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Review

Vectors on the Move: How Climate Change Fuels the Spread of Arboviruses in Europe

Pediatric Clinic, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
*
Author to whom correspondence should be addressed.
Microorganisms 2025, 13(9), 2034; https://doi.org/10.3390/microorganisms13092034
Submission received: 17 July 2025 / Revised: 20 August 2025 / Accepted: 28 August 2025 / Published: 30 August 2025

Abstract

Climate change is increasingly recognized as a major driver of emerging infectious diseases, particularly vector-borne diseases (VBDs), which are expanding in range and intensity worldwide. Europe, traditionally considered low-risk for many arboviral infections, is now experiencing autochthonous transmission of pathogens such as dengue, chikungunya, Zika virus, West Nile virus, malaria, and leishmaniasis. Rising temperatures, altered precipitation patterns, and milder winters have facilitated the establishment and spread of competent vectors, including Aedes, Anopheles, Phlebotomus, and Culex species, in previously non-endemic areas. These climatic shifts not only impact vector survival and distribution but also influence vector competence and pathogen development, ultimately increasing transmission potential. This narrative review explores the complex relationship between climate change and VBDs, with a particular focus on pediatric populations. It highlights how children may experience distinct clinical manifestations and complications, and how current data on pediatric burden remain limited for several emerging infections. Through an analysis of existing literature and reported outbreaks in Europe, this review underscores the urgent need for enhanced surveillance, integrated vector control strategies, and climate-adapted public health policies. Finally, it outlines research priorities to better anticipate and mitigate future disease emergence in the context of global warming. Understanding and addressing this evolving risk is essential to safeguard public health and to protect vulnerable populations, particularly children, in a rapidly changing climate.

1. Introduction

Climate change has emerged as one of the greatest global health threats of the 21st century. The World Health Organization (WHO) recognizes it as a critical risk factor for human health, with the potential to exacerbate both communicable and non-communicable diseases [1]. Recent decades have witnessed an alarming acceleration of global warming: by 2020, average global temperatures had increased by approximately 2.14 °C compared to the pre-industrial baseline (1880–1900), with the ten hottest years on record all occurring since 2005 [2]. This rise is largely attributed to anthropogenic activities such as fossil fuel combustion and deforestation [3]. Without significant reductions in greenhouse gas emissions, global temperatures are projected to rise by an additional 1.5 °C to 2 °C by the end of the century [3].
The impact of climate change extends far beyond temperature increases. It includes shifts in precipitation patterns, prolonged droughts, more frequent and severe heatwaves, and increased intensity of extreme weather events [4]. These environmental alterations have profound implications for infectious disease ecology, particularly in relation to vector-borne diseases (VBDs). VBDs are especially sensitive to climate variability because the life cycles of vectors, pathogens, and hosts are all climate-dependent [5].
In Europe, these changes have already begun to shift the epidemiology of VBDs. Warming temperatures and altered rainfall have facilitated the northward expansion of vectors such as Aedes spp. mosquitoes and Phlebotomus spp. sandflies [6]. This has increased the risk of local transmission of arboviral diseases such as dengue, chikungunya, and Zika. At the same time, climate change is influencing the epidemiology of VBDs that are already autochthonous in Europe, including leishmaniasis (transmitted by sandflies) and West Nile virus (transmitted by Culex mosquitoes) [6]. The introduction of these diseases into immunologically naïve populations—combined with variable public health preparedness—poses a growing challenge for surveillance, diagnosis, and control efforts.
Although several studies have explored the association between climate change and infectious diseases, most have focused on global or adult populations. There is still a lack of comprehensive overviews specifically addressing the emergence of VBDs in Europe and their potential impact on pediatric populations, who may be particularly vulnerable due to immunologic, developmental, or social factors. This narrative review aims to address these unmet needs by summarizing current evidence on how climate change is influencing the transmission and distribution of vector-borne diseases in Europe.

2. Methods

This narrative review was conducted to synthesize the current evidence on the impact of climate change on the emergence, transmission, and geographic spread of VBDs in Europe, with particular attention to pediatric implications. An electronic search was performed using the PubMed database, covering publications from 1 January 2010, to 30 June 2025. The search strategy combined terms related to vectors (e.g., “vector”, “mosquito”, “tick”, “sandfly”), pathogens (e.g., “virus”, “bacteria”, “parasite”), specific diseases (e.g., “West Nile”, “malaria”, “leishmania”, “dengue”, “zika”, “chikungunya”), and climate-related terms (e.g., “climate change”, “global warming”, “temperature”, “precipitation”), along with epidemiological and clinical keywords such as “infectious disease”, “pediatric”, and “child”. Boolean operators “AND” and “OR” were used to broaden and refine the search.
Only peer-reviewed articles written in English were considered. After the initial search, the reference lists of selected papers and reviews were manually screened to identify additional relevant publications not captured in the database search. Eligible articles included original research, systematic reviews, meta-analyses, surveillance reports, and clinical studies that addressed the relationship between climate variables and vector-borne diseases, with a particular focus on the European context. Studies focusing solely on non-European regions, non-peer-reviewed sources, commentaries, and editorials were excluded. Although our search strategy also included ticks as vectors, the present review was deliberately limited to arboviruses and selected parasitic diseases (e.g., malaria and leishmaniasis). Tick-borne infections, such as Lyme disease and tick-borne encephalitis, were not addressed in detail because they warrant a separate, dedicated review given their distinct epidemiology, ecology, and clinical spectrum.
Two reviewers independently (CI and DC) screened titles and abstracts for relevance. Full texts of potentially eligible studies were then assessed to determine inclusion. In cases of disagreement, consensus was reached through discussion or consultation with a third reviewer (GC). From each included study, data were extracted regarding the type of vector and pathogen, geographic region, relevant climate variables, evidence of correlation between climate and disease patterns, and pediatric outcomes when available.
The selected evidence was analyzed qualitatively and organized by disease type and climate-related drivers such as temperature changes, rainfall variability, or altered seasonality. This approach allowed for an integrated synthesis of findings from multiple disciplines, including epidemiology, climatology, entomology, and pediatric infectious diseases, in order to better understand the evolving threat of vector-borne diseases in the context of climate change in Europe.

3. Transmission Dynamics of Vector-Borne Diseases (VBDs)

VBDs represent a substantial global public health threat. Their transmission dynamics are intricately dependent on environmental factors, particularly climate variables such as temperature, humidity, and precipitation. Arthropod vectors—primarily mosquitoes, but also ticks and sandflies—serve as the main transmitters of VBDs. As ectothermic (cold-blooded) organisms, these vectors are especially sensitive to fluctuations in environmental temperatures and weather conditions, which influence their development, behavior, survival, and competence to transmit pathogens [5]. Table 1 summarizes the impact of climate change on VBDs.
All three components involved in disease transmission—vector, pathogen, and host—are highly responsive to climate variability. Numerous studies have demonstrated strong correlations between local climatic shifts and the incidence or prevalence of VBDs in affected regions [5]. In Europe, climate change has led to observable alterations in temperature and precipitation regimes, including an increased frequency and intensity of heatwaves, longer and warmer summers, and more irregular rainfall patterns, all of which significantly affect the transmission dynamics of VBDs [6].
Elevated temperatures alter not only the geographic distribution of vectors but also their developmental cycles, feeding behavior, and interactions with hosts and pathogens. Some pathogens may be lost from vectors in changing climates, while others may emerge or expand due to the enhanced suitability of environmental conditions [7]. Transmission typically occurs after vectors ingest pathogens during a blood meal from an infected host. These pathogens then replicate or circulate within the vector until it becomes infectious [8]. In the case of arboviruses, this internal replication phase is termed the extrinsic incubation period (EIP), which is highly temperature-dependent [8].
Vector competence—the intrinsic ability of a vector to acquire, maintain, and transmit a pathogen—is influenced by both genetic and environmental factors, particularly climate [9]. Because insects lack thermoregulation, their physiological functions are tightly linked to ambient temperatures, which must reach specific thresholds for essential biochemical processes to occur [10].
Viral replication within vectors is also temperature-sensitive. It begins above a minimum thermal threshold and increases with rising temperatures, up to an upper limit beyond which replication efficiency declines [11]. Experimental studies have shown that the EIP tends to decrease with increasing temperatures, accelerating pathogen transmission—although this relationship may reverse at extreme heat levels [12,13]. Additionally, fluctuating temperatures can indirectly influence disease transmission by affecting vector longevity, reproductive capacity, and host-seeking behavior, as well as by promoting insecticide resistance [14,15].
As temperatures rise, the geographic range and seasonal activity of key vectors such as mosquitoes and ticks have expanded. This has facilitated the emergence or re-emergence of diseases, including dengue, chikungunya, and malaria in regions previously unsuitable for their transmission [16,17,18]. Warmer winters and earlier springs have extended the active periods of vectors, thereby lengthening the transmission season [19,20].
Increased temperatures can also boost reproductive rates of vectors, leading to greater vector densities and consequently higher transmission risk [17]. Moreover, changes in precipitation patterns can modify breeding habitats; for example, heavy rains or irregular rainfall can result in the formation of stagnant water pools, ideal for mosquito oviposition [18].
Climate-induced shifts in the distribution of both vectors and pathogens can introduce diseases into immunologically naïve populations, potentially resulting in large-scale outbreaks [17]. Studies have shown that temperature fluctuations influence the behavior of the dengue virus by enhancing mosquito flight range, extending daily activity periods, and shortening the EIP, which collectively increase transmission efficiency [21]. Similarly, the increasing incidence of malaria has been linked to climate-related changes in rainfall and temperature, particularly in regions where the disease had previously been controlled or eradicated [22].
Table 2 shows the emerging VBDs in Europe.

