
  • Worm burden (mated female schistosomes per host as rate of infection; mean life-expectancy of schistosomes 4 yrs)
Not stated
  • Age-dependent infection exposure/rate (reflecting acquired immunity; peak at 15 yrs of age)
  • Density-dependent rate of infection/transmission (doubling infection-less than doubling of transmission)
  • Mean life-expectancy of schistosomes 4 yrs
  • Worm burden translated into egg output per measurement unit
  • Dynamic host-parasite populations via larval contact; rate of cercarial infection including grow to sexual mature worms/worm burden
  • Negative binomial distributions of adult worms per host/clumping factor/constant aggregation parameter
  • Density-dependent fecundity/egg output by female worms
  • Dynamics of life-cycle stages outside hosts (hours-weeks) vs. within hosts (4–6 yrs)
  • Mortality: hosts, parasites, free-living larvae
  • Mating probability
  • Monogamy
  • Mean parasitic load within community defined as weighted average of worms among vaccinated and unvaccinated
  • Flow of infectious material into environment
  • R0 assessing spread and persistence among host population
  • Varying age-dependent water contact and transmission rates
  • Rate of worm accumulation and fecundity dependent on host age; exponential fecundity decline by increasing parasite burden (crowding effect)
  • Dynamic worm distribution across age strata; stratified worm burden approach)
  • Baseline in vivo mortality rate of worms decreases with host age
  • Snail status (susceptible, pre-patent and patent) impacts snail density
  • Concentration of infectious material in environment/host contribution to pool of released eggs; same as age-specific contact rates
  • Fast turnover of miracidia, snail intermediate host and cercaria (days to weeks) than adult worms in hosts (4–6 yrs)
  • Worm burden among target population as sum of worms in unvaccinated and vaccinated
  • Varying worm aggregation by host due to limited knowledge of environmental, social, genetic and immunological effects besides infection intensities; accounted for by specific contact rate by age category
  • Negative binomial distribution of parasites per hosts
  • Density-dependent fecundity
  • Monogamy
  • See Figure S1 Supplementary Materials for more information on model parameters
VACCINATION
  • Supplementary and complementary as postnatal campaign or at any age
  • 80–90% partial protective vaccine with 10-yr waning efficacy

Notes
  • Immunological memory defined as duration of protection without continued exposure
  • Cohort-based pre-school children campaign
  • Age-stratified mass population-based campaign
  • 90% partial protective vaccine with 20-yr waning efficacy
  • 25%, 50%, 75% and 99% partial protective vaccine with 80% coverage and 10-yr waning efficacy

Notes
  • Natural acquired immunity developing gradually based on cumulative schistosomal experience inducing partial protection; waning without continued exposure
  • Vaccine-induced immunity impacting infection rates, fecundity or worm establishment based on product properties; waning without continued exposure
  • Immunological pathways based on experimental animal models
  • Cohort-based infant campaign
  • Population-based mass campaign
  • 80% partial protective vaccine with 85% coverage and 50-yr waning efficacy

Notes
  • Differing parasitic life-cycle depending on maturation within/outside of immunized host
  • Age- and time-independent loss/waning of vaccine-induced immunity moves back vaccinated to unvaccinated
  • Instant vaccine-induced benefits among immunized individuals (no time delays)
  • Indirect impact of vaccination on infection intensity indicates herd immunity
  • Vaccine efficacy impacting various parasitic stages, e.g., fecundity and worm establishment
  • Cohort-based continued naïve infant campaign
  • Population-based repeated mass campaign
  • 80% partial protective vaccine (each anti-susceptibility/-fecundity/-morbidity, therapeutic) with 100% coverage and 10-yr waning efficacy

Notes
  • Age- and worm burden-independent vaccine efficacy targeting infection besides worm fecundity and accumulation; waning without continued exposure
  • Vaccinated returning to unvaccinated at an exponential rate given by the reciprocal of waning duration
  • Universal coverage across campaigns
  • Cohort-based children campaign with catch-up campaign(s)
  • Population/Community-based mass campaign with catch-up campaign(s)
  • Vaccine of varying protective levels with high coverage and 5-yr, 10-yr and 20-yr waning efficacy

Notes
  • Vaccine efficacy reducing rate of infection, parasite survival and growth within hosts, adult worm life expectancy, and rate of egg production
MDA/PZQNot administeredSingle administration
prior to vaccination considerable
  • 95% instant per capita worm reduction and 80% coverage
  • Initial single administration during 1st yr
Not administered75% instant per capita worm reduction over 28 days and 80% coverageVarying species-dependent instant per capita worm reduction and age-related coverage
PREDICTIONS/
FINDINGS
  • Limited reduction in life-long cumulative worm burden
  • Increasing infection susceptibility; rebound morbidity at older age
  • Vaccination with repeated boosters throughout; parasitic targets inducing protective immunity relevant
  • Fully protective vaccine with rapid waning efficacy vs. low protective vaccine lacking waning efficacy
  • Cohort campaign: reduced infection intensities despite substantial residual infections; MDA/PZQ supplementation recommended
  • Population campaign: minimal transmission reduction; initial MDA/PZQ with subsequent EPI vaccination recommended
  • Immunization prior parasite challenge recommended; optimal vaccine efficacy of long-lived/≥15 yrs protection vs. short-lived protection with recurrent vaccine boosters
  • Vaccine: reduced infection intensities across cohorts; herd immunity among unvaccinated
  • Vaccine & MDA/PZQ: substantially reduced infection intensities
  • Both, vaccination & MDA/PZQ shift in peak infection level towards older age due to residual transmission
  • Protective duration determines optimal age for intervening measures
  • ≥60% vaccine efficacy, full coverage and ≥10-yr waning efficacy capable of interrupting transmission in low & moderate transmission settings; immunity & herd immunity build slowly
  • Higher efficacy, coverage and protective duration required besides annual boosters in high transmission settings; initial MDA/PZQ presumed beneficial
  • Vaccine effects equally beneficial disregarding the parasite target, i.e., worm survival, female fecundity, worm establishment
  • Population campaign: declines in ≤87% egg shedding, infection intensity and worm acquisition; annual universal vaccination approaching elimination; vaccine & MDA/PZQ at 10-yr or 5-yr intervals impacting egg shedding, infection intensity and worm acquisition approaching elimination further
  • Cohort campaign: 5–24 yrs at-risk population or childhood campaign misses population fraction maintaining transmission
  • Protective duration determines optimal age for intervening measures
  • Vaccine: WHO morbidity control achievable with high probability in low & moderate transmission settings with 5-yr and 20-yr protective vaccine; transmission elimination reachable with 5-yr and 20-yr protective vaccine, and 20-yr protective vaccine in low and moderate transmission settings, respectively; WHO goals unlikely achievable in high transmission settings
  • Vaccine & MDA/PZQ: WHO morbidity control achievable with high probability in low, moderate and high transmission settings with 5-yr and 20-yr protective vaccine; transmission elimination reachable with 5-yr and 20-yr protective vaccine in low and moderate but not high transmission settings
  • High impacts on morbidity control and transmission elimination by MDA/PZQ alone vs. vaccination alone in the short-term and long-term, respectively; MDA/PZQ & vaccination combined most promising reaching elimination when coverage and frequency augmented and targeted age groups expanded
WEAKNESSES
  • Small-scale population lacking applicability to overall transmission rates
  • Long-term follow-up required, e.g., ≥10 yrs
  • Epidemiological consequences at later age uncertain
  • Interaction of vaccine-induced immunity with natural acquired immunity uncertain
  • Uncertainties when administering immunization to currently and/or previously infected individuals (infection status)
  • Vaccine protective levels based on experimental animal models rather than human trials
  • Applicability to Schistosoma species not clearly defined
  • Model parameters and its assumptions not clearly stated
  • Interaction of vaccine-induced immunity with natural acquired immunity uncertain
  • Uncertainties when administering immunization to currently and/or previously infected individuals (infection status)
  • Vaccine protective levels based on experimental animal models rather than human trials
  • Long-term follow-up required, e.g., ≥15 yrs
  • Newborns targeted for childhood campaign disregarding the possibility of in utero priming
  • Interaction of vaccine-induced immunity with natural acquired immunity uncertain
  • Uncertainties when administering immunization and chemotherapy to currently and/or previously infected individuals (infection status)
  • At-random allocation of the intervention disregarding non-adherers and interactions between vaccine-induced and natural acquired immunity
  • Vaccine protective levels based on experimental animal models rather than human trials
  • Worm lifespan in hosts 3.5–8 yrs impacting vaccine effects due to uncertainties on density dependence
  • Age-dependent infection rates derived from subjective, observed infection intensity and prevalence solely of S. mansoni
  • Wide range of potential vaccine efficacy for parasite parameters, i.e., infection, life expectancy, fecundity and establishment
  • Longevity of vaccine protection including indirect effects or herd immunity dependent on host mortality; impacts on mode of vaccine administration and target population, e.g., infants, pre-schoolchildren or schoolchildren
  • Vaccine protective levels based on experimental animal models rather than human trials; uncertainties of longevity of vaccine protection due to short-term experimental animal models
  • Newborns targeted for childhood campaign disregarding the possibility of in utero priming
  • Uncertainties when administering immunization to currently and/or previously infected individuals (infection status)
  • Newborns targeted for childhood campaign considered naïve of infection; disregarding the possibility of in utero priming
  • Constant average number of snails over time disregarding seasonal variations impacting the force of infection to hosts
  • Seasonality disregarded throughout impacting endemicity and in turn prevention and control programs
  • Not applicable to other Schistosoma species due species-specific model parameters
  • Uncertainties when administering immunization and chemotherapy to currently and/or previously infected individuals (infection status)
  • Vaccine protective levels based on experimental animal models rather than human trials
  • Values of model parameters taken from literature
  • Data for age-specific contact rates of hosts and age-specific contribution of hosts to the infectious reservoir lacking; application of MCMC/Markov chain Monte Carlo method for parameter estimation though impacting sensitivity of model findings
  • Case-perfect vaccine assumed, i.e., rates of infection and egg production reduced by 100%; prevention of worm establishment, fecundity falling dramatically and inability of egg hatching to release viable miracidia
  • At-random allocation of interventions disregarding non-adherers/non-compliance risking interactions between vaccine-induced and natural acquired immunity and over-optimize simulations as the proportion of non-adherers may be same across rounds of intervention
  • Limitation in performing predictions among low transmission/prevalence settings, i.e., <49%, caused by poor standard diagnostics and transmission dynamics
  • Build-up of acquired immunity and its impact on morbidity not incorporated in the model
  • Uncertainties when administering immunization and chemotherapy to currently and/or previously infected individuals (infection status)
  • Vaccine protective levels based on experimental animal models rather than human trials
STRENGTHS
  • Simplified model in line with phase II trial
  • Applicable to several Schistosoma species
  • Flexibility of age/age group targeted
  • Applicable to at-risk age-group and total age-structured population
  • Addition of chemotherapy possible
  • Simulating scenarios of targeting children participating in Expanded Programme of Immunization (1 yr) and schoolchildren (7 yrs)
  • Applicable to several Schistosoma species possible
  • Addition of chemotherapy
  • General framework allowing to assess different vaccine delivery strategies, i.e., infant and mass immunization including hybridale approaches; combining chemotherapy and vaccination
  • Assessing vaccine impacts on adult worm mortality, fecundity or establishment
  • Stratified worm burden approach representing the process of worm accumulation and infection of snails
  • Impact of vaccine efficacies in reducing worm accumulation and fecundity of the transmission-contamination cycle
  • Addition of chemotherapy
  • In part flexible, not constant parameter assumptions, e.g., worm aggregation among hosts, in line with the stochastic nature of the model
  • Model fitted to Iietune village, Kenya, but transferrable to other endemic settings though highly dependent on age-related contact and death rates, and prevalence
  • Model also transferable to S. haematobium
  • Addition of chemotherapy
Models by publishing author(s) and publication year, Schistosoma species, target population, setting, model description and duration, intervening measure(s), and predicted endpoints derived from latest searches in PubMed, Embase and Web of Science on 31 December 2023. The following search terms were applied: “schistosomiasis”, “Schistosoma”, “snail fever”, “bilharzia”, “katayama fever”, “transmission”, “modeling/modelling”, “model”, “vaccine”, “vaccination”, and “immunisation/immunization”, “immunity” and “immune/immuno response”. Publications enclosed after removing duplicates, screening titles and abstracts, reading full-texts, and complementing by reference searches were not limited by time period, but the availability of full-texts in English. Animal studies, reviews and conference notes were excluded unless considered highly relevant. Abbreviations: EPI = Expanded Programme of Immunization; yrs = years; yr = year; S. = Schistosoma; MDA = mass drug administration; PZQ = praziquantel; WHO = World Health Organization; vs. = versus; R0 = reproductive number.