4. Clinical Manifestations of the Most Frequent Vector-Borne Diseases (VBDs)

4.1. Dengue

Dengue is a febrile illness caused by four antigenically distinct but genetically related flaviviruses (DENV-1–4) transmitted by Aedes aegypti and Aedes albopictus mosquitoes [23,24]. Infection with one serotype confers lifelong immunity to that type but only transient cross-protection against others, with antibody-dependent enhancement increasing the risk of severe disease upon secondary infection [25]. Globally, most cases occur in the Asia-Pacific region (≈70%), followed by Africa (16%) and the Americas (14%) [26]. While DENV is not endemic in Europe, the presence of competent vectors poses a persistent risk of local outbreaks. Autochthonous cases have been documented in France and Italy, alongside numerous imported cases, including 185 in Italy in 2019 and 450 in 2024 (425 imported, 25 local), with no reported deaths [26,27,28]. The global incidence of dengue has risen sharply due to urbanization, globalization, poor sanitation, and increased mobility. WHO estimates ≈390 million annual infections across 128 countries, making dengue the fastest-spreading mosquito-borne viral disease, with 5–6 billion people projected at risk by 2050 [29,30].
Climate change is a significant concern in dengue epidemiology. Higher temperatures accelerate the mosquito life cycle and reduce the EIP, enhancing transmission potential [24,31]. The bidirectional transmission cycle between viremic humans and competent mosquitoes is sensitive to human mobility, urban density, and seasonal changes. During the COVID-19 pandemic, reductions in mobility led to marked declines in dengue incidence, highlighting the influence of human behavior on transmission dynamics [32].
Key factors contributing to DENV spread include increased vector density in rainy seasons, shortened EIP at elevated ambient temperatures, higher density of susceptible hosts, and prolonged human viremia [33]. The risk of infection increases by 13% for each 1 °C rise in temperature above the baseline [30,34,35,36]. Vector dispersal through human travel and global trade also contributes to the virus’s reach.
Dengue transmission follows two patterns: epidemic (sporadic introductions of single viral strains) and hyperendemic (co-circulation of multiple serotypes). Epidemic dengue typically affects both children and adults during localized outbreaks, often originating in seaports before WWII [25,33]. Hyperendemic dengue, found in densely populated tropical regions with continuous vector presence, is associated with higher seroprevalence in adults and a shift in symptomatic cases to the pediatric population [37,38,39,40].
DENV is transmitted primarily by Ae. aegypti, although Ae. albopictus can also serve as a competent vector, especially in temperate regions. Ae. albopictus is more tolerant of cold climates but less anthropophilic and less efficient in DENV transmission compared to Ae. aegypti [25,33,41,42,43,44]. Both species are also competent vectors for Zika and chikungunya viruses, enabling co-circulating outbreaks [45].
Clinically, dengue presents a wide range of manifestations. Up to 80% of infections are asymptomatic, while symptomatic cases typically manifest 4–10 days after the mosquito bite. Classic symptoms include high fever, retro-orbital pain, myalgia, arthralgia, rash, and gastrointestinal symptoms. Severe cases may evolve into DHF/DSS, characterized by plasma leakage, hemorrhagic manifestations, and potentially fatal hypovolemic shock. Mortality is under 1% with appropriate hospital management [46,47].
In children, symptoms are often nonspecific. Younger children may present with irritability rather than the classic retro-orbital pain or arthralgia. Prommalikit et al. reported higher frequencies of hepatomegaly, diarrhea, convulsions, and rash in children compared to adults [48]. Malavige et al. observed greater fluid loss in pediatric patients, while Jayarajah et al. linked gastrointestinal symptoms and leukopenia to DHF in children [49,50]. Rocha et al. noted age-specific hematologic changes, with younger children having higher hemoglobin levels, while older children showed anemia during symptomatic phases [51].
There are no specific antivirals for dengue. Management focuses on supportive care, fluid balance, and antipyretics (paracetamol preferred). Recovery confers serotype-specific lifelong immunity, but reinfection with a different serotype increases the risk of severe disease [52].
Two dengue vaccines have been approved. CYD-TDV (Dengvaxia) is a live attenuated tetravalent vaccine recommended only for individuals with confirmed prior dengue infection, due to the risk of severe disease upon first infection post-vaccination in DENV-naïve individuals [53,54,55,56]. TAK-003 (Qdenga) is another tetravalent vaccine approved in multiple countries, including the EU (≥4 years of age), Brazil, Thailand, and Indonesia [56,57].

4.2. Chikungunya

Chikungunya virus (CHIKV) is an arthropod-borne RNA virus of the genus Alphavirus (family Togaviridae), first isolated in Tanzania in 1953 [58]. It is transmitted mainly by Aedes aegypti and Ae. albopictus, with non-human primates serving as reservoirs, while humans can act as amplifying hosts during outbreaks [59,60]. CHIKV is endemic in tropical and subtropical regions of Africa and Southeast Asia [61] and has diverged into two major lineages: West African, associated with enzootic cycles and limited outbreaks, and East/Central/Southern African (ECSA), which has spread widely and gave rise to the Asian genotype [62,63].
Historically transmitted by Ae. aegypti, CHIKV has expanded its range through viral adaptations—particularly the E1-A226V mutation—that enhanced replication in Ae. albopictus, a vector tolerant of temperate climates. This shift has facilitated outbreaks beyond the tropics, including in continental Europe [64,65,66].
The first autochthonous European outbreak occurred in 2007 in Ravenna, Italy, following the introduction of the virus by a viremic traveler returning from India [67]. Subsequent local transmission events were reported in southern France in 2010, where two children with no travel history became infected, implicating Ae. albopictus as the vector [68,69]. Climatic projections suggest that environmental suitability for Ae. albopictus in Europe will continue to expand due to ongoing climate change [70,71]. Further local outbreaks occurred in Italy’s Lazio and Calabria regions during the summer of 2017, while in the Americas, CHIKV spread rapidly after 2013, reaching the Caribbean, South America, and parts of the southern United States [72].
Fisher et al. highlighted the importance of understanding the EIP—the time from viral ingestion by the mosquito to transmission capability—as a key parameter in modeling transmission risk. While temperature-dependent EIP estimates for DENV are well-characterized and mapped across Europe, equivalent experimental data for CHIKV remain limited [69]. Although there is growing consensus on the sensitivity of VBDs to climate change, few predictive studies have modeled future spatiotemporal CHIKV dynamics under European climate change scenarios [69].
CHIKV infection typically manifests as an acute febrile illness with rash and severe polyarthralgia. Although the clinical picture can resemble dengue fever, recurrent and prolonged musculoskeletal symptoms—predominantly involving peripheral joints—are a hallmark of chikungunya and can persist for months or even years post-infection [61]. While most cases are self-limiting, increasingly severe clinical presentations have been observed in recent years, including neurological complications, fulminant hepatitis, and neonatal encephalopathy [61].
In pediatric populations, symptomatic CHIKV infections are mainly reported in children over two years of age [73]. The clinical phenotype commonly includes fever, rash, and arthralgia, with gastrointestinal and neurological symptoms also noted. Although children generally experience milder courses than adults, they may be more prone to prolonged joint symptoms or febrile seizures, both of which can adversely affect quality of life [74]. Furthermore, congenital and perinatal infections have been documented since 2005 in neonates born to viremic mothers. These cases have exhibited severe manifestations such as dehydration, cardiac anomalies, seizures, neurologic sequelae, and, in rare cases, mortality [73].
Children may be disproportionately affected by climate-driven changes in vector distribution due to their heightened vulnerability to severe disease forms and complications [74]. Therefore, pediatric surveillance is essential in understanding and mitigating the full clinical impact of CHIKV in the context of a changing environment.
At present, the most effective strategy for preventing local transmission in Europe is rigorous syndromic, clinical, and laboratory-based surveillance, especially targeting viremic individuals returning from endemic areas. In regions where Ae. albopictus is established, such measures are critical to avert autochthonous outbreaks and reduce vector-human transmission cycles [75].

4.3. Zika

Zika virus disease is a mosquito-borne illness caused by Zika virus (ZIKV), a positive-sense, single-stranded RNA virus belonging to the genus Flavivirus, family Flaviviridae, within the Spondweni serocomplex. It was first identified in 1947 in a rhesus monkey in the Zika forest of Uganda, later in Ae. africanus mosquitoes in 1948, and in humans in Nigeria in 1952 [74]. ZIKV is phylogenetically and antigenically related to other flaviviruses such as DENV, yellow fever virus, Japanese encephalitis virus, and West Nile virus. Two major phylogenetic lineages have been described: the African lineage and the Asian lineage, the latter of which has emerged in the Pacific and subsequently the Americas [76,77].
ZIKV distribution prior to 2007 was largely confined to equatorial Africa and parts of Southeast Asia. Its known presence was based primarily on serological evidence and virus isolation in mosquitoes and humans. The first documented outbreak outside these regions occurred on Yap Island, Federated States of Micronesia, in 2007 [77]. Between 2013 and 2015, the virus caused outbreaks across the Pacific Islands, most notably in French Polynesia. In 2015, it emerged in South America, leading to a large epidemic in Brazil, with an estimated 1.3 million infections and subsequent spread across the Americas [78,79,80,81,82]. In Italy, 12 imported cases of ZIKV infection were reported in 2016 [83]. No pediatric data are currently available for the Italian population.
Following the 2015–2017 epidemic, no major outbreaks have been reported. Predicting future outbreaks remains challenging due to factors including under-reporting of asymptomatic cases, cross-immunity from other flaviviruses, and incomplete understanding of the duration of post-infection immunity, which appears to be protective but may wane over time [84].
The primary vectors of ZIKV are Aedes mosquitoes, especially Ae. aegypti, which exhibit a strong anthropophilic behavior and are well adapted to urban habitats. These mosquitoes tolerate higher temperatures than Anopheles spp., implying that climate change may favor their wider distribution. Projections suggest that by 2080, over one billion more people—primarily in North America and Europe—could be exposed to Aedes-borne arboviruses, including ZIKV, due to rising global temperatures and urbanization [85].
Although Ae. aegypti is the principal vector, several other Aedes species, such as Ae. albopictus, Ae. africanus, Ae. hensilli, Ae. polynesiensis, Ae. unilineatus, and Ae. vittatus, have shown potential vector competence either experimentally or in the field [76,77]. Apart from vector-borne transmission, ZIKV can be transmitted vertically from mother to fetus via transplacental infection, intrapartum during delivery, through sexual contact, and via transfusion of infected blood products or organ transplantation [76,77,86].
After a bite from an infected mosquito, the EIP typically ranges from 3 to 12 days. Most ZIKV infections (approximately 80%) are asymptomatic. When symptomatic, the disease is typically self-limiting, lasting 2 to 7 days. Clinical manifestations are generally mild and include low-grade fever, maculopapular rash (often beginning on the face), conjunctival injection (non-purulent), arthralgia, myalgia, fatigue, and headache. Retro-orbital pain and mild gastrointestinal symptoms may also occur in some cases [87]. Given the overlapping symptomatology, differential diagnosis includes dengue, chikungunya, measles, rubella, parvovirus B19, enteroviruses, and malaria. Co-infection with DENV or CHIKV may also occur in endemic areas [87,88].
A significant concern regarding ZIKV is its teratogenic potential. During the Brazilian outbreak in 2016–2017, an increase in congenital abnormalities was observed, leading to the identification of congenital Zika syndrome (CZS). CZS includes severe microcephaly, craniofacial disproportion, brain calcifications, ventriculomegaly, cortical atrophy, congenital contractures (e.g., arthrogryposis), visual and auditory deficits, epilepsy, and dysphagia [89]. Although not all infants born to ZIKV-infected mothers develop abnormalities, some children without overt microcephaly at birth demonstrated cognitive delays, suggesting the potential for neurodevelopmental effects beyond structural defects [89].
Diagnosis of ZIKV infection relies on molecular methods such as reverse transcription-polymerase chain reaction (RT-PCR) to detect viral RNA in clinical specimens. Viremia is typically detectable in serum and saliva during the first 3–7 days after symptom onset and in urine for up to 2–3 weeks. Viral RNA can also be detected in semen for up to 62 days or more, underscoring the potential for sexual transmission [90,91,92].
Preventive measures primarily aim to reduce vector exposure. Personal protection includes the use of repellents, long-sleeved clothing, insecticide-treated nets, and avoidance of mosquito-infested areas during peak biting times, which for Aedes species typically occur during daylight hours and twilight [93,94]. Vector control strategies emphasize eliminating mosquito breeding sites, especially artificial containers with stagnant water near human dwellings [44,95,96].
People returning from Zika-endemic regions are advised to continue mosquito bite precautions for at least three weeks after travel, to minimize the risk of local transmission if they become viremic. During the first week of illness, infected individuals should strictly avoid further mosquito exposure to prevent the onward transmission of the virus to local vectors [93,95].