5. Model Considerations

In addition to conceptual model differences, predictions derived build on vaccines of varying protection and effectiveness. Vaccines are administered as age-stratified cohort-based or mass population-based regimens with variable coverage levels.
Simulations meant to guide decision- and policymaking reveal continued worm harboring that facilitates transmission and residual infections, though dependent on the risk level of a setting. Susceptibility to re-infection and rebound morbidity increases as opportunities to acquire natural immunity gradually and cumulatively are shifted to later life stages following the intervention.
Consequently, time points of vaccination, including potential boosters throughout life, are pivotal. Targeting pre-schoolchildren likely leaves them unprotected later on, while targeting schoolchildren probably protects them when they are at highest risk. Longevity over magnitude of protection to antigenic schistosomal moieties is crucial. This is because long-lived protection aims for a single vaccine administration, while short-lived protection requires repeated administration. Notably, interactions with natural immunity [2] also derived from in utero priming and indirect effects or herd immunity must not be disregarded. Combining long-term effects of vaccination with short-term effects of chemotherapy [121] as regular repeated vaccine-linked therapy in contrast to a sole intervention seems most promising to achieve WHO’s endpoints.
Referring to vaccine candidates in clinical phases [44] reveals that Sm-TSP-2/Sm-TSP-2Al® [170,171,172,173,174], Sm14 [8,167,169,263,264], and Sh28GST/Bilhvax® [165,265,266] were tested in healthy and exposed adults, which is different to model constructs (Table 1). Only Sm14 [8,168] and Sh28GST [181,182] were also assessed among healthy and infested children.
Sm-TSP-2 Alhydrogel-adjuvanted was given to healthy, non-exposed American male and non-pregnant female adults aged 18–50 years in a phase I safety, reactogenicity, and immunogenicity trial with 12-month follow-up. A total of 30 ug and 100 ug over 10 ug rSm-TSP-2 induced the highest IgG titers at 4.5 months post-immunization, with waning at 5.5 months among all arms [172,173]. Sm-TSP-2/Alhydrogel was also administered to healthy, exposed Brazilian male and non-pregnant female adults aged 18–50 years in a phase Ib safety, reactogenicity, and immunogenicity trial with 12-month follow-up [171,174]. IgG and IgG subclass immunoglobulins, with IgG1 being preponderant across arms, peaked two weeks after administering the third dose. Antibody levels declined across arms at the end of follow-up, except for the 100 ug arm. Findings from immunizing healthy, exposed Ugandan male and non-pregnant female adults aged 18–45 years with Sm-TSP-2/Alhydrogel in a phase I/IIb dose escalation, safety, immunogenicity, and efficacy trial with 23-month follow-up are pending publication (trial status: active, not recruiting) [170].
Sm14 GLA-SE-adjuvanted was administered intramuscularly followed by two boosters to healthy, non-exposed Brazilian male and non-pregnant female adults aged 18–49 years during the phase I safety and immunogenicity trial with 4-month follow-up. It led to augmenting total IgG titers in 88% of subjects, commencing from the first booster on day 30, as well as IgG1-4 subclasses, while lacking IgE expression [263,264]. Findings from the Sm14/GLA-SE IIa dose escalation safety and immunogenicity trial with 3-month follow-up among healthy, exposed Senegalese male adults aged 18–45 years receiving a single pre-treatment with PZQ [167] are pending publication (trial status: completed). Healthy and S. mansoni- and/or S. haematobium-infected Senegalese children aged 8–11 years obtained Sm14/GLA-SE in a phase IIb safety and immunogenicity trial with 3-month follow-up subsequent to administering one pre-treatment with PZQ [169]; the findings are pending publication (trial status: completed).
Sh28GST Alhydrogel-adjuvanted was given subcutaneously to non-exposed Caucasian males aged 18–30 years in a phase I dose escalation, safety, tolerability, and immunity trial with 6-month follow-up. It elicited a preponderant IgG1 response over IgG2-4 subclasses following the first dose up to trial end, while IgA over IgE remained low throughout [265,266]. S. haematobium-infested Senegalese male and female children aged 6–9 years received, in a phase III2 safety, efficacy, pathology, and immunogenicity trial with 38-month follow-up, Sh28GST/Alhydrogel sub-cutaneously subsequent to three doses of PZQ pre-treatment [181,182]. The median follow-up without recurrence was 22.9 and 18.8 months among vaccinees and controls, respectively. At trial end, 86.4% of the vaccinated experienced ≥1 recurrence compared to 89.6% of controls. In the vaccine arm, total IgG titers were augmented up to month 65 and did not wane up to trial end. IgG1, IgG2, and IgG4 subclass immunoglobulins developed similar to total IgG, while IgG3, IgA, and IgE remained low throughout.
Adding short-term effects of PZQ to vaccination tackles schistosomes, further [115] seen as 76.7% (r = 0.434, p = 0.001) to 52–92% cure rate [267], and 86.3% (r = −0.126, p = 0.370) egg reduction rate [42,135]. Of note is the flukes’ fluctuating susceptibility to the chemotherapeutic, i.e., strong shortly post-infection, weak ≤1 month post-infection, and strong again ≤2 months post-infection [109]. PZQ’s properties are impacted additionally by previous treatment, i.e., best at first over multiple treatment doses [239,268]. Its administration to pre-schoolchildren as crushed tablets and syrup formulations may be considered, as it induces 87.3% (95%CI 85.7–88.2) and 82.0% (95%CI 72.6–90.0) cure rate, and 97.1% (95%CI 97.1–97.7) and 96.4% (95%Ci 72.6–90.0) egg reduction rate for S. haematobium and S. mansoni, respectively [269].
As raised by Anderson et al. [134], acquired protective immunity, i.e., widening of antibody spectra with switching from ova-specific IgM and IgG1-2 to larval- and worm-specific IgE [270] in juvenile and adult hosts, respectively, needs to be considered when making predictions to guide decision- and policymaking. This is because intervening measures [117] and natural exposure [242,271] as well as in utero priming [11,48,76] may alter immunoresponses. Interferences among tegumental and cytosolic antigens [108] released subsequent to PZQ and vaccine antigens is speculated to cause non-specific unwanted immunoresponses [16]. Also, Africans as opposed to Caucasians have more exhausted and activated natural killer cells, differentiated T- and B-cells, and pro-inflammatory monocytes [16]. Mediated immunity alters immunoprofiles that possess phenotypical and functional heterogeneity due to concomitant infections and genetic diversity [16].
In addition to enhancing efforts of vaccination and chemotherapy as multi-component approaches [109], health education in line with socio-cultural and ethnic contexts is capable of impacting human hosts’ behavioral attitudes sustainably [134]. Pre-schoolchildren and schoolchildren from S. mansoni hyperendemic Marolambo, Madagascar, for instance, acquired better schistosomal understanding, i.e., 52–75% pre-education versus 83–98% post-education, and knowledge about preventive measures, i.e., 32–63% pre-education to 79–96% post-education [272]. Consequently, defecation into latrines over free-range and open water sources was practiced more often as well as minimizing water contacts [138,258], both associated to lower odds of schistosomal infestation [254]. Experiences from a long-lasting health educational program directed at Chinese aged 6–60 years from the high-transmission area of Poyang Lake revealed augmented schistosomiasis knowledge, i.e., 85.4% (p < 0.001) in schoolchildren and 29.5% (p < 0.001) in women [118]. Subsequently, water contacts by means of play and recreational activities and domestic chores declined, leading to reduced re-infections and prevalences by 83.7% and 63.4%, respectively. Effects were lower in males, likely due to occupational activities in agriculture and fishing.
Natural and, more importantly, anthropogenic environmental modifications raise concerns of breaking species isolation barriers [273] and derange dynamics and distributions of schistosomes [134,217,274]. Species sympatry and interplay, host switching or spillover through heterogeneous mixing [34], and expansion to new favorable habitats facilitated by altered fluke vigor [26,273] are likely consequences [273,275].
Examples are the construction of water dams at Senegal and Bafing rivers, Senegal [276], or Yangtze River, China [156], and irrigation channels in the Awash Valley, Ethiopia [277], as well as forest clearance and agricultural development at Loum, Cameroon [278]. Notably, Gurarie et al. [217,279] reported 1.1- and 4.7-fold increased risk of urinary and intestinal schistosomiasis, respectively, compared to non-irrigated settings. Destroying Madagascar’s Dabara dam and adjunct irrigation channels reduced S. mansoni even without chemotherapy [217]. King et al. [278] demonstrated S. haematobium as the dominant species in Cameroon within 25–30 years subsequent to deforestation and agricultural expansion in the 1960s. Also, regular, prolonged mollusciciding beyond the maximum worm life expectancy [248] by chemical and biological means, such as natural predators or competing organisms [109,134,258], impacts the schistosomal spread. Mollusciciding combined with chemotherapy decreases novel infections and re-infections [280,281,282], e.g., from 12.5–40% to <9% in S. mansoni endemic Makueni, Kenya [283], except for insufficient ecological overlap [284].
Movement of seasonal migrant laborers or seminomadic pastoralists seen in Richard-Toll, Senegal and Awash, Ethiopia [277,285], and large-scale population re-settlements around the Three Gorges Dam, China [156] increase concerns. Interestingly, human migration between Senegal and Corsica/France for occupational opportunities likely re-introduced schistosomiasis to Europe in 2013 despite paucity in understanding the presence of Bulinus spp. and Planorbarius spp. molluscs [286,287].

6. Conclusions

Model predictions aiming to support decision- and policymaking towards 1% transmission elimination and 5% morbidity control demonstrate that only a multi-component approach containing vaccination will likely be capable to address the WHO’s goals. Combining long-term effects of vaccination with short-term effects of chemotherapy as regular repeated vaccine-linked therapy seems most promising. Notably, vaccine effects in simulations are derived solely from experimental animal models rather than human trials. The population targeted for intervening measures needs to be selected in the context of the risk level of a setting, and the measures’ parasitic targets, i.e., infection, fecundity, establishment and morbidity, and coverage, i.e., 40–80% for PZA MDA and 60–100% for vaccine, as well as efficacy, i.e., 75–95% for PZQ MDA and 15–100% for vaccine, and longevity of protection, i.e., 1–3 yrs for PZQ MDA and 10–50 yrs for vaccine. Notably, longevity over magnitude of protection is pivotal. Addressing pre-schoolchildren likely leaves them unprotected later in life, while directing measures at schoolchildren probably protects them when they are at highest risk. Administering chemotherapy additionally to around 40% of adults may enhance population-based effects. Vaccination as well as antiparasitic therapy needs to be given repeatedly, as demonstrated by simulations, including catch-up campaigns, as immunity in addition to herd immunity builds slowly. Notably, non-adherence or non-compliance constituting sources of ongoing transmission, and current and/or previous infections, as well as existing acquired immunity, must be taken into account to avoid adverse events.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/parasitologia4020010/s1, Figure S1: Simplified structure of the Schistosoma mansoni individual-based stochastic model illustrating interventions including coverage among targeted age categories.