4.4. Malaria

Malaria is caused by protozoa of the genus Plasmodium, with five species infecting humans (P. falciparum, P. vivax, P. ovale, P. malariae, and P. knowlesi), transmitted by female Anopheles mosquitoes [97]. P. falciparum is responsible for the most severe and often fatal cases, accounting for ~90% of the global burden, especially in sub-Saharan Africa [98].
In Europe, P. vivax was historically the predominant species, particularly in temperate areas. Extensive control measures, including marshland drainage and dichlorodiphenyltrichloroethane (DDT) use after World War II, eliminated endemic malaria, and the WHO declared the region malaria-free in 2015. Between 2000 and 2022, no malaria-related deaths were reported in Europe [99].
Globally, however, malaria remains a major public health challenge. According to WHO data, in 2023, an estimated 249 million malaria cases occurred across 85 endemic countries, marking an increase of 5 million cases compared to 2021. Although malaria cases had declined between 2000 and 2015, trends have reversed in recent years. The African Region remains the most affected, accounting for more than 95% of global cases, followed by Southeast Asia and the Eastern Mediterranean (2% each). The Americas and Western Pacific contribute the remaining burden [99].
Pediatric data on malaria are limited, particularly outside endemic regions. A study conducted in Côte d’Ivoire by Kouakou et al. assessed malaria distribution among children under five and pregnant women across different climatic zones. They found that malaria risk was significantly higher in humid tropical regions, with vulnerability influenced by environmental exposure and socio-demographic factors [100].
Key determinants of malaria transmission include the density and longevity of female Anopheles mosquitoes and their biting behavior (endophagic vs. exophagic) [101]. Adequate rainfall is necessary to form stable breeding sites, and ambient temperatures must support the parasite’s development within the vector. P. vivax requires temperatures of at least 15–16 °C, while P. falciparum requires 19–20 °C for sporogony within the mosquito to complete [102,103]. Thus, warm, humid environments with sufficient rainfall are optimal for both vector survival and parasite replication [104,105].
Rainfall, when moderate, provides breeding habitats for mosquitoes, but excessive precipitation can wash away larvae and reduce vector populations [106,107,108]. Similarly, temperature influences both the mosquito’s reproductive cycle and the sporogonic development of Plasmodium species within the vector [109].
The typical incubation period for malaria ranges from 7 to 21 days, though latency can be prolonged in semi-immune individuals or in infections by hypnozoite-forming species like P. vivax and P. ovale. A national reference center reported that 97% of imported malaria cases manifest within three months of return from endemic areas [110,111].
Initial symptoms include fever (in over 90% of cases), often accompanied by gastrointestinal (diarrhea, vomiting), neurological (headache, seizures), respiratory (cough), or renal (proteinuria) signs. Anemia, usually moderate, may also occur. Clinical findings are frequently nonspecific, with rare splenomegaly. Reassessment is important to detect progression to severe malaria or concomitant bacterial infections [110].
While the clinical picture of uncomplicated malaria is similar across Plasmodium species, some distinctions exist. P. malariae often causes milder symptoms, while P. vivax is linked to anemia and severe thrombocytopenia, particularly in children. Latency due to dormant liver-stage hypnozoites may lead to delayed symptom onset—up to four years in some P. vivax and P. ovale infections. P. malariae, although not forming hypnozoites, can persist in the bloodstream for years without symptoms before reactivation [110].
Congenital malaria is rare in non-endemic regions. In France, only 1 to 5 cases are reported annually. It typically results from maternal exposure to endemic areas and presents either as asymptomatic parasitemia or with signs like fever and jaundice in the first weeks of life [112].
Hyperreactive malarial splenomegaly (HMS), most often observed in children aged 2–5 years from unstable malaria regions, is characterized by chronic health decline, massive splenomegaly, moderate fever, and severe anemia, despite low or undetectable parasitemia. Polymerase chain reaction (PCR) or serologic tests are often needed for diagnosis [113].
Climate change is increasingly recognized as a major driver of malaria epidemiology. Studies using mathematical and geospatial models have projected shifts in transmission intensity and geographic distribution under future climate scenarios. Ayanlade et al. analyzed NOAA satellite data from 2000 to 2017 across six Nigerian ecological zones and identified precipitation as the most influential climatic factor. Malaria prevalence was higher in the wetter southern zones compared to drier northern regions. Non-climatic factors, such as irrigation, agriculture, migration, and urbanization, were also significant contributors to malaria transmission [114].
The Liverpool Malaria Model (LMM), developed by Hoshen and Morse in 2004, is a weather-driven simulation tool that predicts malaria transmission using daily mean temperatures and 10-day accumulated precipitation. It was later refined by Ermert et al. and applied to simulate malaria risk under various past and future climate conditions [115,116].
Diouf et al. applied the LMM to West Africa and demonstrated that rainfall and temperature variability drive seasonal malaria transmission peaks, with intense outbreaks linked to heavy rainfall events [117,118]. These models collectively indicate that by 2050, malaria distribution will shift toward higher altitudes and latitudes in response to warming climates and changing precipitation patterns.
Although climate change may increase the environmental suitability for malaria in regions like Europe, temperate Asia, and parts of North America, large-scale outbreaks are unlikely due to strong public health infrastructure, access to diagnostics and antimalarial therapies, and socio-economic resilience [119]. Nonetheless, malaria control programs must integrate climate modeling and surveillance to anticipate shifts in endemicity and adapt interventions accordingly.

4.5. Leishmaniasis

Leishmaniasis is a neglected tropical disease caused by protozoa of the genus Leishmania (family Trypanosomatidae), transmitted mainly by infected female sandflies—Phlebotomus spp. in the Old World and Lutzomyia spp. in the Americas [120]. Rare non-vector routes include transfusion, transplantation, and vertical transmission [120,121]. The disease occurs in three forms: cutaneous (CL), visceral (VL), and mucocutaneous (MCL), with distinct epidemiological profiles [120]. Risk is strongly linked to poverty, malnutrition, displacement, poor housing, and immunosuppression. Globally, 700,000–1 million new cases are reported annually, with CL and VL both endemic in parts of the WHO European Region and frequent imported cases [122].
In the EU, zoonotic CL and VL are usually due to L. infantum in the Mediterranean, while anthroponotic CL (L. tropica) occurs sporadically in Greece and nearby areas [123]. About 95% of CL cases arise in the Americas, Mediterranean, Middle East, and Central Asia, with ~70% concentrated in the Eastern Mediterranean, especially Iraq and Syria [124]. Conflict in Syria since 2013 has fueled major CL outbreaks and spread to neighboring countries, with refugee populations facilitating new transmission dynamics in Turkey, Lebanon, and Jordan [125,126,127,128].
Climate change has also been recognized as a major factor influencing the ecology and epidemiology of leishmaniasis. Rising temperatures and changes in humidity directly affect the development of Leishmania parasites within sandfly vectors, and indirectly impact the distribution and population density of the sandfly species themselves. For example, Ghatee et al. reported that the population density of P. papatasi, a vector of L. major, increases with arid conditions, suggesting a link between sandfly abundance and climate warming [125].
Temperature and humidity variations alter vector survival, reproductive cycles, and biting behavior. A study by Waitz et al. showed that sandfly population dynamics are strongly correlated with ambient temperatures, particularly with the mean temperature over the two weeks prior to collection, indicating a shortened lifecycle under higher temperatures [129,130]. For P. papatasi, both extremely high temperatures and very cold conditions limit activity; in addition, temperature modulates feeding frequency and vector competence [123,131].
Boussaa et al., in a study from Marrakech, Morocco, found that the optimal temperature range for P. papatasi activity lies between 32 and 36 °C, with peaks observed during the wetter months of the dry season (May and November) [132]. According to Ready, climate more strongly affects the distribution of cold-blooded sandfly vectors than the disease itself [133]. Nevertheless, climatic shifts, especially warming, have facilitated the expansion of sandflies to previously non-endemic areas, including higher altitudes such as the Atlas Mountains in Morocco, as observed by Guernaoui et al. [134].
In contrast, a cross-sectional study by Martin-Sánchez et al. in southern Spain (Alpujarras) suggested that temperature increases might influence transmission more than vector density, due to enhanced biting frequency and shortened parasite incubation periods within the vector [135,136]. These observations align with broader evidence indicating that the geographical distribution of Phlebotomus vectors in the Mediterranean is shifting in response to climate change [137].
Further evidence comes from a 2019 study by Erguler et al., who modeled sandfly population dynamics across Turkey, Cyprus, and Greece. Their findings underscored the significant role of land use changes and environmental modifications, such as irrigation and urbanization, in vector spread and habitat suitability [138].
Although the following descriptions are based on adult patients due to a lack of pediatric-specific data, it is known that the clinical manifestations of leishmaniasis vary with disease form and host characteristics. In CL, ulcerative skin lesions develop at the bite site weeks to months post-infection. While these may resolve spontaneously, they often leave disfiguring scars. In children, lesions may be more extensive and severe compared to adults [122].
VL is characterized by persistent fever, hepatosplenomegaly, anemia, leukopenia, and significant weight loss. Pediatric VL tends to present with more acute onset and severe clinical manifestations compared to adults, including rapid deterioration and higher risk of complications [139]. MCL, though rare, leads to destructive lesions in the nasal and oral mucosa, potentially resulting in serious deformities and respiratory obstruction. In children, these manifestations are less common but may be more difficult to manage when they occur [122].
The varied clinical spectrum highlights the importance of early diagnosis and individualized treatment based on disease form, patient age, and immune status. Preventive strategies remain centered on vector control and personal protection in endemic areas. Leishmaniasis continues to pose a major public health concern, exacerbated by environmental, climatic, and socio-political factors that influence its distribution and persistence across regions [140].

4.6. West Nile Virus

West Nile virus (WNV) is a climate-sensitive, multi-vector, multi-host arbovirus belonging to the family Flaviviridae [141,142]. It was first identified in 1937 in the West Nile district of Uganda, from which it derives its name [143]. The virus is primarily transmitted to humans through the bite of infected mosquitoes belonging to the genus Culex, especially Culex pipiens, Cx. quinquefasciatus, and Cx. tarsalis [142,144]. Birds, especially species such as egrets and herons, are the primary amplifying hosts, while humans and horses are considered incidental or “dead-end” hosts due to their low-level viremia, which is insufficient to sustain the transmission cycle [144,145].
WNV is part of the Japanese encephalitis serocomplex and is genetically classified into at least nine lineages. However, only lineages 1 and 2 are associated with human disease. Lineage 1 (L1) includes sublineage 1A, the most virulent strain for humans, which circulates in Europe, the Middle East, Africa, West Asia, and North America. Sublineage 1B is found in Oceania and is rarely neuroinvasive. Lineage 2 (L2) has historically circulated in sub-Saharan Africa and Madagascar but has been increasingly reported in Europe in recent decades [142].
WNV displays marked seasonality. The virus is amplified among bird populations during the spring and early summer and then spills over into humans during mid- to late summer, when mosquito densities peak [146]. Culex pipiens, the primary urban vector, reproduces in stagnant water sources enriched by organic matter. Drought conditions have been associated with increased transmission risk, as they concentrate organic material in breeding sites, reduce mosquito predators such as frogs and dragonflies, and increase bird aggregation around limited water resources, facilitating viral amplification [147].
In Europe, climatic anomalies have been identified as key drivers of WNV outbreaks and geographical expansion. In Italy, WNV was first identified in horses in 1998 and later in humans in 2008 [145]. Since then, southern European countries have reported a progressive increase in human cases, with surges corresponding to heatwaves and elevated temperatures [145,148]. In Romania, a major outbreak occurred in 1996, while other countries, such as Greece, Hungary, and Serbia, have reported increasing activity following the establishment of lineage 2 in the region. The 2018 season saw an unprecedented spike in cases, attributed to prolonged heat, ecological degradation from wildfires, and favorable environmental conditions [149,150].
The ongoing warming trend has extended the mosquito breeding season, reduced the extrinsic incubation period of the virus, and facilitated faster amplification among vectors and bird reservoirs [148]. Climate change has also influenced bird migration patterns, with a tendency for longer stops in more northerly regions, potentially introducing WNV into new territories [151]. A notable example is the 2020 detection of WNV in the Netherlands, a non-endemic country until then, highlighting the northward shift in the virus in Europe due to rising temperatures [5,141,142,148].
Clinically, approximately 80% of WNV infections are asymptomatic. In symptomatic cases, after an incubation period of 2 to 15 days, patients may present with nonspecific flu-like symptoms, including fever, headache, myalgia, nausea, and fatigue. Other features may include maculopapular or morbilliform rash, lymphadenopathy, conjunctival injection, vomiting, and, more rarely, orchitis [142]. In about 1 out of every 150 cases, the infection progresses to West Nile neuroinvasive disease (WNVND), which manifests as meningitis, encephalitis, or acute flaccid paralysis. These severe forms can result in long-term neurological sequelae or death, particularly among elderly, immunocompromised, or otherwise vulnerable individuals [142,152].
In children, the disease is usually mild and self-limiting. Nonetheless, some pediatric cases of WNVND with long-term sequelae or fatal outcomes have been documented, although children represent only about 5% of reported cases. The low rate could reflect underdiagnosis due to nonspecific symptoms or lower clinical suspicion [153,154]. Data in pediatric populations are mainly derived from surveillance in the United States, with fewer European studies available. Regardless of age, no specific antiviral treatment exists, and management remains supportive [155].
Preventive efforts focus on mosquito vector control and personal protection. While equine vaccines are available and widely used, no licensed human vaccine exists. Human vaccine candidates remain under investigation, with none beyond phase I or II trials [142]. Public health strategies rely on larviciding, the use of insecticides, reduction in mosquito breeding habitats, and environmental interventions. Simple measures such as eliminating standing water in containers and improving urban sanitation have been recommended. Notably, higher temperatures may favor viral evolution, promoting the emergence of immune-evading WNV strains, further stressing the importance of proactive surveillance and climate-sensitive vector control programs [144].

4.7. Other Arboviruses

Climate change is expected to influence the distribution and emergence of several lesser-known arboviruses of public health concern, including Usutu virus (USUV), Toscana virus (TOSV), and Sindbis virus (SINV), which are increasingly detected in Europe and neighboring regions [141].
Usutu virus, a Flavivirus closely related to WNV, is primarily transmitted by Culex mosquitoes and maintained in an enzootic cycle between birds and vectors. Similarly to WNV, humans are considered incidental hosts. While most infections are asymptomatic or mild, USUV has been associated with neuroinvasive disease, particularly in immunocompromised individuals [141]. Over the past two decades, USUV has spread across central and southern Europe, often detected in birds and mosquitoes before human cases are recognized, underscoring the importance of One Health–based surveillance.
Toscana virus, a Phlebovirus transmitted by Phlebotomus sandflies, is endemic in Mediterranean countries. It is one of the leading viral causes of meningitis and meningoencephalitis in southern Europe during summer, when vector activity peaks [141]. Despite its recognized burden, TOSV remains underdiagnosed due to limited awareness and diagnostic availability outside endemic regions. Climate-driven expansions of sandfly habitats may increase the incidence of TOSV infections in temperate Europe.
Sindbis virus, an Alphavirus transmitted by Culex mosquitoes, circulates in enzootic cycles involving birds and has caused human outbreaks in northern Europe, particularly in Finland and Sweden. SINV infection, also known as “Pogosta disease,” typically manifests as febrile illness with rash and arthralgia, sometimes persisting for months [142]. Although historically restricted to northern latitudes, warmer conditions and shifts in bird migration routes could facilitate wider geographic spread.
Taken together, these arboviruses illustrate how climate change, by altering vector distribution, migration of avian reservoirs, and seasonal activity, may increase the risk of spillover into human populations. Although currently less widespread than DENV or WNV, their growing detection in Europe signals an urgent need for strengthened surveillance, improved diagnostics, and integration into public health preparedness plans. Early recognition will be essential to prevent underestimation of their true burden in a changing climate [141,142].

5. Pediatric Considerations and Data Gaps

Children represent a particularly vulnerable group in the context of climate-sensitive VBD. Across the infections discussed in this review, pediatric patients often show distinctive clinical manifestations and may experience more severe complications compared to adults. For dengue, children frequently present with nonspecific symptoms such as irritability, diarrhea, and convulsions, alongside higher risks of plasma leakage and severe disease progression [48,49,50,51]. Chikungunya in children may include prolonged joint symptoms, febrile seizures, and, in the case of congenital or perinatal infections, severe systemic complications [73,74]. Zika virus poses unique risks to children through congenital Zika syndrome, with long-term neurodevelopmental impairments beyond structural birth defects [84,89]. Malaria in children is associated with rapid progression to severe anemia, splenomegaly, and neurological complications [100,110,111,112,113], while pediatric visceral leishmaniasis tends to present more acutely and with higher complication rates than in adults [122,139]. Although WNV is usually mild in children, rare cases of neuroinvasive disease with long-term sequelae have been documented [153,154].
Despite these observations, substantial data gaps persist regarding the pediatric burden of many arboviral and parasitic infections in Europe. Most available evidence comes from adult populations or small pediatric cohorts, limiting the ability to accurately estimate incidence, severity, and outcomes in children [5,6,141]. This underlines the importance of strengthened surveillance systems that systematically disaggregate data by age group and integrate child-specific outcomes. Enhanced pediatric surveillance would not only clarify disease impact but also serve as an early warning indicator of shifting epidemiological patterns under climate change.
It is also important to emphasize that climate change may disproportionately affect children beyond pathogen-specific risks. Increased outdoor exposure, limited use of protective measures, immature immune responses, and higher vulnerability to dehydration during febrile illness place children at elevated risk [48,73,84]. Social and environmental factors—including displacement, poor housing, and limited healthcare access—further amplify these vulnerabilities, particularly in the aftermath of heatwaves, floods, or other climate-related events [84,125,126,127,128].
In this context, the focus on pediatric implications represents an epidemiologically valuable contribution. By integrating child-centered perspectives into surveillance, predictive models, and public health planning, the scientific and medical community can better anticipate emerging threats and design interventions that protect the youngest and most vulnerable in a changing climate.