Funding

This research received no external funding.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. World Health Organization. Neglected Tropical Diseases. 2022. Available online: https://www.who.int/news-room/questions-and-answers/item/neglected-tropical-diseases (accessed on 30 January 2024).
  2. Tendler, M.; Almeida, M.; Simpson, A. Development of the Brazilian Anti Schistosomiasis Vaccine Based on the Recombinant Fatty Acid Binding Protein Sm14 Plus GLA-SE Adjuvant. Front. Immunol. 2015, 6, 218. [Google Scholar] [CrossRef]
  3. Nelwan, M.L. Schistosomiasis: Life Cycle, Diagnosis, and Control. Curr. Ther. Res. Clin. Exp. 2019, 91, 5–9. [Google Scholar] [CrossRef]
  4. Webster, J.P.; Neves, M.I.; Webster, B.L.; Pennance, T.; Rabone, M.; Gouvras, A.N.; Allan, F.; Walker, M.; Rollinson, D. Parasite Population Genetic Contributions to the Schistosomiasis Consortium for Operational Research and Evaluation within Sub-Saharan Africa. Am. J. Trop. Med. Hyg. 2020, 103, 80. [Google Scholar] [CrossRef]
  5. Colley, D.G.; Bustinduy, A.L.; Secor, W.E.; King, C.H. Human schistosomiasis. Lancet 2014, 383, 2253–2264. [Google Scholar] [CrossRef]
  6. Molehin, A.J. Schistosomiasis vaccine development: Update on human clinical trials. J. Biomed. Sci. 2020, 27, 28. [Google Scholar] [CrossRef]
  7. Gray, D.J.; McManus, D.P.; Li, Y.; Williams, G.M.; Bergquist, R.; Ross, A.G. Schistosomiasis elimination: Lessons from the past guide the future. Lancet Infect. Dis. 2010, 10, 733–736. [Google Scholar] [CrossRef]
  8. Tendler, M.; Almeida, M.S.; Vilar, M.M.; Pinto, P.M.; Limaverde-Sousa, G. Current Status of the Sm14/GLA-SE Schistosomiasis Vaccine: Overcoming Barriers and Paradigms towards the First Anti-Parasitic Human(itarian) Vaccine. Trop. Med. Infect. Dis. 2018, 3, 121. [Google Scholar] [CrossRef]
  9. Molehin, A.J.; Rojo, J.U.; Siddiqui, S.Z.; Gray, S.A.; Carter, D.; Siddiqui, A.A. Development of a schistosomiasis vaccine. Expert Rev. Vaccines 2016, 15, 619–627. [Google Scholar] [CrossRef]
  10. Siddiqui, A.A.; Siddiqui, S.Z. Sm-p80-Based Schistosomiasis Vaccine: Preparation for Human Clinical Trials. Trends Parasitol. 2017, 33, 194–201. [Google Scholar] [CrossRef]
  11. Colley, D.G.; Secor, W.E. Immunology of human schistosomiasis. Parasite Immunol. 2014, 36, 347–357. [Google Scholar] [CrossRef]
  12. Zhang, P.; Feng, Z.; Milner, F. A schistosomiasis model with an age-structure in human hosts and its application to treatment strategies. Math. Biosci. 2007, 205, 83–107. [Google Scholar] [CrossRef]
  13. Galvani, A.P. Age-dependent epidemiological patterns and strain diversity in helminth parasites. J. Parasitol. 2005, 91, 24–30. [Google Scholar] [CrossRef]
  14. Kura, K.; Hardwick, R.J.; Truscott, J.E.; Anderson, R.M. What is the impact of acquired immunity on the transmission of schistosomiasis and the efficacy of current and planned mass drug administration programmes? PLoS Negl. Trop. Dis. 2021, 15, e0009946. [Google Scholar] [CrossRef]
  15. Hairston, N.G. An analysis of age-prevalence data by catalytic models. A contribution to the study of bilharziasis. Bull. World Health Organ. 1965, 33, 163–175. [Google Scholar]
  16. Driciru, E.; Koopman, J.P.R.; Cose, S.; Siddiqui, A.A.; Yazdanbakhsh, M.; Elliott, A.M.; Roestenberg, M. Immunological Considerations for Schistosoma Vaccine Development: Transitioning to Endemic Settings. Front. Immunol. 2021, 12, 635985. [Google Scholar] [CrossRef]
  17. Keeling, M.; Tildesley, M.; House, T.; Danon, L. The Mathematics of Vaccination. 2013. Available online: https://www.semanticscholar.org/paper/The-Mathematics-of-Vaccination-Keeling-Tildesley/886d59bf0388ebfba90dbb01480e9958582a0471 (accessed on 15 January 2024).
  18. Tweyongyere, R.; Mawa, P.A.; Kihembo, M.; Jones, F.M.; Webb, E.L.; Cose, S.; Dunne, D.W.; Vennervald, B.J.; Elliott, A.M. Effect of praziquantel treatment of Schistosoma mansoni during pregnancy on immune responses to schistosome antigens among the offspring: Results of a randomised, placebo-controlled trial. BMC Infect. Dis. 2011, 11, 234. [Google Scholar] [CrossRef]
  19. Santos, P.; Lorena, V.M.; Fernandes Ede, S.; Sales, I.R.; Nascimento, W.R.; Gomes Yde, M.; Albuquerque, M.C.; Costa, V.M.; Souza, V.M. Gestation and breastfeeding in schistosomotic mothers differently modulate the immune response of adult offspring to postnatal Schistosoma mansoni infection. Mem. Inst. Oswaldo Cruz 2016, 111, 83–92. [Google Scholar] [CrossRef]
  20. Cortes-Selva, D.; Gibbs, L.; Ready, A.; Ekiz, H.A.; O’Connell, R.; Rajwa, B.; Fairfax, K.C. Maternal schistosomiasis impairs offspring Interleukin-4 production and B cell expansion. PLoS Pathog. 2021, 17, e1009260. [Google Scholar] [CrossRef]
  21. Novato-Silva, E.; Gazzinelli, G.; Colley, D.G. Immune responses during human schistosomiasis mansoni. XVIII. Immunologic status of pregnant women and their neonates. Scand. J. Immunol. 1992, 35, 429–437. [Google Scholar] [CrossRef]
  22. Avendano, C.; Patarroyo, M.A. Loop-Mediated Isothermal Amplification as Point-of-Care Diagnosis for Neglected Parasitic Infections. Int. J. Mol. Sci. 2020, 21, 7981. [Google Scholar] [CrossRef]
  23. Garcia-Bernalt Diego, J.; Fernandez-Soto, P.; Febrer-Sendra, B.; Crego-Vicente, B.; Muro, A. Loop-Mediated Isothermal Amplification in Schistosomiasis. J. Clin. Med. 2021, 10, 511. [Google Scholar] [CrossRef]
  24. Boatin, B.A.; Basanez, M.G.; Prichard, R.K.; Awadzi, K.; Barakat, R.M.; Garcia, H.H.; Gazzinelli, A.; Grant, W.N.; McCarthy, J.S.; N’Goran, E.K.; et al. A research agenda for helminth diseases of humans: Towards control and elimination. PLoS Negl. Trop. Dis. 2012, 6, e1547. [Google Scholar] [CrossRef]
  25. Gurarie, D.; King, C.H.; Yoon, N.; Li, E. Refined stratified-worm-burden models that incorporate specific biological features of human and snail hosts provide better estimates of Schistosoma diagnosis, transmission, and control. Parasit. Vectors 2016, 9, 428. [Google Scholar] [CrossRef]
  26. Panzner, U.; Boissier, J. Natural intra- and intercalde human hybrid schostosomes in Africa with considerations on prevention through vaccination. Microorganisms 2021, 9, 1465. [Google Scholar] [CrossRef]
  27. Hu, H.; Gong, P.; Xu, B. Spatially explicit agent-based modelling for schistosomiasis transmission: Human-environment interaction simulation and control strategy assessment. Epidemics 2010, 2, 49–65. [Google Scholar] [CrossRef]
  28. Adekiya, T.A.; Aruleba, R.T.; Oyinloye, B.E.; Okosun, K.O.; Kappo, A.P. The Effect of Climate Change and the Snail-Schistosome Cycle in Transmission and Bio-Control of Schistosomiasis in Sub-Saharan Africa. Int. J. Environ. Res. Public Health 2019, 17, 181. [Google Scholar] [CrossRef]
  29. Borlase, A.; Webster, J.P.; Rudge, J.W. Opportunities and challenges for modelling epidemiological and evolutionary dynamics in a multihost, multiparasite system: Zoonotic hybrid schistosomiasis in West Africa. Evol. Appl. 2018, 11, 501–515. [Google Scholar] [CrossRef]
  30. Morand, S.; Southgate, V.R.; Jourdane, J. A model to explain the replacement of Schistosoma intercalatum by Schistosoma haematobium and the hybrid S. intercalatum x S. haematobium in areas of sympatry. Parasitology 2002, 124, 401–408. [Google Scholar] [CrossRef]
  31. Mone, H.; Minguez, S.; Ibikounle, M.; Allienne, J.F.; Massougbodji, A.; Mouahid, G. Natural Interactions between S. haematobium and S. guineensis in the Republic of Benin. Sci. World J. 2012, 2012, 793420. [Google Scholar] [CrossRef]
  32. Webster, B.L.; Tchuem Tchuente, L.A.; Southgate, V.R. A single-strand conformation polymorphism (SSCP) approach for investigating genetic interactions of Schistosoma haematobium and Schistosoma guineensis in Loum, Cameroon. Parasitol. Res. 2007, 100, 739–745. [Google Scholar] [CrossRef]
  33. Steinauer, M.L.; Hanelt, B.; Mwangi, I.N.; Maina, G.M.; Agola, L.E.; Kinuthia, J.M.; Mutuku, M.W.; Mungai, B.N.; Wilson, W.D.; Mkoji, G.M.; et al. Introgressive hybridization of human and rodent schistosome parasites in western Kenya. Mol. Ecol. 2008, 17, 5062–5074. [Google Scholar] [CrossRef]
  34. Huyse, T.; Webster, B.L.; Geldof, S.; Stothard, J.R.; Diaw, O.T.; Polman, K.; Rollinson, D. Bidirectional introgressive hybridization between a cattle and human schistosome species. PLoS Pathog. 2009, 5, e1000571. [Google Scholar] [CrossRef]
  35. Leger, E.; Webster, J.P. Hybridizations within the Genus Schistosoma: Implications for evolution, epidemiology and control. Parasitology 2017, 144, 65–80. [Google Scholar] [CrossRef]
  36. Steinauer, M.L.; Blouin, M.S.; Criscione, C.D. Applying evolutionary genetics to schistosome epidemiology. Infect. Genet. Evol. 2010, 10, 433–443. [Google Scholar] [CrossRef]
  37. Rollinson, D. Biochemical genetics in the study of schistosomes and their intermediate hosts. Parassitologia 1985, 27, 123–139. [Google Scholar]
  38. Wright, C.A.; Ross, G.C. Hybrids between Schistosoma haematobium and S. mattheei and their identification by isoelectric focusing of enzymes. Trans. R. Soc. Trop. Med. Hyg. 1980, 74, 326–332. [Google Scholar] [CrossRef]
  39. Catalano, S.; Sene, M.; Diouf, N.D.; Fall, C.B.; Borlase, A.; Leger, E.; Ba, K.; Webster, J.P. Rodents as Natural Hosts of Zoonotic Schistosoma Species and Hybrids: An Epidemiological and Evolutionary Perspective From West Africa. J. Infect. Dis. 2018, 218, 429–433. [Google Scholar] [CrossRef]
  40. Wang, S.; Zhu, X.Q.; Cai, X. Gene Duplication Analysis Reveals No Ancient Whole Genome Duplication but Extensive Small-Scale Duplications during Genome Evolution and Adaptation of Schistosoma mansoni. Front. Cell Infect. Microbiol. 2017, 7, 412. [Google Scholar] [CrossRef]
  41. Rey, O.; Toulza, E.; Chaparro, C.; Allienne, J.F.; Kincaid-Smith, J.; Mathieu-Begne, E.; Allan, F.; Rollinson, D.; Webster, B.L.; Boissier, J. Diverging patterns of introgression from Schistosoma bovis across S. haematobium African lineages. PLoS Pathog. 2021, 17, e1009313. [Google Scholar] [CrossRef] [PubMed]
  42. Panzner, U. Clinical Applications of Isothermal Diagnosis for Human Schistosomiasis. Encyclopedia 2022, 2, 690–704. [Google Scholar] [CrossRef]
  43. Farrell, S.H.; Anderson, R.M. Helminth lifespan interacts with non-compliance in reducing the effectiveness of anthelmintic treatment. Parasit. Vectors 2018, 11, 66. [Google Scholar] [CrossRef] [PubMed]
  44. Panzner, U.; Excler, J.L.; Kim, J.H.; Marks, F.; Carter, D.; Siddiqui, A.A. Recent advances and methodological considerations on vaccine candidates for human schistosomiasis. Front. Trop. Dis. 2021, 2, 719369. [Google Scholar] [CrossRef]
  45. May, R.M.; Woolhouse, M.E. Biased sex ratios and parasite mating probabilities. Parasitology 1993, 107 Pt 3, 287–295. [Google Scholar] [CrossRef] [PubMed]
  46. Beltran, S.; Boissier, J. Schistosome monogamy: Who, how, and why? Trends Parasitol. 2008, 24, 386–391. [Google Scholar] [CrossRef]
  47. Stothard, J.R.; Kayuni, S.A.; Al-Harbi, M.H.; Musaya, J.; Webster, B.L. Future schistosome hybridizations: Will all Schistosoma haematobium hybrids please stand-up! PLoS Negl. Trop. Dis. 2020, 14, e0008201. [Google Scholar] [CrossRef] [PubMed]
  48. Pearce, E.J.; MacDonald, A.S. The immunobiology of schistosomiasis. Nat. Rev. Immunol. 2002, 2, 499–511. [Google Scholar] [CrossRef] [PubMed]
  49. Loker, E.S.; Brant, S.V. Diversification, dioecy and dimorphism in schistosomes. Trends Parasitol. 2006, 22, 521–528. [Google Scholar] [CrossRef] [PubMed]
  50. Coutinho, F.A.; Griffin, M.; Thomas, J.D. A model of schistosomiasis incorporating the searching capacity of the miracidium. Parasitology 1981, 82, 111–120. [Google Scholar] [CrossRef]
  51. Yang, Y.; Feng, Z.; Xu, D.; Sandland, G.J.; Minchella, D.J. Evolution of host resistance to parasite infection in the snail-schistosome-human system. J. Math. Biol. 2012, 65, 201–236. [Google Scholar] [CrossRef]
  52. Koopman, J.P.R.; Driciru, E.; Roestenberg, M. Controlled human infection models to evaluate schistosomiasis and hookworm vaccines: Where are we now? Expert Rev. Vaccines 2021, 20, 1369–1371. [Google Scholar] [CrossRef]
  53. Keating, J.H.; Wilson, R.A.; Skelly, P.J. No overt cellular inflammation around intravascular schistosomes in vivo. J. Parasitol. 2006, 92, 1365–1369. [Google Scholar] [CrossRef]