6. Conclusions

Climate change is increasingly recognized as one of the most pressing global threats, with profound implications not only for environmental stability but also for human health. The acceleration of global warming observed in recent decades has created ecological conditions that are highly conducive to the emergence, re-emergence, and spread of infectious diseases, particularly those transmitted by arthropod vectors. Arboviruses and other VBDs have shown a concerning tendency to expand into previously non-endemic areas, driven by rising temperatures, altered precipitation patterns, and the increased movement of vectors and hosts.
Climatic factors significantly modulate the biology, survival, and distribution of vectors, as well as the replication and transmission efficiency of the pathogens they carry. Temperature fluctuations, for instance, influence the biting behavior and reproductive cycles of vectors, reduce the extrinsic incubation period of viruses, and alter the overall vectorial capacity, thereby increasing the risk of sustained local transmission. In Europe, including Italy, climate-induced shifts in environmental parameters have been associated with a growing number of autochthonous cases of diseases such as dengue, chikungunya, West Nile virus, leishmaniasis, and malaria, underscoring the urgent need for tailored public health responses.
To mitigate these risks and anticipate future challenges, further research is essential. High-resolution predictive models that integrate climate, ecological, and epidemiological data are needed to improve forecasting and early warning systems. Longitudinal studies should investigate how climate change influences vector competence and pathogen evolution, particularly in relation to changes in extrinsic incubation periods and geographic distribution. Expanding epidemiological data for pediatric populations, currently underrepresented in many studies, is also a priority, especially for emerging arboviruses. Furthermore, evaluating the effectiveness of vector control strategies in diverse environmental contexts and understanding socio-environmental determinants such as urbanization, land use, and migration patterns will enhance targeted interventions. Public health preparedness must also be strengthened by incorporating climate projections into national health policies and disease prevention frameworks. Finally, continuous genomic surveillance of emerging viruses will be critical to detect new variants, monitor viral evolution, and assess the potential for vaccine and treatment resistance.
In light of these considerations, the interconnection between climate change and emerging infections demands a multidisciplinary, collaborative, and globally coordinated approach. It is not only a scientific and medical challenge but also a societal and ethical imperative to ensure the protection of human health—particularly for vulnerable populations—in an increasingly unstable climate. Only through sustained investment in research, surveillance, and evidence-based public health action can we hope to meet this challenge and secure a safer future for the generations to come.

Author Contributions

G.C. and G.B. co-wrote the first draft of the manuscript; C.I. and D.C. performed the literature review; S.E. supervised the project, revised the manuscript, and gave a substantial scientific contribution. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by “EU funding within the NextGenerationEU-MUR M4C2.I.1.3PNRR Extended Partnership initiative on Emerging Infectious Diseases (PE00000007, INF-ACT) “One Health Basic and Translational Research Actions addressing Unmet Needs on Emerging Infectious Diseases” through the INF-ACT Cascade Open Call 2023 (COC-1- 2023-ISS-01)—CUP I83C22001810007”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Caminade, C.; McIntyre, K.M.; Jones, A.E. Impact of recent and future climate change on vector-borne diseases. Ann. N. Y. Acad. Sci. 2019, 1436, 157–173. [Google Scholar] [CrossRef]
  2. National Centers for Environmental Information (NCEI). Annual 2020 Global Climate Report. Available online: https://www.ncei.noaa.gov/access/monitoring/monthly-report/global/202013 (accessed on 2 July 2024).
  3. Intergovernmental Panel on Climate Change (IPCC). Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 2013; Available online: https://www.ipcc.ch/report/ar5/wg1/ (accessed on 2 July 2024).
  4. Snyder, C.W. Evolution of global temperature over the past two million years. Nature 2016, 538, 226–228. [Google Scholar] [CrossRef]
  5. Thomson, M.C.; Stanberry, L.R. Climate Change and Vectorborne Diseases. N. Engl. J. Med. 2022, 387, 1969–1978. [Google Scholar] [CrossRef] [PubMed]
  6. Semenza, J.C.; Paz, S. Climate change and infectious disease in Europe: Impact, projection and adaptation. Lancet Reg. Health Eur. 2021, 9, 100230. [Google Scholar] [CrossRef] [PubMed]
  7. Casadevall, A. Climate change brings the specter of new infectious diseases. J. Clin. Investig. 2020, 130, 553–555. [Google Scholar] [CrossRef]
  8. Watts, D.M.; Burke, D.S.; Harrison, B.A.; Whitmire, R.E.; Nisalak, A. Effect of temperature on the vector efficiency of Aedes aegypti for dengue 2 virus. Am. J. Trop. Med. Hyg. 1987, 36, 143–152. [Google Scholar] [CrossRef] [PubMed]
  9. Severson, D.W.; Behura, S.K. Genome Investigations of Vector Competence in Aedes aegypti to Inform Novel Arbovirus Disease Control Approaches. Insects 2016, 7, 58. [Google Scholar] [CrossRef]
  10. Dohm, D.J.; O’Guinn, M.L.; Turell, M.J. Effect of environmental temperature on the ability of Culex pipiens (Diptera: Culicidae) to transmit West Nile virus. J. Med. Entomol. 2002, 39, 221–225. [Google Scholar] [CrossRef]
  11. Reisen, W.K.; Meyer, R.P.; Presser, S.B.; Hardy, J.L. Effect of temperature on the transmission of western equine encephalomyelitis and St. Louis encephalitis viruses by Culex tarsalis (Diptera: Culicidae). J. Med. Entomol. 1993, 30, 151–160. [Google Scholar] [CrossRef]
  12. Turell, M.J.; Rossi, C.A.; Bailey, C.L. Effect of extrinsic incubation temperature on the ability of Aedes taeniorhynchus and Culex pipiens to transmit Rift Valley fever virus. Am. J. Trop. Med. Hyg. 1985, 34, 1211–1218. [Google Scholar] [CrossRef]
  13. Turell, M.J.; Beaman, J.R.; Tammariello, R.F. Susceptibility of selected strains of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) to chikungunya virus. J. Med. Entomol. 1992, 29, 49–53. [Google Scholar] [CrossRef]
  14. Goindin, D.; Delannay, C.; Ramdini, C.; Gustave, J.; Fouque, F. Parity and longevity of Aedes aegypti according to temperatures in controlled conditions and consequences on dengue transmission risks. PLoS ONE 2015, 10, e0135489. [Google Scholar] [CrossRef] [PubMed]
  15. Oliver, S.V.; Brooke, B.D. The effect of elevated temperatures on the life history and insecticide resistance phenotype of the major malaria vector Anopheles arabiensis (Diptera: Culicidae). Malar. J. 2017, 16, 73. [Google Scholar] [CrossRef]
  16. Dai, Z.; Chen, Y.; Jiang, Y.; Wu, Y.; Jin, B.; Xu, Y.; Xu, J.; Tao, F.; Hu, X. Global Assessment of current and future chikungunya virus transmission risk using optimized maxent modeling. Acta Trop. 2025, 269, 107756. [Google Scholar] [CrossRef]
  17. Wilder-Smith, A.; Gubler, D.J. Geographic expansion of dengue: The impact of international travel. Med. Clin. N. Am. 2008, 92, 1377-x. [Google Scholar] [CrossRef]
  18. Semenza, J.C.; Suk, J.E. Vector-borne diseases and climate change: A European perspective. FEMS Microbiol. Lett. 2018, 365, fnx244. [Google Scholar] [CrossRef]
  19. Parham, P.E.; Waldock, J.; Christophides, G.K.; Michael, E. Climate change and vector-borne diseases of humans. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2015, 370, 20140377. [Google Scholar] [CrossRef] [PubMed]
  20. Hoberg, E.P.; Brooks, D.R. Evolution in action: Climate change, biodiversity dynamics and emerging infectious disease. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2015, 370, 20130553. [Google Scholar] [CrossRef]
  21. Hii, Y.L.; Zaki, R.A.; Aghamohammadi, N.; Rocklöv, J. Research on Climate and Dengue in Malaysia: A Systematic Review. Curr. Environ. Health Rep. 2016, 3, 81–90. [Google Scholar] [CrossRef]
  22. Wu, X.; Lu, Y.; Zhou, S.; Chen, L.; Xu, B. Impact of climate change on human infectious diseases: Empirical evidence and human adaptation. Environ. Int. 2016, 86, 14–23. [Google Scholar] [CrossRef] [PubMed]
  23. Simmons, C.P.; Farrar, J.J.; Nguyen, v.V.; Wills, B. Dengue. N. Engl. J. Med. 2012, 366, 1423–1432. [Google Scholar] [CrossRef]
  24. Hales, S.; de Wet, N.; Maindonald, J.; Woodward, A. Potential effect of population and climate changes on global distribution of dengue fever: An empirical model. Lancet 2002, 360, 830–834. [Google Scholar] [CrossRef] [PubMed]
  25. Gubler, D.J. Dengue and dengue hemorrhagic fever. Clin. Microbiol. Rev. 1998, 11, 480–496. [Google Scholar] [CrossRef]
  26. Froxán-Grabalosa, J.; Mariani, S.; Cerecedo-Iglesias, C.; Richter-Boix, A.; Torner, A.O.; Pla, M.; Brotons, L.; Bartumeus, F. Ecological drivers of arboviral disease risk: Vector-host interfaces in a Mediterranean wetland of Northeastern Spain. PLoS Negl. Trop. Dis. 2025, 19, e0013447. [Google Scholar] [CrossRef]
  27. European Centre for Disease Prevention and Control (ECDC). Dengue Worldwide Overview. 2 September 2024. Available online: https://www.ecdc.europa.eu/en/dengue-monthly (accessed on 2 October 2024).
  28. Istituto Superiore di Sanità (ISS). Febbre Dengue—News. EpiCentro. Available online: https://www.epicentro.iss.it/febbre-dengue/aggiornamenti (accessed on 2 October 2024).
  29. Scheld, W.M.; Grayson, M.L.; Hughes, J.M. (Eds.) Emerging Infections 9; ASM Press: Washington, DC, USA, 2010; Available online: https://onlinelibrary.wiley.com/doi/book/10.1128/9781555816803 (accessed on 27 August 2025).
  30. Damtew, Y.T.; Tong, M.; Varghese, B.M.; Anikeeva, O.; Hansen, A.; Dear, K.; Zhang, Y.; Morgan, G.; Driscoll, T.; Capon, T.; et al. Effects of high temperatures and heatwaves on dengue fever: A systematic review and meta-analysis. EBioMedicine 2023, 91, 104582. [Google Scholar] [CrossRef]
  31. Jetten, T.H.; Focks, D.A. Potential changes in the distribution of dengue transmission under climate warming. Am. J. Trop. Med. Hyg. 1997, 57, 285–297. [Google Scholar] [CrossRef]
  32. Chen, Y.; Li, N.; Lourenço, J.; Wang, L.; Cazelles, B.; Dong, L.; Li, B.; Liu, Y.; Jit, M.; Bosse, N.I.; et al. Measuring the effects of COVID-19-related disruption on dengue transmission in southeast Asia and Latin America: A statistical modelling study. Lancet Infect. Dis. 2022, 22, 657–667. [Google Scholar] [CrossRef]
  33. Kuno, G. Review of the factors modulating dengue transmission. Epidemiol. Rev. 1995, 17, 321–335. [Google Scholar] [CrossRef] [PubMed]
  34. Horta, M.A.; Bruniera, R.; Ker, F.; Catita, C.; Ferreira, A.P. Temporal relationship between environmental factors and the occurrence of dengue fever. Int. J. Environ. Health Res. 2014, 24, 471–481. [Google Scholar] [CrossRef] [PubMed]
  35. Limper, M.; Thai, K.T.; Gerstenbluth, I.; Osterhaus, A.D.; Duits, A.J.; van Gorp, E.C. Climate Factors as Important Determinants of Dengue Incidence in Curaçao. Zoonoses Public Health 2016, 63, 129–137. [Google Scholar] [CrossRef]
  36. Messina, J.P.; Brady, O.J.; Scott, T.W.; Zou, C.; Pigott, D.M.; Duda, K.A.; Bhatt, S.; Katzelnick, L.; Howes, R.E.; Battle, K.E.; et al. Global spread of dengue virus types: Mapping the 70 year history. Trends Microbiol. 2014, 22, 138–146. [Google Scholar] [CrossRef]