  54. Patwary, K.F.; Archer, J.; Sturt, A.; Webb, E.; van Lieshout, L.; Webster, B.; Bustinduy, A. Female Genital Schistosomiasis: Diagnostic Validation for Recombinant DNA-Polymerase-Amplification Assay using Cervicovaginal Lavage. Int. J. Obstet. Gynaecol. 2021, 128 (Suppl. S2), 248. [Google Scholar]
  55. Le, L.; Hsieh, M.H. Diagnosing Urogenital Schistosomiasis: Dealing with Diminishing Returns. Trends Parasitol. 2017, 33, 378–387. [Google Scholar] [CrossRef]
  56. Gandasegui, J.; Fernandez-Soto, P.; Carranza-Rodriguez, C.; Perez-Arellano, J.L.; Vicente, B.; Lopez-Aban, J.; Muro, A. The Rapid-Heat LAMPellet Method: A Potential Diagnostic Method for Human Urogenital Schistosomiasis. PLoS Negl. Trop. Dis. 2015, 9, e0003963. [Google Scholar] [CrossRef]
  57. Rosser, A.; Rollinson, D.; Forrest, M.; Webster, B.L. Isothermal Recombinase Polymerase amplification (RPA) of Schistosoma haematobium DNA and oligochromatographic lateral flow detection. Parasit. Vectors 2015, 8, 446. [Google Scholar] [CrossRef]
  58. Archer, J.; Barksby, R.; Pennance, T.; Rostron, P.; Bakar, F.; Knopp, S.; Allan, F.; Kabole, F.; Ali, S.M.; Ame, S.M.; et al. Analytical and Clinical Assessment of a Portable, Isothermal Recombinase Polymerase Amplification (RPA) Assay for the Molecular Diagnosis of Urogenital Schistosomiasis. Molecules 2020, 25, 4175. [Google Scholar] [CrossRef] [PubMed]
  59. Bayoumi, A.; Al-Refai, S.A.; Badr, M.S.; Abd El-Aal, A.A.; El Akkad, D.M.H.; Saad, N.; Elesaily, K.M.; Abdel Aziz, I.Z. Loop-Mediated Isothermal Amplification (Lamp): Sensitive and Rapid Detection of Schistosoma Haematobium DNA in Urine Samples of Egyptian Suspected Cases. J. Egypt Soc. Parasitol. 2016, 46, 299–308. [Google Scholar] [PubMed]
  60. Siddiqui, A.J.; Bhardwaj, J.; Saxena, J.; Jahan, S.; Snoussi, M.; Bardakci, F.; Badraoui, R.; Adnan, M. A Critical Review on Human Malaria and Schistosomiasis Vaccines: Current State, Recent Advancements, and Developments. Vaccines 2023, 11, 792. [Google Scholar] [CrossRef]
  61. Mo, A.X.; Agosti, J.M.; Walson, J.L.; Hall, B.F.; Gordon, L. Schistosomiasis elimination strategies and potential role of a vaccine in achieving global health goals. Am. J. Trop. Med. Hyg. 2014, 90, 54–60. [Google Scholar] [CrossRef] [PubMed]
  62. Fonseca, C.T.; Braz Figueiredo Carvalho, G.; Carvalho Alves, C.; de Melo, T.T. Schistosoma tegument proteins in vaccine and diagnosis development: An update. J. Parasitol. Res. 2012, 2012, 541268. [Google Scholar] [CrossRef]
  63. Fulford, A.J.; Butterworth, A.E.; Ouma, J.H.; Sturrock, R.F. A statistical approach to schistosome population dynamics and estimation of the life-span of Schistosoma mansoni in man. Parasitology 1995, 110 Pt 3, 307–316. [Google Scholar] [CrossRef]
  64. Meurs, L.; Mbow, M.; Vereecken, K.; Menten, J.; Mboup, S.; Polman, K. Epidemiology of mixed Schistosoma mansoni and Schistosoma haematobium infections in northern Senegal. Int. J. Parasitol. 2012, 42, 305–311. [Google Scholar] [CrossRef] [PubMed]
  65. Skelly, P.J.; Alan Wilson, R. Making sense of the schistosome surface. Adv. Parasitol. 2006, 63, 185–284. [Google Scholar] [CrossRef] [PubMed]
  66. Van Hellemond, J.J.; Retra, K.; Brouwers, J.F.; van Balkom, B.W.; Yazdanbakhsh, M.; Shoemaker, C.B.; Tielens, A.G. Functions of the tegument of schistosomes: Clues from the proteome and lipidome. Int. J. Parasitol. 2006, 36, 691–699. [Google Scholar] [CrossRef] [PubMed]
  67. Loukas, A.; Tran, M.; Pearson, M.S. Schistosome membrane proteins as vaccines. Int. J. Parasitol. 2007, 37, 257–263. [Google Scholar] [CrossRef] [PubMed]
  68. El Ridi, R.; Tallima, H.; Mahana, N.; Dalton, J.P. Innate immunogenicity and in vitro protective potential of Schistosoma mansoni lung schistosomula excretory–secretory candidate vaccine antigens. Microbes Infect. 2010, 12, 700–709. [Google Scholar] [CrossRef] [PubMed]
  69. Mitchell, K.M.; Mutapi, F.; Savill, N.J.; Woolhouse, M.E. Protective immunity to Schistosoma haematobium infection is primarily an anti-fecundity response stimulated by the death of adult worms. Proc. Natl. Acad. Sci. USA 2012, 109, 13347–13352. [Google Scholar] [CrossRef] [PubMed]
  70. Civitello, D.J.; Rohr, J.R. Disentangling the effects of exposure and susceptibility on transmission of the zoonotic parasite Schistosoma mansoni. J. Anim. Ecol. 2014, 83, 1379–1386. [Google Scholar] [CrossRef] [PubMed]
  71. Wang, S.; Spear, R.C. Exploring the impact of infection-induced immunity on the transmission of Schistosoma japonicum in hilly and mountainous environments in China. Acta Trop. 2014, 133, 8–14. [Google Scholar] [CrossRef]
  72. Fukushige, M.; Mutapi, F.; Woolhouse, M.E.J. Population level changes in schistosome-specific antibody levels following chemotherapy. Parasite Immunol. 2019, 41, e12604. [Google Scholar] [CrossRef]
  73. McManus, D.P.; Bergquist, R.; Cai, P.; Ranasinghe, S.; Tebeje, B.M.; You, H. Schistosomiasis-from immunopathology to vaccines. Semin. Immunopathol. 2020, 42, 355–371. [Google Scholar] [CrossRef] [PubMed]
  74. Qi, L.; Tian, S.; Cui, J.A.; Wang, T. Multiple infection leads to backward bifurcation for a schistosomiasis model. Math. Biosci. Eng. 2019, 16, 701–712. [Google Scholar] [CrossRef] [PubMed]
  75. Petney, T.N.; Andrews, R.H. Multiparasite communities in animals and humans: Frequency, structure and pathogenic significance. Int. J. Parasitol. 1998, 28, 377–393. [Google Scholar] [CrossRef] [PubMed]
  76. Attallah, A.M.; Ghanem, G.E.; Ismail, H.; El Waseef, A.M. Placental and oral delivery of Schistosoma mansoni antigen from infected mothers to their newborns and children. Am. J. Trop. Med. Hyg. 2003, 68, 647–651. [Google Scholar] [CrossRef] [PubMed]
  77. Al-Naseri, A.; Al-Absi, S.; El Ridi, R.; Mahana, N. A comprehensive and critical overview of schistosomiasis vaccine candidates. J. Parasit. Dis. 2021, 45, 557–580. [Google Scholar] [CrossRef] [PubMed]
  78. da Paz, V.R.F.; Sequeira, D.; Pyrrho, A. Infection by Schistosoma mansoni during pregnancy: Effects on offspring immunity. Life Sci. 2017, 185, 46–52. [Google Scholar] [CrossRef] [PubMed]
  79. Wynn, T.A.; Hoffmann, K.F. Defining a schistosomiasis vaccination strategy-is it really Th1 versus Th2? Parasitol. Today 2000, 16, 497–501. [Google Scholar] [CrossRef] [PubMed]
  80. Stadecker, M.J.; Asahi, H.; Finger, E.; Hernandez, H.J.; Rutitzky, L.I.; Sun, J. The immunobiology of Th1 polarization in high-pathology schistosomiasis. Immunol. Rev. 2004, 201, 168–179. [Google Scholar] [CrossRef] [PubMed]
  81. Kalantari, P.; Bunnell, S.C.; Stadecker, M.J. The C-type Lectin Receptor-Driven, Th17 Cell-Mediated Severe Pathology in Schistosomiasis: Not All Immune Responses to Helminth Parasites Are Th2 Dominated. Front. Immunol. 2019, 10, 26. [Google Scholar] [CrossRef]
  82. Ahmad, G.; Zhang, W.; Torben, W.; Haskins, C.; Diggs, S.; Noor, Z.; Le, L.; Siddiqui, A.A. Prime-boost and recombinant protein vaccination strategies using Sm-p80 protects against Schistosoma mansoni infection in the mouse model to levels previously attainable only by the irradiated cercarial vaccine. Parasitol. Res. 2009, 105, 1767–1777. [Google Scholar] [CrossRef]
  83. Wilson, M.S.; Mentink-Kane, M.M.; Pesce, J.T.; Ramalingam, T.R.; Thompson, R.; Wynn, T.A. Immunopathology of schistosomiasis. Immunol. Cell Biol. 2007, 85, 148–154. [Google Scholar] [CrossRef] [PubMed]
  84. Fairfax, K.; Nascimento, M.; Huang, S.C.; Everts, B.; Pearce, E.J. Th2 responses in schistosomiasis. Semin. Immunopathol. 2012, 34, 863–871. [Google Scholar] [CrossRef] [PubMed]
  85. Hotez, P.J.; Bethony, J.M.; Diemert, D.J.; Pearson, M.; Loukas, A. Developing vaccines to combat hookworm infection and intestinal schistosomiasis. Nat. Rev. Microbiol. 2010, 8, 814–826. [Google Scholar] [CrossRef] [PubMed]
  86. Negrao-Correa, D.; Fittipaldi, J.F.; Lambertucci, J.R.; Teixeira, M.M.; Antunes, C.M.; Carneiro, M. Association of Schistosoma mansoni-specific IgG and IgE antibody production and clinical schistosomiasis status in a rural area of Minas Gerais, Brazil. PLoS ONE 2014, 9, e88042. [Google Scholar] [CrossRef] [PubMed]
  87. Vereecken, K.; Naus, C.W.; Polman, K.; Scott, J.T.; Diop, M.; Gryseels, B.; Kestens, L. Associations between specific antibody responses and resistance to reinfection in a Senegalese population recently exposed to Schistosoma mansoni. Trop. Med. Int. Health 2007, 12, 431–444. [Google Scholar] [CrossRef] [PubMed]
  88. Garraud, O.; Perraut, R.; Riveau, G.; Nutman, T.B. Class and subclass selection in parasite-specific antibody responses. Trends Parasitol. 2003, 19, 300–304. [Google Scholar] [CrossRef] [PubMed]
  89. Ahmad, G.; Zhang, W.; Torben, W.; Ahrorov, A.; Damian, R.T.; Wolf, R.F.; White, G.L.; Carey, D.W.; Mwinzi, P.N.; Ganley-Leal, L.; et al. Preclinical prophylactic efficacy testing of Sm-p80-based vaccine in a nonhuman primate model of Schistosoma mansoni infection and immunoglobulin G and E responses to Sm-p80 in human serum samples from an area where schistosomiasis is endemic. J. Infect. Dis. 2011, 204, 1437–1449. [Google Scholar] [CrossRef] [PubMed]
  90. Eloi-Santos, S.M.; Novato-Silva, E.; Maselli, V.M.; Gazzinelli, G.; Colley, D.G.; Correa-Oliveira, R. Idiotypic sensitization in utero of children born to mothers with schistosomiasis or Chagas’ disease. J. Clin. Investig. 1989, 84, 1028–1031. [Google Scholar] [CrossRef] [PubMed]
  91. Malhotra, I.; LaBeaud, A.D.; Morris, N.; McKibben, M.; Mungai, P.; Muchiri, E.; King, C.L.; King, C.H. Cord Blood Antiparasite Interleukin 10 as a Risk Marker for Compromised Vaccine Immunogenicity in Early Childhood. J. Infect. Dis. 2018, 217, 1426–1434. [Google Scholar] [CrossRef]
  92. Dauby, N.; Goetghebuer, T.; Kollmann, T.R.; Levy, J.; Marchant, A. Uninfected but not unaffected: Chronic maternal infections during pregnancy, fetal immunity, and susceptibility to postnatal infections. Lancet Infect. Dis. 2012, 12, 330–340. [Google Scholar] [CrossRef]
  93. Elliott, A.M.; Ndibazza, J.; Mpairwe, H.; Muhangi, L.; Webb, E.L.; Kizito, D.; Mawa, P.; Tweyongyere, R.; Muwanga, M.; Entebbe, M.; et al. Treatment with anthelminthics during pregnancy: What gains and what risks for the mother and child? Parasitology 2011, 138, 1499–1507. [Google Scholar] [CrossRef] [PubMed]
  94. Malhotra, I.; Ouma, J.; Wamachi, A.; Kioko, J.; Mungai, P.; Omollo, A.; Elson, L.; Koech, D.; Kazura, J.W.; King, C.L. In utero exposure to helminth and mycobacterial antigens generates cytokine responses similar to that observed in adults. J. Clin. Investig. 1997, 99, 1759–1766. [Google Scholar] [CrossRef] [PubMed]
  95. Lewert, R.M.; Mandlowitz, S. Schistosomiasis: Prenatal induction of tolerance to antigens. Nature 1969, 224, 1029–1030. [Google Scholar] [CrossRef] [PubMed]
  96. Blackwell, A.D. Helminth infection during pregnancy: Insights from evolutionary ecology. Int. J. Womens Health 2016, 8, 651–661. [Google Scholar] [CrossRef] [PubMed]
  97. Lacorcia, M.; Bhattacharjee, S.; Laubhahn, K.; Alhamdan, F.; Ram, M.; Muschaweckh, A.; Potaczek, D.P.; Kosinska, A.; Garn, H.; Protzer, U.; et al. Fetomaternal immune cross talk modifies T-cell priming through sustained changes to DC function. J. Allergy Clin. Immunol. 2021, 148, 843–857.e846. [Google Scholar] [CrossRef] [PubMed]
  98. Ludwig, E.; Harder, J.; Lacorcia, M.; Honkpehedji, Y.J.; Nouatin, O.P.; van Dam, G.J.; Corstjens, P.; Sartono, E.; Esen, M.; Lobmaier, S.M.; et al. Placental gene expression and antibody levels of mother-neonate pairs reveal an enhanced risk for inflammation in a helminth endemic country. Sci. Rep. 2019, 9, 15776. [Google Scholar] [CrossRef]
  99. Seydel, L.S.; Petelski, A.; van Dam, G.J.; van der Kleij, D.; Kruize-Hoeksma, Y.C.; Luty, A.J.; Yazdanbakhsh, M.; Kremsner, P.G. Association of in utero sensitization to Schistosoma haematobium with enhanced cord blood IgE and increased frequencies of CD5- B cells in African newborns. Am. J. Trop. Med. Hyg. 2012, 86, 613–619. [Google Scholar] [CrossRef] [PubMed]
  100. Freer, J.B.; Bourke, C.D.; Durhuus, G.H.; Kjetland, E.F.; Prendergast, A.J. Schistosomiasis in the first 1000 days. Lancet Infect. Dis. 2018, 18, e193–e203. [Google Scholar] [CrossRef] [PubMed]
  101. Malhotra, I.; Mungai, P.; Wamachi, A.; Kioko, J.; Ouma, J.H.; Kazura, J.W.; King, C.L. Helminth- and Bacillus Calmette-Guerin-induced immunity in children sensitized in utero to filariasis and schistosomiasis. J. Immunol. 1999, 162, 6843–6848. [Google Scholar] [CrossRef]
  102. Ondigo, B.N.; Muok, E.M.O.; Oguso, J.K.; Njenga, S.M.; Kanyi, H.M.; Ndombi, E.M.; Priest, J.W.; Kittur, N.; Secor, W.E.; Karanja, D.M.S.; et al. Impact of Mothers’ Schistosomiasis Status During Gestation on Children’s IgG Antibody Responses to Routine Vaccines 2 Years Later and Anti-Schistosome and Anti-Malarial Responses by Neonates in Western Kenya. Front. Immunol. 2018, 9, 1402. [Google Scholar] [CrossRef] [PubMed]
  103. Tweyongyere, R.; Naniima, P.; Mawa, P.A.; Jones, F.M.; Webb, E.L.; Cose, S.; Dunne, D.W.; Elliott, A.M. Effect of maternal Schistosoma mansoni infection and praziquantel treatment during pregnancy on Schistosoma mansoni infection and immune responsiveness among offspring at age five years. PLoS Negl. Trop. Dis. 2013, 7, e2501. [Google Scholar] [CrossRef]
  104. Vlas, S.J.; Van Oortmarssen, G.J.; Gryseels, B.; Polderman, A.M.; Plaisier, A.P.; Habbema, J.D. SCHISTOSIM: A microsimulation model for the epidemiology and control of schistosomiasis. Am. J. Trop. Med. Hyg. 1996, 55, 170–175. [Google Scholar] [CrossRef] [PubMed]
  105. Flugge, J.; Adegnika, A.A.; Honkpehedji, Y.J.; Sandri, T.L.; Askani, E.; Manouana, G.P.; Massinga Loembe, M.; Bruckner, S.; Duali, M.; Strunk, J.; et al. Impact of Helminth Infections during Pregnancy on Vaccine Immunogenicity in Gabonese Infants. Vaccines 2020, 8, 381. [Google Scholar] [CrossRef] [PubMed]
  106. Vale, N.; Gouveia, M.J.; Rinaldi, G.; Brindley, P.J.; Gartner, F.; Correia da Costa, J.M. Praziquantel for Schistosomiasis: Single-Drug Metabolism Revisited, Mode of Action, and Resistance. Antimicrob. Agents Chemother. 2017, 61, e02582-16. [Google Scholar] [CrossRef] [PubMed]
  107. Ogongo, P.; Nyakundi, R.K.; Chege, G.K.; Ochola, L. The Road to Elimination: Current State of Schistosomiasis Research and Progress Towards the End Game. Front. Immunol. 2022, 13, 846108. [Google Scholar] [CrossRef] [PubMed]
  108. World Health Organization. Report of the WHO Informal Consultation on the Use of Praziquantel during Pregnancy/Lactation and Albendazole/Menendazole in Children under 24 Months. 2002. Available online: https://www.who.int/publications/i/item/WHO-CDS-CPE-PVC-2002.4 (accessed on 10 January 2024).
  109. Cioli, D.; Pica-Mattoccia, L.; Basso, A.; Guidi, A. Schistosomiasis control: Praziquantel forever? Mol. Biochem. Parasitol. 2014, 195, 23–29. [Google Scholar] [CrossRef] [PubMed]
  110. Schneeberger, P.H.H.; Coulibaly, J.T.; Panic, G.; Daubenberger, C.; Gueuning, M.; Frey, J.E.; Keiser, J. Investigations on the interplays between Schistosoma mansoni, praziquantel and the gut microbiome. Parasit. Vectors 2018, 11, 168. [Google Scholar] [CrossRef]
  111. Mutapi, F.; Maizels, R.; Fenwick, A.; Woolhouse, M. Human schistosomiasis in the post mass drug administration era. Lancet Infect. Dis. 2017, 17, e42–e48. [Google Scholar] [CrossRef] [PubMed]
  112. Eyoh, E.; McCallum, P.; Killick, J.; Amanfo, S.; Mutapi, F.; Astier, A.L. The anthelmintic drug praziquantel promotes human Tr1 differentiation. Immunol. Cell Biol. 2019, 97, 512–518. [Google Scholar] [CrossRef]
  113. Stylianou, A.; Hadjichrysanthou, C.; Truscott, J.E.; Anderson, R.M. Developing a mathematical model for the evaluation of the potential impact of a partially efficacious vaccine on the transmission dynamics of Schistosoma mansoni in human communities. Parasit. Vectors 2017, 10, 294. [Google Scholar] [CrossRef]
  114. Chisango, T.J.; Ndlovu, B.; Vengesai, A.; Nhidza, A.F.; Sibanda, E.P.; Zhou, D.; Mutapi, F.; Mduluza, T. Benefits of annual chemotherapeutic control of schistosomiasis on the development of protective immunity. BMC Infect. Dis. 2019, 19, 219. [Google Scholar] [CrossRef] [PubMed]
  115. Kabuyaya, M.; Chimbari, M.J.; Mukaratirwa, S. Efficacy of praziquantel treatment regimens in pre-school and school aged children infected with schistosomiasis in sub-Saharan Africa: A systematic review. Infect. Dis. Poverty 2018, 7, 73. [Google Scholar] [CrossRef] [PubMed]
  116. Mitchell, K.M.; Mutapi, F.; Mduluza, T.; Midzi, N.; Savill, N.J.; Woolhouse, M.E. Predicted impact of mass drug administration on the development of protective immunity against Schistosoma haematobium. PLoS Negl. Trop. Dis. 2014, 8, e3059. [Google Scholar] [CrossRef] [PubMed]
  117. Chan, M.S. The consequences of uncertainty for the prediction of the effects of schistosomiasis control programmes. Epidemiol. Infect. 1996, 117, 537–550. [Google Scholar] [CrossRef] [PubMed]
  118. Hu, G.H.; Hu, J.; Song, K.Y.; Lin, D.D.; Zhang, J.; Cao, C.L.; Xu, J.; Li, D.; Jiang, W.S. The role of health education and health promotion in the control of schistosomiasis: Experiences from a 12-year intervention study in the Poyang Lake area. Acta Trop. 2005, 96, 232–241. [Google Scholar] [CrossRef] [PubMed]
  119. Xiang, J.; Chen, H.; Ishikawa, H. A mathematical model for the transmission of Schistosoma japonicum in consideration of seasonal water level fluctuations of Poyang Lake in Jiangxi, China. Parasitol. Int. 2013, 62, 118–126. [Google Scholar] [CrossRef] [PubMed]
  120. Gray, D.J.; Williams, G.M.; Li, Y.; McManus, D.P. Transmission dynamics of Schistosoma japonicum in the lakes and marshlands of China. PLoS ONE 2008, 3, e4058. [Google Scholar] [CrossRef] [PubMed]
  121. McManus, D.P. Prospects for development of a transmission blocking vaccine against Schistosoma japonicum. Parasite Immunol. 2005, 27, 297–308. [Google Scholar] [CrossRef]
  122. Molehin, A.J.; McManus, D.P.; You, H. Vaccines for Human Schistosomiasis: Recent Progress, New Developments and Future Prospects. Int. J. Mol. Sci. 2022, 23, 2255. [Google Scholar] [CrossRef]
  123. Churcher, T.S.; Basanez, M.G. Density dependence and the spread of anthelmintic resistance. Evolution 2008, 62, 528–537. [Google Scholar] [CrossRef]
  124. Munisi, D.Z.; Buza, J.; Mpolya, E.A.; Angelo, T.; Kinung’hi, S.M. The Efficacy of Single-Dose versus Double-Dose Praziquantel Treatments on Schistosoma mansoni Infections: Its Implication on Undernutrition and Anaemia among Primary Schoolchildren in Two On-Shore Communities, Northwestern Tanzania. Biomed. Res. Int. 2017, 2017, 7035025. [Google Scholar] [CrossRef] [PubMed]
  125. Crellen, T.; Walker, M.; Lamberton, P.H.; Kabatereine, N.B.; Tukahebwa, E.M.; Cotton, J.A.; Webster, J.P. Reduced Efficacy of Praziquantel against Schistosoma mansoni Is Associated with Multiple Rounds of Mass Drug Administration. Clin. Infect. Dis. 2016, 63, 1151–1159. [Google Scholar] [CrossRef] [PubMed]
  126. Thomas, C.M.; Timson, D.J. The Mechanism of Action of Praziquantel: Six Hypotheses. Curr. Top. Med. Chem. 2018, 18, 1575–1584. [Google Scholar] [CrossRef] [PubMed]
  127. Knowles, S.C.; Webster, B.L.; Garba, A.; Sacko, M.; Diaw, O.T.; Fenwick, A.; Rollinson, D.; Webster, J.P. Epidemiological Interactions between Urogenital and Intestinal Human Schistosomiasis in the Context of Praziquantel Treatment across Three West African Countries. PLoS Negl. Trop. Dis. 2015, 9, e0004019. [Google Scholar] [CrossRef] [PubMed]
  128. Fenwick, A. Praziquantel: Do we need another antischistosoma treatment? Future Med. Chem. 2015, 7, 677–680. [Google Scholar] [CrossRef] [PubMed]
  129. Lamberton, P.H.; Crellen, T.; Cotton, J.A.; Webster, J.P. Modelling the effects of mass drug administration on the molecular epidemiology of schistosomes. Adv. Parasitol. 2015, 87, 293–327. [Google Scholar] [CrossRef]
  130. Kura, K.; Truscott, J.E.; Toor, J.; Anderson, R.M. Modelling the impact of a Schistosoma mansoni vaccine and mass drug administration to achieve morbidity control and transmission elimination. PLoS Negl. Trop. Dis. 2019, 13, e0007349. [Google Scholar] [CrossRef]
  131. Hollingsworth, T.D. Counting Down the 2020 Goals for 9 Neglected Tropical Diseases: What Have We Learned From Quantitative Analysis and Transmission Modeling? Clin. Infect. Dis. 2018, 66, S237–S244. [Google Scholar] [CrossRef]
  132. King, C.H. The evolving schistosomiasis agenda 2007-2017-Why we are moving beyond morbidity control toward elimination of transmission. PLoS Negl. Trop. Dis. 2017, 11, e0005517. [Google Scholar] [CrossRef]
  133. Toor, J.; Truscott, J.E.; Werkman, M.; Turner, H.C.; Phillips, A.E.; King, C.H.; Medley, G.F.; Anderson, R.M. Determining post-treatment surveillance criteria for predicting the elimination of Schistosoma mansoni transmission. Parasit. Vectors 2019, 12, 437. [Google Scholar] [CrossRef]
  134. Anderson, R.M.; Turner, H.C.; Farrell, S.H.; Truscott, J.E. Studies of the Transmission Dynamics, Mathematical Model Development and the Control of Schistosome Parasites by Mass Drug Administration in Human Communities. Adv. Parasitol. 2016, 94, 199–246. [Google Scholar] [CrossRef] [PubMed]
  135. Zwang, J.; Olliaro, P.L. Clinical efficacy and tolerability of praziquantel for intestinal and urinary schistosomiasis-a meta-analysis of comparative and non-comparative clinical trials. PLoS Negl. Trop. Dis. 2014, 8, e3286. [Google Scholar] [CrossRef] [PubMed]
  136. Toor, J.; Alsallaq, R.; Truscott, J.E.; Turner, H.C.; Werkman, M.; Gurarie, D.; King, C.H.; Anderson, R.M. Are We on Our Way to Achieving the 2020 Goals for Schistosomiasis Morbidity Control Using Current World Health Organization Guidelines? Clin. Infect. Dis. 2018, 66, S245–S252. [Google Scholar] [CrossRef] [PubMed]
  137. Gurarie, D.; King, C.H. Heterogeneous model of schistosomiasis transmission and long-term control: The combined influence of spatial variation and age-dependent factors on optimal allocation of drug therapy. Parasitology 2005, 130, 49–65. [Google Scholar] [CrossRef] [PubMed]
  138. Macdonald, G. The dynamics of helminth infections, with special reference to schistosomes. Trans. R. Soc. Trop. Med. Hyg. 1965, 59, 489–506. [Google Scholar] [CrossRef] [PubMed]
  139. Fukuhara, K.; Phompida, S.; Insisiengmay, S.; Kirinoki, M.; Chigusa, Y.; Nakamura, S.; Matsuda, H.; Ishikawa, H. Analysis of the effectiveness of control measures against Schistosoma mekongi using an intra- and inter-village model in Champasak Province, Lao PDR. Parasitol. Int. 2011, 60, 452–459. [Google Scholar] [CrossRef] [PubMed]
  140. Liang, S.; Seto, E.Y.; Remais, J.V.; Zhong, B.; Yang, C.; Hubbard, A.; Davis, G.M.; Gu, X.; Qiu, D.; Spear, R.C. Environmental effects on parasitic disease transmission exemplified by schistosomiasis in western China. Proc. Natl. Acad. Sci. USA 2007, 104, 7110–7115. [Google Scholar] [CrossRef]
  141. Ishikawa, H.; Ohmae, H.; Pangilinan, R.; Redulla, A.; Matsuda, H. Modeling the dynamics and control of Schistosoma japonicum transmission on Bohol island, the Philippines. Parasitol. Int. 2006, 55, 23–29. [Google Scholar] [CrossRef]
  142. Remais, J. Modelling environmentally-mediated infectious diseases of humans: Transmission dynamics of schistosomiasis in China. Adv. Exp. Med. Biol. 2010, 673, 79–98. [Google Scholar] [CrossRef]
  143. Sokolow, S.H.; Wood, C.L.; Jones, I.J.; Lafferty, K.D.; Kuris, A.M.; Hsieh, M.H.; De Leo, G.A. To Reduce the Global Burden of Human Schistosomiasis, Use ‘Old Fashioned’ Snail Control. Trends Parasitol. 2018, 34, 23–40. [Google Scholar] [CrossRef]
  144. Hollingsworth, T.D.; Adams, E.R.; Anderson, R.M.; Atkins, K.; Bartsch, S.; Basanez, M.G.; Behrend, M.; Blok, D.J.; Chapman, L.A.; Coffeng, L.; et al. Quantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases. Parasit. Vectors 2015, 8, 630. [Google Scholar] [CrossRef] [PubMed]
  145. Coura, J.R. Control of schistosomiasis in Brazil: Perspectives and proposals. Mem. Inst. Oswaldo Cruz 1995, 90, 257–260. [Google Scholar] [CrossRef] [PubMed]
  146. Lo, N.C.; Gurarie, D.; Yoon, N.; Coulibaly, J.T.; Bendavid, E.; Andrews, J.R.; King, C.H. Impact and cost-effectiveness of snail control to achieve disease control targets for schistosomiasis. Proc. Natl. Acad. Sci. USA 2018, 115, E584–E591. [Google Scholar] [CrossRef] [PubMed]
  147. Webster, J.P.; Molyneux, D.H.; Hotez, P.J.; Fenwick, A. The contribution of mass drug administration to global health: Past, present and future. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2014, 369, 20130434. [Google Scholar] [CrossRef] [PubMed]
  148. Macdonald, G. Dynamic models in tropical hygiene. Proc. R. Soc. Med. 1968, 61, 456. [Google Scholar] [PubMed]
  149. Rosenfield, P.L.; Smith, R.A.; Wolman, M.G. Development and verification of a schistosomiasis transmission model. Am. J. Trop. Med. Hyg. 1977, 26, 505–516. [Google Scholar] [CrossRef] [PubMed]
  150. Rudge, J.W.; Webster, J.P.; Lu, D.B.; Wang, T.P.; Fang, G.R.; Basanez, M.G. Identifying host species driving transmission of schistosomiasis japonica, a multihost parasite system, in China. Proc. Natl. Acad. Sci. USA 2013, 110, 11457–11462. [Google Scholar] [CrossRef] [PubMed]
  151. Chen, Z.; Zou, L.; Shen, D.; Zhang, W.; Ruan, S. Mathematical modelling and control of schistosomiasis in Hubei Province, China. Acta Trop. 2010, 115, 119–125. [Google Scholar] [CrossRef] [PubMed]
  152. Williams, G.M.; Sleigh, A.C.; Li, Y.; Feng, Z.; Davis, G.M.; Chen, H.; Ross, A.G.; Bergquist, R.; McManus, D.P. Mathematical modelling of schistosomiasis japonica: Comparison of control strategies in the People’s Republic of China. Acta Trop. 2002, 82, 253–262. [Google Scholar] [CrossRef]
  153. Da’dara, A.A.; Li, Y.S.; Xiong, T.; Zhou, J.; Williams, G.M.; McManus, D.P.; Feng, Z.; Yu, X.L.; Gray, D.J.; Harn, D.A. DNA-based vaccines protect against zoonotic schistosomiasis in water buffalo. Vaccine 2008, 26, 3617–3625. [Google Scholar] [CrossRef]
  154. Gray, D.J.; Li, Y.S.; Williams, G.M.; Zhao, Z.Y.; Harn, D.A.; Li, S.M.; Ren, M.Y.; Feng, Z.; Guo, F.Y.; Guo, J.G.; et al. A multi-component integrated approach for the elimination of schistosomiasis in the People’s Republic of China: Design and baseline results of a 4-year cluster-randomised intervention trial. Int. J. Parasitol. 2014, 44, 659–668. [Google Scholar] [CrossRef]
  155. Williams, G.M.; Li, Y.S.; Gray, D.J.; Zhao, Z.Y.; Harn, D.A.; Shollenberger, L.M.; Li, S.M.; Yu, X.; Feng, Z.; Guo, J.G.; et al. Field Testing Integrated Interventions for Schistosomiasis Elimination in the People’s Republic of China: Outcomes of a Multifactorial Cluster-Randomized Controlled Trial. Front. Immunol. 2019, 10, 645. [Google Scholar] [CrossRef] [PubMed]
  156. McManus, D.P.; Gray, D.J.; Li, Y.; Feng, Z.; Williams, G.M.; Stewart, D.; Rey-Ladino, J.; Ross, A.G. Schistosomiasis in the People’s Republic of China: The era of the Three Gorges Dam. Clin. Microbiol. Rev. 2010, 23, 442–466. [Google Scholar] [CrossRef]
  157. Li, Y.; Teng, Z.; Ruan, S.; Li, M.; Feng, X. A mathematical model for the seasonal transmission of schistosomiasis in the lake and marshland regions of China. Math. Biosci. Eng. 2017, 14, 1279–1299. [Google Scholar] [CrossRef]
  158. Zhou, Y.B.; Liang, S.; Chen, G.X.; Rea, C.; He, Z.G.; Zhang, Z.J.; Wei, J.G.; Zhao, G.M.; Jiang, Q.W. An integrated strategy for transmission control of Schistosoma japonicum in a marshland area of China: Findings from a five-year longitudinal survey and mathematical modeling. Am. J. Trop. Med. Hyg. 2011, 85, 83–88. [Google Scholar] [CrossRef]
  159. Hisakane, N.; Kirinoki, M.; Chigusa, Y.; Sinuon, M.; Socheat, D.; Matsuda, H.; Ishikawa, H. The evaluation of control measures against Schistosoma mekongi in Cambodia by a mathematical model. Parasitol. Int. 2008, 57, 379–385. [Google Scholar] [CrossRef]
  160. El Ridi, R.; Tallima, H. Why the radiation-attenuated cercarial immunization studies failed to guide the road for an effective schistosomiasis vaccine: A review. J. Adv. Res. 2015, 6, 255–267. [Google Scholar] [CrossRef] [PubMed]
  161. Hewitson, J.P.; Hamblin, P.A.; Mountford, A.P. Immunity induced by the radiation-attenuated schistosome vaccine. Parasite Immunol. 2005, 27, 271–280. [Google Scholar] [CrossRef]
  162. McManus, D.P. The Search for a Schistosomiasis Vaccine: Australia’s Contribution. Vaccines 2021, 9, 872. [Google Scholar] [CrossRef] [PubMed]
  163. Nash, S.; Mentzer, A.J.; Lule, S.A.; Kizito, D.; Smits, G.; van der Klis, F.R.; Elliott, A.M. The impact of prenatal exposure to parasitic infections and to anthelminthic treatment on antibody responses to routine immunisations given in infancy: Secondary analysis of a randomised controlled trial. PLoS Negl. Trop. Dis. 2017, 11, e0005213. [Google Scholar] [CrossRef]
  164. Kura, K.; Ayabina, D.; Hollingsworth, T.D.; Anderson, R.M. Determining the optimal strategies to achieve elimination of transmission for Schistosoma mansoni. Parasit. Vectors 2022, 15, 55. [Google Scholar] [CrossRef] [PubMed]
  165. Hotez, P.J.; Bottazzi, M.E. Human Schistosomiasis Vaccines as Next Generation Control Tools. Trop. Med. Infect. Dis. 2023, 8, 170. [Google Scholar] [CrossRef] [PubMed]
  166. de Oliveira Lopes, D.; de Oliveira, F.M.; do Vale Coelho, I.E.; de Oliveira Santana, K.T.; Mendonca, F.C.; Taranto, A.G.; dos Santos, L.L.; Miyoshi, A.; de Carvalho Azevedo, V.A.; Comar, M., Jr. Identification of a vaccine against schistosomiasis using bioinformatics and molecular modeling tools. Infect. Genet. Evol. 2013, 20, 83–95. [Google Scholar] [CrossRef] [PubMed]
  167. U.S. National Library of Medicine. ClinicalTrials.gov. Safety and Immunogenicity Evaluation of the Vaccine Candidate Sm14 in Combination with the Adjuvant Glucopyranosyl Lipid A (GLA-SE) in Adults Living in Endemic Regions for S. Mansoni and S. Haematobium in Senegal. A Comparative, Randomized, Open-Label Trial [NCT03041766]. 2016. Available online: https://clinicaltrials.gov/ct2/show/NCT03041766?term=Sm14&cond=Schistosomiasis&rank=3 (accessed on 11 March 2024).
  168. U.S. National Library of Medicine. ClinicalTrials.gov. Safety and Immunogenicity Evaluation of the Vaccine Candidate Sm14 against Schistosomiasis in Senegalese School Children Healthy or Infected with S. Mansoni and/or S. Haematobium. A Comparative, Randomized, Controlled, Open-label Trial [NCT03799510]. 2018. Available online: https://clinicaltrials.gov/ct2/show/NCT03799510?term=Sm14&cond=Schistosomiasis&rank=2 (accessed on 11 March 2024).
  169. U.S. National Library of Medicine. ClinicalTrials.gov. Anti-Schistosomiasis Sm14-Vaccine in Senegal [NCT05658614]. 2022. Available online: https://classic.clinicaltrials.gov/ct2/show/NCT05658614?term=SM14&draw=2&rank=2 (accessed on 12 March 2024).
  170. U.S. National Library of Medicine. ClinicalTrials.gov. Sm-TSP-2 Schistosomiasis Vaccine in Healthy Ugandan Adults [NCT03910972]. 2019. Available online: https://clinicaltrials.gov/ct2/show/NCT03910972?term=TSP&cond=Schistosomiasis&rank=2 (accessed on 12 March 2024).
  171. U.S. National Library of Medicine. ClinicalTrials.gov. A Phase Ib Study of the Safety, Reactogenicity, and Immunogenicity of Sm-TSP-2/Alhydrogel)(R) with or without AP 10-701 for Intestinal Schistosomiasis in Healthy Exposed Adults [NCT03110757]. 2017–2019. Available online: https://classic.clinicaltrials.gov/ct2/show/NCT03110757?term=NCT03110757&draw=2&rank=1 (accessed on 12 March 2024).
  172. U.S. National Library of Medicine. ClinicalTrials.gov. A Phase I Study of the Safety, Reactogenicity, and Immunogenicity of Sm-TSP-2/Alhydrogel® with or without GLA-AF for Intestinal Schistosomiasis in Healthy Adults [NCT02337855]. 2017. Available online: https://clinicaltrials.gov/ct2/show/NCT02337855?term=TSP&cond=Schistosomiasis&rank=1 (accessed on 12 March 2024).
  173. Keitel, W.A.; Potter, G.E.; Diemert, D.; Bethony, J.; El Sahly, H.M.; Kennedy, J.K.; Patel, S.M.; Plieskatt, J.L.; Jones, W.; Deye, G.; et al. A phase 1 study of the safety, reactogenicity, and immunogenicity of a Schistosoma mansoni vaccine with or without glucopyranosyl lipid A aqueous formulation (GLA-AF) in healthy adults from a non-endemic area. Vaccine 2019, 37, 6500–6509. [Google Scholar] [CrossRef]
  174. Diemert, D.J.; Correa-Oliveira, R.; Fraga, C.G.; Talles, F.; Silva, M.R.; Patel, S.M.; Galbiati, S.; Kennedy, J.K.; Lundeen, J.S.; Gazzinelli, M.F.; et al. A randomized, controlled Phase 1b trial of the Sm-TSP-2 Vaccine for intestinal schistosomiasis in healthy Brazilian adults living in an endemic area. PLoS Negl. Trop. Dis. 2023, 17, e0011236. [Google Scholar] [CrossRef] [PubMed]
  175. U.S. National Library of Medicine. ClinicalTrials.gov. Safety, Tolerability, and Immunogenicity Study of Sm-p80 + GLA-SE (SchistoShield(R)) Vaccine in Healthy Adults [NCT05292391]. 2022. Available online: https://classic.clinicaltrials.gov/ct2/show/NCT05292391?term=SchistoShield&draw=2&rank=1 (accessed on 14 March 2024).
  176. U.S. National Library of Medicine. ClinicalTrials.gov. A Study to Evaluate the Safety, Tolerability, and Immunogenicity of the Sm-p80 + GLA-SE (SchistoShield®) Candidate Vaccine in Healthy Adults in Burkina Faso and Madagascar [NCT05762393]. 2023. Available online: https://classic.clinicaltrials.gov/ct2/show/NCT05762393?term=SchistoShield&draw=2&rank=2 (accessed on 14 March 2024).
  177. U.S. National Library of Medicine. ClinicalTrials.gov. Sm-p80 Schistosomiasis Challenge Study [NCT05999825]. 2023. Available online: https://classic.clinicaltrials.gov/ct2/show/NCT05999825?term=SchistoShield&draw=2&rank=3 (accessed on 15 March 2024).
  178. Tebeje, B.M.; Harvie, M.; You, H.; Loukas, A.; McManus, D.P. Schistosomiasis vaccines: Where do we stand? Parasit. Vectors 2016, 9, 528. [Google Scholar] [CrossRef] [PubMed]
  179. Anisuzzaman; Tsuji, N. Schistosomiasis and hookworm infection in humans: Disease burden, pathobiology and anthelmintic vaccines. Parasitol. Int. 2020, 75, 102051. [Google Scholar] [CrossRef] [PubMed]
  180. Merrifield, M.; Hotez, P.J.; Beaumier, C.M.; Gillespie, P.; Strych, U.; Hayward, T.; Bottazzi, M.E. Advancing a vaccine to prevent human schistosomiasis. Vaccine 2016, 34, 2988–2991. [Google Scholar] [CrossRef]
  181. U.S. National Library of Medicine. ClinicalTrials.gov. Efficacy and Safety Evaluation of the Therapeutic Vaccine Candidate Sh28GST in Association With Praziquantel (PZQ) for Prevention of Clinical and Parasitological Recurrences of S. Haematobium Infection in Children [NCT00870649]. 2012. Available online: https://clinicaltrials.gov/ct2/show/NCT00870649?term=sh28GST&cond=Schistosomiasis&draw=2&rank=1 (accessed on 14 March 2004).
  182. Riveau, G.; Schacht, A.M.; Dompnier, J.P.; Deplanque, D.; Seck, M.; Waucquier, N.; Senghor, S.; Delcroix-Genete, D.; Hermann, E.; Idris-Khodja, N.; et al. Safety and efficacy of the rSh28GST urinary schistosomiasis vaccine: A phase 3 randomized, controlled trial in Senegalese children. PLoS Negl. Trop. Dis. 2018, 12, e0006968. [Google Scholar] [CrossRef]
  183. Moser, D.; Tendler, M.; Griffiths, G.; Klinkert, M.Q. A 14-kDa Schistosoma mansoni polypeptide is homologous to a gene family of fatty acid binding proteins. J. Biol. Chem. 1991, 266, 8447–8454. [Google Scholar] [CrossRef]
  184. Becker, M.M.; Kalinna, B.H.; Waine, G.J.; McManus, D.P. Gene cloning, overproduction and purification of a functionally active cytoplasmic fatty acid-binding protein (Sj-FABPC) from the human blood fluke Schistosoma japonicum. Gene 1994, 148, 321–325. [Google Scholar] [CrossRef] [PubMed]
  185. Esteves, A.; Joseph, L.; Paulino, M.; Ehrlich, R. Remarks on the phylogeny and structure of fatty acid binding proteins from parasitic platyhelminths. Int. J. Parasitol. 1997, 27, 1013–1023. [Google Scholar] [CrossRef] [PubMed]
  186. Tendler, M.; Brito, C.A.; Vilar, M.M.; Serra-Freire, N.; Diogo, C.M.; Almeida, M.S.; Delbem, A.C.; Da Silva, J.F.; Savino, W.; Garratt, R.C.; et al. A Schistosoma mansoni fatty acid-binding protein, Sm14, is the potential basis of a dual-purpose anti-helminth vaccine. Proc. Natl. Acad. Sci. USA 1996, 93, 269–273. [Google Scholar] [CrossRef] [PubMed]
  187. Vilar, M.M.; Barrientos, F.; Almeida, M.; Thaumaturgo, N.; Simpson, A.; Garratt, R.; Tendler, M. An experimental bivalent peptide vaccine against schistosomiasis and fascioliasis. Vaccine 2003, 22, 137–144. [Google Scholar] [CrossRef] [PubMed]
  188. Santini-Oliveira, M.; Machado Pinto, P.; Santos, T.D.; Vilar, M.M.; Grinsztejn, B.; Veloso, V.; Paes-de-Almeida, E.C.; Amaral, M.A.Z.; Ramos, C.R.; Marroquin-Quelopana, M.; et al. Development of the Sm14/GLA-SE Schistosomiasis Vaccine Candidate: An Open, Non-Placebo-Controlled, Standardized-Dose Immunization Phase Ib Clinical Trial Targeting Healthy Young Women. Vaccines 2022, 10, 1724. [Google Scholar] [CrossRef]
  189. Charrin, S.; Jouannet, S.; Boucheix, C.; Rubinstein, E. Tetraspanins at a glance. J. Cell Sci. 2014, 127, 3641–3648. [Google Scholar] [CrossRef] [PubMed]
  190. Tran, M.H.; Pearson, M.S.; Bethony, J.M.; Smyth, D.J.; Jones, M.K.; Duke, M.; Don, T.A.; McManus, D.P.; Correa-Oliveira, R.; Loukas, A. Tetraspanins on the surface of Schistosoma mansoni are protective antigens against schistosomiasis. Nat. Med. 2006, 12, 835–840. [Google Scholar] [CrossRef] [PubMed]
  191. Zhang, W.; Li, J.; Duke, M.; Jones, M.K.; Kuang, L.; Zhang, J.; Blair, D.; Li, Y.; McManus, D.P. Inconsistent protective efficacy and marked polymorphism limits the value of Schistosoma japonicum tetraspanin-2 as a vaccine target. PLoS Negl. Trop. Dis. 2011, 5, e1166. [Google Scholar] [CrossRef] [PubMed]
  192. Cupit, P.M.; Steinauer, M.L.; Tonnessen, B.W.; Eric Agola, L.; Kinuthia, J.M.; Mwangi, I.N.; Mutuku, M.W.; Mkoji, G.M.; Loker, E.S.; Cunningham, C. Polymorphism associated with the Schistosoma mansoni tetraspanin-2 gene. Int. J. Parasitol. 2011, 41, 1249–1252. [Google Scholar] [CrossRef]
  193. Jia, X.; Schulte, L.; Loukas, A.; Pickering, D.; Pearson, M.; Mobli, M.; Jones, A.; Rosengren, K.J.; Daly, N.L.; Gobert, G.N.; et al. Solution structure, membrane interactions, and protein binding partners of the tetraspanin Sm-TSP-2, a vaccine antigen from the human blood fluke Schistosoma mansoni. J. Biol. Chem. 2014, 289, 7151–7163. [Google Scholar] [CrossRef]
  194. Croall, D.E.; Ersfeld, K. The calpains: Modular designs and functional diversity. Genome Biol. 2007, 8, 218. [Google Scholar] [CrossRef] [PubMed]
  195. Karcz, S.R.; Podesta, R.B.; Siddiqui, A.A.; Dekaban, G.A.; Strejan, G.H.; Clarke, M.W. Molecular cloning and sequence analysis of a calcium-activated neutral protease (calpain) from Schistosoma mansoni. Mol. Biochem. Parasitol. 1991, 49, 333–336. [Google Scholar] [CrossRef] [PubMed]
  196. Zhang, R.; Suzuki, T.; Takahashi, S.; Yoshida, A.; Kawaguchi, H.; Maruyama, H.; Yabu, Y.; Fu, J.; Shirai, T.; Ohta, N. Cloning and molecular characterization of calpain, a calcium-activated neutral proteinase, from different strains of Schistosoma japonicum. Parasitol. Int. 2000, 48, 232–242. [Google Scholar] [CrossRef] [PubMed]
  197. Johnson, K.A.; Angelucci, F.; Bellelli, A.; Herve, M.; Fontaine, J.; Tsernoglou, D.; Capron, A.; Trottein, F.; Brunori, M. Crystal structure of the 28 kDa glutathione S-transferase from Schistosoma haematobium. Biochemistry 2003, 42, 10084–10094. [Google Scholar] [CrossRef] [PubMed]
  198. Trottein, F.; Godin, C.; Pierce, R.J.; Sellin, B.; Taylor, M.G.; Gorillot, I.; Silva, M.S.; Lecocq, J.P.; Capron, A. Inter-species variation of schistosome 28-kDa glutathione S-transferases. Mol. Biochem. Parasitol. 1992, 54, 63–72. [Google Scholar] [CrossRef] [PubMed]
  199. Dumont, M.; Mone, H.; Mouahid, G.; Idris, M.A.; Shaban, M.; Boissier, J. Influence of pattern of exposure, parasite genetic diversity and sex on the degree of protection against reinfection with Schistosoma mansoni. Parasitol. Res. 2007, 101, 247–252. [Google Scholar] [CrossRef] [PubMed]
  200. Leonardo, L.; Bergquist, R.; Olveda, R.; Satrija, F.; Sripa, B.; Sayasone, S.; Khieu, V.; Willingham, A.L.; Utzinger, J.; Zhou, X.N. From country control programmes to translational research. Adv. Parasitol. 2019, 105, 69–93. [Google Scholar] [CrossRef] [PubMed]
  201. Scherer, A.; McLean, A. Mathematical models of vaccination. Br. Med. Bull. 2002, 62, 187–199. [Google Scholar] [CrossRef] [PubMed]
  202. Gao, S.J.; Cao, H.H.; He, Y.Y.; Liu, Y.J.; Zhang, X.Y.; Yang, G.J.; Zhou, X.N. The basic reproductive ratio of Barbour’s two-host schistosomiasis model with seasonal fluctuations. Parasit. Vectors 2017, 10, 42. [Google Scholar] [CrossRef]
  203. Barbour, A.D. Macdonald’s model and the transmission of bilharzia. Trans. R. Soc. Trop. Med. Hyg. 1978, 72, 6–15. [Google Scholar] [CrossRef]
  204. Bichara, D.M.; Guiro, A.; Iggidr, A.; Ngom, D. State and parameter estimation for a class of schistosomiasis models. Math. Biosci. 2019, 315, 108226. [Google Scholar] [CrossRef] [PubMed]
  205. Goddard, M.J. On Macdonald’s model for schistosomiasis. Trans. R. Soc. Trop. Med. Hyg. 1978, 72, 123–131. [Google Scholar] [CrossRef]
  206. Nasell, I. On transmission and control of schistosomiasis, with comments on Macdonald’s model. Theor. Popul. Biol. 1977, 12, 335–365. [Google Scholar] [CrossRef]
  207. Mari, L.; Ciddio, M.; Casagrandi, R.; Perez-Saez, J.; Bertuzzo, E.; Rinaldo, A.; Sokolow, S.H.; De Leo, G.A.; Gatto, M. Heterogeneity in schistosomiasis transmission dynamics. J. Theor. Biol. 2017, 432, 87–99. [Google Scholar] [CrossRef] [PubMed]
  208. Gao, S.J.; He, Y.Y.; Liu, Y.J.; Yang, G.J.; Zhou, X.N. Field transmission intensity of Schistosoma japonicum measured by basic reproduction ratio from modified Barbour’s model. Parasit. Vectors 2013, 6, 141. [Google Scholar] [CrossRef]
  209. Qi, L.X.; Tang, Y.; Tian, S.J. Parameter estimation of modeling schistosomiasis transmission for four provinces in China. Math. Biosci. Eng. 2019, 16, 1005–1020. [Google Scholar] [CrossRef]
  210. Barbour, A.D. Modeling the transmission of schistosomiasis: An introductory view. Am. J. Trop. Med. Hyg. 1996, 55, 135–143. [Google Scholar] [CrossRef]
  211. Barbour, A.D.; Kafetzaki, M. A host-parasite model yielding heterogeneous parasite loads. J. Math. Biol. 1993, 31, 157–176. [Google Scholar] [CrossRef] [PubMed]
  212. Gandon, S.; Day, T.; Metcalf, C.J.E.; Grenfell, B.T. Forecasting Epidemiological and Evolutionary Dynamics of Infectious Diseases. Trends Ecol. Evol. 2016, 31, 776–788. [Google Scholar] [CrossRef]
  213. Grassly, N.C.; Fraser, C. Mathematical models of infectious disease transmission. Nat. Rev. Microbiol. 2008, 6, 477–487. [Google Scholar] [CrossRef]
  214. Wallinga, J. Modelling the impact of vaccination strategies. Neth. J. Med. 2002, 60, 67–75, discussion 76–77. [Google Scholar] [PubMed]
  215. Spear, R.C.; Hubbard, A. Parameter estimation and site-specific calibration of disease transmission models. Adv. Exp. Med. Biol. 2010, 673, 99–111. [Google Scholar] [CrossRef] [PubMed]
  216. Castillo-Chavez, C.; Feng, Z.; Xu, D. A schistosomiasis model with mating structure and time delay. Math. Biosci. 2008, 211, 333–341. [Google Scholar] [CrossRef] [PubMed]
  217. Gurarie, D.; Seto, E.Y. Connectivity sustains disease transmission in environments with low potential for endemicity: Modelling schistosomiasis with hydrologic and social connectivities. J. R. Soc. Interface 2009, 6, 495–508. [Google Scholar] [CrossRef] [PubMed]
  218. Turner, H.C.; Walker, M.; French, M.D.; Blake, I.M.; Churcher, T.S.; Basanez, M.G. Neglected tools for neglected diseases: Mathematical models in economic evaluations. Trends Parasitol. 2014, 30, 562–570. [Google Scholar] [CrossRef] [PubMed]
  219. Bailey, N.T. The case for mathematical modelling of schistosomiasis. Parasitol. Today 1986, 2, 158–163. [Google Scholar] [CrossRef] [PubMed]
  220. Gurarie, D.; Lo, N.C.; Ndeffo-Mbah, M.L.; Durham, D.P.; King, C.H. The human-snail transmission environment shapes long term schistosomiasis control outcomes: Implications for improving the accuracy of predictive modeling. PLoS Negl. Trop. Dis. 2018, 12, e0006514. [Google Scholar] [CrossRef]
  221. Woolhouse, M.E. On the application of mathematical models of schistosome transmission dynamics. I. Natural transmission. Acta Trop. 1991, 49, 241–270. [Google Scholar] [CrossRef] [PubMed]
  222. Woolhouse, M.E. On the application of mathematical models of schistosome transmission dynamics. II. Control. Acta Trop. 1992, 50, 189–204. [Google Scholar] [CrossRef]
  223. Chan, M.S.; Guyatt, H.L.; Bundy, D.A.; Medley, G.F. The development and validation of an age-structured model for the evaluation of disease control strategies for intestinal helminths. Parasitology 1994, 109 Pt 3, 389–396. [Google Scholar] [CrossRef]
  224. Lloyd-Smith, J.O.; George, D.; Pepin, K.M.; Pitzer, V.E.; Pulliam, J.R.; Dobson, A.P.; Hudson, P.J.; Grenfell, B.T. Epidemic dynamics at the human-animal interface. Science 2009, 326, 1362–1367. [Google Scholar] [CrossRef] [PubMed]
  225. Woolhouse, M.E. Mathematical models of transmission dynamics and control of schistosomiasis. Am. J. Trop. Med. Hyg. 1996, 55, 144–148. [Google Scholar] [CrossRef]
  226. Seto, E.Y.; Carlton, E.J. Disease transmission models for public health decision-making: Designing intervention strategies for Schistosoma japonicum. Adv. Exp. Med. Biol. 2010, 673, 172–183. [Google Scholar] [CrossRef] [PubMed]
  227. Truscott, J.E.; Gurarie, D.; Alsallaq, R.; Toor, J.; Yoon, N.; Farrell, S.H.; Turner, H.C.; Phillips, A.E.; Aurelio, H.O.; Ferro, J.; et al. A comparison of two mathematical models of the impact of mass drug administration on the transmission and control of schistosomiasis. Epidemics 2017, 18, 29–37. [Google Scholar] [CrossRef]
  228. Kura, K.; Collyer, B.S.; Toor, J.; Truscott, J.E.; Hollingsworth, T.D.; Keeling, M.J.; Anderson, R.M. Policy implications of the potential use of a novel vaccine to prevent infection with Schistosoma mansoni with or without mass drug administration. Vaccine 2020, 38, 4379–4386. [Google Scholar] [CrossRef] [PubMed]
  229. Basanez, M.G.; McCarthy, J.S.; French, M.D.; Yang, G.J.; Walker, M.; Gambhir, M.; Prichard, R.K.; Churcher, T.S. A research agenda for helminth diseases of humans: Modelling for control and elimination. PLoS Negl. Trop. Dis. 2012, 6, e1548. [Google Scholar] [CrossRef]
  230. Woolhouse, M.E. Human schistosomiasis: Potential consequences of vaccination. Vaccine 1995, 13, 1045–1050. [Google Scholar] [CrossRef]
  231. Woolhouse, M.E. A theoretical framework for the immunoepidemiology of helminth infection. Parasite Immunol. 1992, 14, 563–578. [Google Scholar] [CrossRef]
  232. Woolhouse, M.E. A theoretical framework for immune responses and predisposition to helminth infection. Parasite Immunol. 1993, 15, 583–594. [Google Scholar] [CrossRef]
  233. Chan, M.S.; Anderson, R.M.; Medley, G.F.; Bundy, D.A. Dynamic aspects of morbidity and acquired immunity in schistosomiasis control. Acta Trop. 1996, 62, 105–117. [Google Scholar] [CrossRef]
  234. Anderson, R.M.; May, R.M. Herd immunity to helminth infection and implications for parasite control. Nature 1985, 315, 493–496. [Google Scholar] [CrossRef] [PubMed]
  235. Woolhouse, M.E. Immunoepidemiology of human schistosomes: Taking the theory into the field. Parasitol. Today 1994, 10, 196–202. [Google Scholar] [CrossRef] [PubMed]
  236. Chan, M.S.; Guyatt, H.L.; Bundy, D.A.; Medley, G.F. Dynamic models of schistosomiasis morbidity. Am. J. Trop. Med. Hyg. 1996, 55, 52–62. [Google Scholar] [CrossRef]
  237. Liang, S.; Spear, R.C.; Seto, E.; Hubbard, A.; Qiu, D. A multi-group model of Schistosoma japonicum transmission dynamics and control: Model calibration and control prediction. Trop. Med. Int. Health 2005, 10, 263–278. [Google Scholar] [CrossRef] [PubMed]
  238. Chan, M.S.; Hall, B.F.; Bundy, D.A.P. Modelling of potential schistosomiasis vaccination programmes. Parasitology 1996, 12, 4. [Google Scholar] [CrossRef]
  239. Chan, M.S.; Woolhouse, M.E.; Bundy, D.A. Human schistosomiasis: Potential long-term consequences of vaccination programmes. Vaccine 1997, 15, 1545–1550. [Google Scholar] [CrossRef] [PubMed]
  240. Chan, M.S.; Guyatt, H.L.; Bundy, D.A.; Booth, M.; Fulford, A.J.; Medley, G.F. The development of an age structured model for schistosomiasis transmission dynamics and control and its validation for Schistosoma mansoni. Epidemiol. Infect. 1995, 115, 325–344. [Google Scholar] [CrossRef]
  241. Yang, H.M. Comparison between schistosomiasis transmission modelings considering acquired immunity and age-structured contact pattern with infested water. Math. Biosci. 2003, 184, 1–26. [Google Scholar] [CrossRef]
  242. Yang, H.M.; Coutinho, F.A.; Massad, E. Acquired immunity on a schistosomiasis transmission model-fitting the data. J. Theor. Biol. 1997, 188, 495–506. [Google Scholar] [CrossRef]
  243. Liu, X.; Takeuchi, Y.; Iwami, S. SVIR epidemic models with vaccination strategies. J. Theor. Biol. 2008, 253, 1–11. [Google Scholar] [CrossRef]
  244. Yang, H.M.; Yang, A.C. The stabilizing effects of the acquired immunity on the schistosomiasis transmission modeling—The sensitivity analysis. Mem. Inst. Oswaldo Cruz 1998, 93 (Suppl. S1), 63–73. [Google Scholar] [CrossRef] [PubMed]
  245. Gurarie, D.; King, C.H.; Wang, X. A new approach to modelling schistosomiasis transmission based on stratified worm burden. Parasitology 2010, 137, 1951–1965. [Google Scholar] [CrossRef] [PubMed]
  246. Gurarie, D.; King, C.H. Population biology of Schistosoma mating, aggregation, and transmission breakpoints: More reliable model analysis for the end-game in communities at risk. PLoS ONE 2014, 9, e115875. [Google Scholar] [CrossRef] [PubMed]
  247. Luchsinger, C.J. Stochastic models of a parasitic infection, exhibiting three basic reproduction ratios. J. Math. Biol. 2001, 42, 532–554. [Google Scholar] [CrossRef] [PubMed]
  248. Anderson, R.M.; May, R.M. Helminth infections of humans: Mathematical models, population dynamics, and control. Adv. Parasitol. 1985, 24, 1–101. [Google Scholar] [CrossRef] [PubMed]
  249. Anderson, R.M.; May, R.M. Population dynamics of human helminth infections: Control by chemotherapy. Nature 1982, 297, 557–563. [Google Scholar] [CrossRef] [PubMed]
  250. McManus, D.P.; Wong, J.Y.; Zhou, J.; Cai, C.; Zeng, Q.; Smyth, D.; Li, Y.; Kalinna, B.H.; Duke, M.J.; Yi, X. Recombinant paramyosin (rec-Sj-97) tested for immunogenicity and vaccine efficacy against Schistosoma japonicum in mice and water buffaloes. Vaccine 2001, 20, 870–878. [Google Scholar] [CrossRef] [PubMed]
  251. Bradley, D.J.; May, R.M. Consequences of helminth aggregation for the dynamics of schistosomiasis. Trans. R. Soc. Trop. Med. Hyg. 1978, 72, 262–273. [Google Scholar] [CrossRef]
  252. Alsallaq, R.A.; Gurarie, D.; Ndeffo Mbah, M.; Galvani, A.; King, C. Quantitative assessment of the impact of partially protective anti-schistosomiasis vaccines. PLoS Negl. Trop. Dis. 2017, 11, e0005544. [Google Scholar] [CrossRef]
  253. Collyer, B.S.; Turner, H.C.; Hollingsworth, T.D.; Keeling, M.J. Vaccination or mass drug administration against schistosomiasis: A hypothetical cost-effectiveness modelling comparison. Parasit. Vectors 2019, 12, 499. [Google Scholar] [CrossRef]
  254. Graham, M.; Ayabina, D.; Lucas, T.C.; Collyer, B.S.; Medley, G.F.; Hollingsworth, T.D.; Toor, J. SCHISTOX: An individual based model for the epidemiology and control of schistosomiasis. Infect. Dis. Model 2021, 6, 438–447. [Google Scholar] [CrossRef] [PubMed]
  255. Farrell, S.H.; Truscott, J.E.; Anderson, R.M. The importance of patient compliance in repeated rounds of mass drug administration (MDA) for the elimination of intestinal helminth transmission. Parasit. Vectors 2017, 10, 291. [Google Scholar] [CrossRef]
  256. Anderson, R.M.; Turner, H.C.; Farrell, S.H.; Yang, J.; Truscott, J.E. What is required in terms of mass drug administration to interrupt the transmission of schistosome parasites in regions of endemic infection? Parasit. Vectors 2015, 8, 553. [Google Scholar] [CrossRef] [PubMed]
  257. Gurarie, D.; Yoon, N.; Li, E.; Ndeffo-Mbah, M.; Durham, D.; Phillips, A.E.; Aurelio, H.O.; Ferro, J.; Galvani, A.P.; King, C.H. Modelling control of Schistosoma haematobium infection: Predictions of the long-term impact of mass drug administration in Africa. Parasit. Vectors 2015, 8, 529. [Google Scholar] [CrossRef] [PubMed]
  258. French, M.D.; Churcher, T.S.; Gambhir, M.; Fenwick, A.; Webster, J.P.; Kabatereine, N.B.; Basanez, M.G. Observed reductions in Schistosoma mansoni transmission from large-scale administration of praziquantel in Uganda: A mathematical modelling study. PLoS Negl. Trop. Dis. 2010, 4, e897. [Google Scholar] [CrossRef] [PubMed]
  259. Toor, J.; Turner, H.C.; Truscott, J.E.; Werkman, M.; Phillips, A.E.; Alsallaq, R.; Medley, G.F.; King, C.H.; Anderson, R.M. The design of schistosomiasis monitoring and evaluation programmes: The importance of collecting adult data to inform treatment strategies for Schistosoma mansoni. PLoS Negl. Trop. Dis. 2018, 12, e0006717. [Google Scholar] [CrossRef] [PubMed]
  260. Turner, H.C.; Truscott, J.E.; Bettis, A.A.; Farrell, S.H.; Deol, A.K.; Whitton, J.M.; Fleming, F.M.; Anderson, R.M. Evaluating the variation in the projected benefit of community-wide mass treatment for schistosomiasis: Implications for future economic evaluations. Parasit. Vectors 2017, 10, 213. [Google Scholar] [CrossRef] [PubMed]
  261. NTD Modelling Consortium Schistosomiasis Group. Insights from quantitative and mathematical modelling on the proposed WHO 2030 goal for schistosomiasis. Gates Open Res. 2019, 3, 1517. [Google Scholar] [CrossRef]
  262. Chan, M.S.; Bundy, D.A. Modelling the dynamic effects of community chemotherapy on patterns of morbidity due to Schistosoma mansoni. Trans. R. Soc. Trop. Med. Hyg. 1997, 91, 216–220. [Google Scholar] [CrossRef]
  263. U.S. National Library of Medicine. ClinicalTrials.gov. Phase 1 Study to Evaluate the Safety of the Vaccine Prepared sm14 against Schistosomiasis [NCT01154049]. 2014. Available online: https://clinicaltrials.gov/ct2/show/NCT01154049?term=Sm14&cond=Schistosomiasis&rank=1 (accessed on 1 January 2024).
  264. Santini-Oliveira, M.; Coler, R.N.; Parra, J.; Veloso, V.; Jayashankar, L.; Pinto, P.M.; Ciol, M.A.; Bergquist, R.; Reed, S.G.; Tendler, M. Schistosomiasis vaccine candidate Sm14/GLA-SE: Phase 1 safety and immunogenicity clinical trial in healthy, male adults. Vaccine 2016, 34, 586–594. [Google Scholar] [CrossRef]
  265. Riveau, G.; Deplanque, D.; Remoue, F.; Schacht, A.M.; Vodougnon, H.; Capron, M.; Thiry, M.; Martial, J.; Libersa, C.; Capron, A. Safety and immunogenicity of rSh28GST antigen in humans: Phase 1 randomized clinical study of a vaccine candidate against urinary schistosomiasis. PLoS Negl. Trop. Dis. 2012, 6, e1704. [Google Scholar] [CrossRef]
  266. U.S. National Library of Medicine. ClinicalTrials.gov. Phase 1 Study Evaluating Safety and Immunological Criteria of Efficacy of the Recombinant Vaccine Candidate Bilhvax against Schistosomiasis [NCT01512277]. 1999. Available online: https://clinicaltrials.gov/ct2/show/NCT01512277?term=rsh28GST&cond=Schistosomiasis&draw=2&rank=1 (accessed on 1 January 2024).
  267. Danso-Appiah, A.; Olliaro, P.L.; Donegan, S.; Sinclair, D.; Utzinger, J. Drugs for treating Schistosoma mansoni infection. Cochrane Database Syst. Rev. 2013, 2, CD000528. [Google Scholar] [CrossRef]
  268. Sousa-Figueiredo, J.C.; Betson, M.; Atuhaire, A.; Arinaitwe, M.; Navaratnam, A.M.; Kabatereine, N.B.; Bickle, Q.; Stothard, J.R. Performance and safety of praziquantel for treatment of intestinal schistosomiasis in infants and preschool children. PLoS Negl. Trop. Dis. 2012, 6, e1864. [Google Scholar] [CrossRef] [PubMed]
  269. Zwang, J.; Olliaro, P. Efficacy and safety of praziquantel 40 mg/kg in preschool-aged and school-aged children: A meta-analysis. Parasit. Vectors 2017, 10, 47. [Google Scholar] [CrossRef] [PubMed]
  270. Oettle, R.C.; Wilson, S. The Interdependence between Schistosome Transmission and Protective Immunity. Trop. Med. Infect. Dis. 2017, 2, 42. [Google Scholar] [CrossRef] [PubMed]
  271. Yang, H.M.; Coutinho, F.A. Acquired immunity of a schistosomiasis transmission model—Analysis of the stabilizing effects. J. Theor. Biol. 1999, 196, 473–482. [Google Scholar] [CrossRef] [PubMed]
  272. Spencer, S.A.; Andriamasy, E.H.; Linder, C.; Penney, J.M.S.; Henstridge-Blows, J.; Russell, H.J.; Hyde, K.; Sheehy, C.; Young, I.L.; Sjoflot, B.; et al. Impact of a Novel, Low-Cost and Sustainable Health Education Program on the Knowledge, Attitudes, and Practices Related to Intestinal Schistosomiasis in School Children in a Hard-to-Reach District of Madagascar. Am. J. Trop. Med. Hyg. 2022, 106, 685–694. [Google Scholar] [CrossRef] [PubMed]
  273. Webster, B.L.; Diaw, O.T.; Seye, M.M.; Webster, J.P.; Rollinson, D. Introgressive hybridization of Schistosoma haematobium group species in Senegal: Species barrier break down between ruminant and human schistosomes. PLoS Negl. Trop. Dis. 2013, 7, e2110. [Google Scholar] [CrossRef] [PubMed]
  274. Van den Broeck, F.; Maes, G.E.; Larmuseau, M.H.; Rollinson, D.; Sy, I.; Faye, D.; Volckaert, F.A.; Polman, K.; Huyse, T. Reconstructing Colonization Dynamics of the Human Parasite Schistosoma mansoni following Anthropogenic Environmental Changes in Northwest Senegal. PLoS Negl. Trop. Dis. 2015, 9, e0003998. [Google Scholar] [CrossRef]
  275. King, K.C.; Stelkens, R.B.; Webster, J.P.; Smith, D.F.; Brockhurst, M.A. Hybridization in Parasites: Consequences for Adaptive Evolution, Pathogenesis, and Public Health in a Changing World. PLoS Pathog. 2015, 11, e1005098. [Google Scholar] [CrossRef]
  276. Southgate, V.R. Schistosomiasis in the Senegal River Basin: Before and after the construction of the dams at Diama, Senegal and Manantali, Mali and future prospects. J. Helminthol. 1997, 71, 125–132. [Google Scholar] [CrossRef] [PubMed]
  277. Kloos, H. Water resources development and schistosomiasis ecology in the Awash Valley, Ethiopia. Soc. Sci. Med. 1985, 20, 609–625. [Google Scholar] [CrossRef] [PubMed]
  278. Tchuem Tchuente, L.A.; Southgate, V.R.; Njiokou, F.; Njine, T.; Kouemeni, L.E.; Jourdane, J. The evolution of schistosomiasis at Loum, Cameroon: Replacement of Schistosoma intercalatum by S. haematobium through introgressive hybridization. Trans. R. Soc. Trop. Med. Hyg. 1997, 91, 664–665. [Google Scholar] [CrossRef] [PubMed]
  279. Picquet, M.; Ernould, J.C.; Vercruysse, J.; Southgate, V.R.; Mbaye, A.; Sambou, B.; Niang, M.; Rollinson, D. Royal Society of Tropical Medicine and Hygiene meeting at Manson House, London, 18 May 1995. The epidemiology of human schistosomiasis in the Senegal river basin. Trans. R. Soc. Trop. Med. Hyg. 1996, 90, 340–346. [Google Scholar] [CrossRef] [PubMed]
  280. World Health Organization. Schistosomiasis. 22 November 2018. Available online: http://www.who.int/schistosomiasis/en/ (accessed on 25 December 2023).
  281. King, C.H.; Sutherland, L.J.; Bertsch, D. Systematic Review and Meta-analysis of the Impact of Chemical-Based Mollusciciding for Control of Schistosoma mansoni and S. haematobium Transmission. PLoS Negl. Trop. Dis. 2015, 9, e0004290. [Google Scholar] [CrossRef] [PubMed]
  282. Sokolow, S.H.; Wood, C.L.; Jones, I.J.; Swartz, S.J.; Lopez, M.; Hsieh, M.H.; Lafferty, K.D.; Kuris, A.M.; Rickards, C.; De Leo, G.A. Global Assessment of Schistosomiasis Control Over the Past Century Shows Targeting the Snail Intermediate Host Works Best. PLoS Negl. Trop. Dis. 2016, 10, e0004794. [Google Scholar] [CrossRef] [PubMed]
  283. Kariuki, H.C.; Madsen, H.; Ouma, J.H.; Butterworth, A.E.; Dunne, D.W.; Booth, M.; Kimani, G.; Mwatha, J.K.; Muchiri, E.; Vennervald, B.J. Long term study on the effect of mollusciciding with niclosamide in stream habitats on the transmission of schistosomiasis mansoni after community-based chemotherapy in Makueni District, Kenya. Parasit. Vectors 2013, 6, 107. [Google Scholar] [CrossRef] [PubMed]
  284. Allan, F.; Ame, S.M.; Tian-Bi, Y.T.; Hofkin, B.V.; Webster, B.L.; Diakite, N.R.; N’Goran, E.K.; Kabole, F.; Khamis, I.S.; Gouvras, A.N.; et al. Snail-Related Contributions from the Schistosomiasis Consortium for Operational Research and Evaluation Program Including Xenomonitoring, Focal Mollusciciding, Biological Control, and Modeling. Am. J. Trop. Med. Hyg. 2020, 103, 66–79. [Google Scholar] [CrossRef] [PubMed]
  285. Sene-Wade, M.; Marchand, B.; Rollinson, D.; Webster, B.L. Urogenital schistosomiasis and hybridization between Schistosoma haematobium and Schistosoma bovis in adults living in Richard-Toll, Senegal. Parasitology 2018, 145, 1723–1726. [Google Scholar] [CrossRef]
  286. Oleaga, A.; Rey, O.; Polack, B.; Grech-Angelini, S.; Quilichini, Y.; Perez-Sanchez, R.; Boireau, P.; Mulero, S.; Brunet, A.; Rognon, A.; et al. Epidemiological surveillance of schistosomiasis outbreak in Corsica (France): Are animal reservoir hosts implicated in local transmission? PLoS Negl. Trop. Dis. 2019, 13, e0007543. [Google Scholar] [CrossRef]
  287. Gautret, P.; Mockenhaupt, F.P.; von Sonnenburg, F.; Rothe, C.; Libman, M.; Van De Winkel, K.; Bottieau, E.; Grobusch, M.P.; Hamer, D.H.; Esposito, D.H.; et al. Local and International Implications of Schistosomiasis Acquired in Corsica, France. Emerg. Infect. Dis. 2015, 21, 1865–1868. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Panzner, U. Transmission Modelling for Human Non-Zoonotic Schistosomiasis Incorporating Vaccination: Guiding Decision- and Policymaking. Parasitologia 2024, 4, 101-128. https://doi.org/10.3390/parasitologia4020010

AMA Style

Panzner U. Transmission Modelling for Human Non-Zoonotic Schistosomiasis Incorporating Vaccination: Guiding Decision- and Policymaking. Parasitologia. 2024; 4(2):101-128. https://doi.org/10.3390/parasitologia4020010

Chicago/Turabian Style

Panzner, Ursula. 2024. "Transmission Modelling for Human Non-Zoonotic Schistosomiasis Incorporating Vaccination: Guiding Decision- and Policymaking" Parasitologia 4, no. 2: 101-128. https://doi.org/10.3390/parasitologia4020010

Article Metrics

Back to TopTop