  37. Endy, T.P.; Nisalak, A.; Chunsuttiwat, S.; Libraty, D.H.; Green, S.; Rothman, A.L.; Vaughn, D.W.; Ennis, F.A. Spatial and temporal circulation of dengue virus serotypes: A prospective study of primary school children in Kamphaeng Phet, Thailand. Am. J. Epidemiol. 2002, 156, 52–59. [Google Scholar] [CrossRef] [PubMed]
  38. Burke, D.S.; Nisalak, A.; Johnson, D.E.; Scott, R.M. A prospective study of dengue infections in Bangkok. Am. J. Trop. Med. Hyg. 1988, 38, 172–180. [Google Scholar] [CrossRef]
  39. Endy, T.P.; Chunsuttiwat, S.; Nisalak, A.; Libraty, D.H.; Green, S.; Rothman, A.L.; Vaughn, D.W.; Ennis, F.A. Epidemiology of inapparent and symptomatic acute dengue virus infection: A prospective study of primary school children in Kamphaeng Phet, Thailand. Am. J. Epidemiol. 2002, 156, 40–51. [Google Scholar] [CrossRef]
  40. Porter, K.R.; Beckett, C.G.; Kosasih, H.; Tan, R.I.; Alisjahbana, B.; Rudiman, P.I.; Widjaja, S.; Listiyaningsih, E.; Ma’Roef, C.N.; McArdle, J.L.; et al. Epidemiology of dengue and dengue hemorrhagic fever in a cohort of adults living in Bandung, West Java, Indonesia. Am. J. Trop. Med. Hyg. 2005, 72, 60–66. [Google Scholar] [CrossRef] [PubMed]
  41. Wang, E.; Ni, H.; Xu, R.; Barrett, A.D.; Watowich, S.J.; Gubler, D.J.; Weaver, S.C. Evolutionary relationships of endemic/epidemic and sylvatic dengue viruses. J. Virol. 2000, 74, 3227–3234. [Google Scholar] [CrossRef]
  42. Vaughn, D.W.; Green, S.; Kalayanarooj, S.; Innis, B.L.; Nimmannitya, S.; Suntayakorn, S.; Rothman, A.L.; Ennis, F.A.; Nisalak, A. Dengue in the early febrile phase: Viremia and antibody responses. J. Infect. Dis. 1997, 176, 322–330. [Google Scholar] [CrossRef] [PubMed]
  43. Gratz, N.G. Critical review of the vector status of Aedes albopictus. Med. Vet. Entomol. 2004, 18, 215–227. [Google Scholar] [CrossRef]
  44. Centers for Disease Control and Prevention (CDC). Key Messages—Zika Virus Disease: Updated 6 April 2016. Available online: https://www.cdc.gov/zika/index.html (accessed on 2 July 2024).
  45. Caron, M.; Paupy, C.; Grard, G.; Becquart, P.; Mombo, I.; Nso, B.B.; Kassa Kassa, F.; Nkoghe, D.; Leroy, E.M. Recent introduction and rapid dissemination of Chikungunya virus and Dengue virus serotype 2 associated with human and mosquito coinfections in Gabon, central Africa. Clin. Infect. Dis. 2012, 55, e45–e53. [Google Scholar] [CrossRef]
  46. Cobra, C.; Rigau-Pérez, J.G.; Kuno, G.; Vorndam, V. Symptoms of dengue fever in relation to host immunologic response and virus serotype, Puerto Rico, 1990–1991. Am. J. Epidemiol. 1995, 142, 1204–1211. [Google Scholar] [CrossRef]
  47. WHO. Dengue: Guidelines for Diagnosis, Treatment, Prevention and Control; World Health Organization: Geneva, Switzerland, 2009. [Google Scholar]
  48. Prommalikit, O.; Thisyakorn, U.; Thisyakorn, C. Clinical manifestations of early childhood dengue virus infection in Thailand. Med. J. Malaysia. 2021, 76, 853–856. [Google Scholar]
  49. Malavige, G.N.; Ranatunga, P.K.; Velathanthiri, V.G.; Fernando, S.; Karunatilaka, D.H.; Aaskov, J.; Seneviratne, S.L. Patterns of disease in Sri Lankan dengue patients. Arch. Dis. Child. 2006, 91, 396–400. [Google Scholar] [CrossRef]
  50. Jayarajah, U.; Madarasinghe, M.; Hapugoda, D.; Dissanayake, U.; Perera, L.; Kannangara, V.; Udayangani, C.; Peiris, R.; Yasawardene, P.; De Zoysa, I.; et al. Clinical and Biochemical Characteristics of Dengue Infections in Children From Sri Lanka. Glob. Pediatr. Health 2020, 7, 2333794X20974207. [Google Scholar] [CrossRef] [PubMed]
  51. Rocha, S.M.C.D.; Pires, R.C.; Monteiro, D.C.S.; Cronemberges, T.C.R.; Souza, N.V.; Colares, J.K.B.; Lima, D.M. Is there an overestimation of dengue compared with that of other acute febrile syndromes in childhood? PLoS Negl. Trop. Dis. 2024, 18, e0012137. [Google Scholar] [CrossRef]
  52. World Health Organization (WHO). Dengue and Severe Dengue. Available online: https://www.who.int/health-topics/dengue-and-severe-dengue (accessed on 2 July 2024).
  53. Noble, C.G.; Shi, P.Y. Structural biology of dengue virus enzymes: Towards rational design of therapeutics. Antivir. Res. 2012, 96, 115–126. [Google Scholar] [CrossRef] [PubMed]
  54. Krishnan, M.N.; Garcia-Blanco, M.A. Targeting host factors to treat West Nile and dengue viral infections. Viruses 2014, 6, 683–708. [Google Scholar] [CrossRef]
  55. Precioso, A.R.; Palacios, R.; Thomé, B.; Mondini, G.; Braga, P.; Kalil, J. Clinical evaluation strategies for a live attenuated tetravalent dengue vaccine. Vaccine 2015, 33, 7121–7125. [Google Scholar] [CrossRef] [PubMed]
  56. Prompetchara, E.; Ketloy, C.; Thomas, S.J.; Ruxrungtham, K. Dengue vaccine: Global development update. Asian Pac. J. Allergy Immunol. 2020, 38, 178–185. [Google Scholar] [CrossRef]
  57. Huang, C.H.; Tsai, Y.T.; Wang, S.F.; Wang, W.H.; Chen, Y.H. Dengue vaccine: An update. Expert. Rev. Anti Infect. Ther. 2021, 19, 1495–1502. [Google Scholar] [CrossRef]
  58. Lumsden, W.H. An epidemic of virus disease in Southern Province, Tanganyika Territory, in 1952-53. II. General description and epidemiology. Trans. R. Soc. Trop. Med. Hyg. 1955, 49, 33–57. [Google Scholar] [CrossRef]
  59. Thiberville, S.D.; Moyen, N.; Dupuis-Maguiraga, L.; Nougairede, A.; Gould, E.A.; Roques, P.; de Lamballerie, X. Chikungunya fever: Epidemiology, clinical syndrome, pathogenesis and therapy. Antivir. Res. 2013, 99, 345–370. [Google Scholar] [CrossRef] [PubMed]
  60. Pialoux, G.; Gaüzère, B.A.; Jauréguiberry, S.; Strobel, M. Chikungunya, an epidemic arbovirosis. Lancet Infect. Dis. 2007, 7, 319–327. [Google Scholar] [CrossRef]
  61. Schilte, C.; Staikowsky, F.; Couderc, T.; Madec, Y.; Carpentier, F.; Kassab, S.; Albert, M.L.; Lecuit, M.; Michault, A. Chikungunya virus-associated long-term arthralgia: A 36-month prospective longitudinal study. PLoS Negl. Trop. Dis. 2013, 7, e2137, Erratum in PLoS Negl. Trop. Dis. 2013, 7. https://doi.org/10.1371/annotation/850ee20f-2641-46ac-b0c6-ef4ae79b6de6. [Google Scholar] [CrossRef] [PubMed]
  62. Volk, S.M.; Chen, R.; Tsetsarkin, K.A.; Adams, A.P.; Garcia, T.I.; Sall, A.A.; Nasar, F.; Schuh, A.J.; Holmes, E.C.; Higgs, S.; et al. Genome-scale phylogenetic analyses of chikungunya virus reveal in-dependent emergences of recent epidemics and various evolutionary rates. J. Virol. 2010, 84, 6497–6504, Erratum in J. Virol.  2011, 85, 5706. [Google Scholar] [CrossRef]
  63. Powers, A.M.; Brault, A.C.; Tesh, R.B.; Weaver, S.C. Re-emergence of Chikungunya and O’n-yong-nyong viruses: Evidence for distinct geographical lineages and distant evolutionary relationships. J. Gen. Virol. 2000, 81 Pt 2, 471–479. [Google Scholar] [CrossRef]
  64. European Centre for Disease Prevention and Control (ECDC). The Climatic Suitability for Dengue Transmission in Continental Europe. Published 26 July 2012. Available online: https://www.ecdc.europa.eu/en/publications-data/climatic-suitability-dengue-transmission-continental-europe (accessed on 1 July 2024).
  65. Schuffenecker, I.; Iteman, I.; Michault, A.; Murri, S.; Frangeul, L.; Vaney, M.C.; Lavenir, R.; Pardigon, N.; Reynes, J.M.; Pettinelli, F.; et al. Genome microevolution of chikungunya viruses causing the Indian Ocean outbreak. PLoS Med. 2006, 3, e263. [Google Scholar] [CrossRef]
  66. Tsetsarkin, K.A.; Vanlandingham, D.L.; McGee, C.E.; Higgs, S. A single mutation in chikungunya virus affects vector specificity and epidemic potential. PLoS Pathog. 2007, 3, e201. [Google Scholar] [CrossRef]
  67. Rezza, G.; Nicoletti, L.; Angelini, R.; Romi, R.; Finarelli, A.C.; Panning, M.; Cordioli, P.; Fortuna, C.; Boros, S.; Magurano, F.; et al. Infection with chikungunya virus in Italy: An outbreak in a temperate region. Lancet 2007, 370, 1840–1846. [Google Scholar] [CrossRef]
  68. Grandadam, M.; Caro, V.; Plumet, S.; Thiberge, J.M.; Souarès, Y.; Failloux, A.B.; Tolou, H.J.; Budelot, M.; Cosserat, D.; Leparc-Goffart, I.; et al. Chikungunya virus, southeastern France. Emerg. Infect. Dis. 2011, 17, 910–913. [Google Scholar] [CrossRef]
  69. Fischer, D.; Thomas, S.M.; Suk, J.E.; Sudre, B.; Hess, A.; Tjaden, N.B.; Beierkuhnlein, C.; Semenza, J.C. Climate change effects on Chikungunya transmission in Europe: Geospatial analysis of vector’s climatic suitability and virus’ temperature requirements. Int. J. Health Geogr. 2013, 12, 51. [Google Scholar] [CrossRef] [PubMed]
  70. Caminade, C.; Medlock, J.M.; Ducheyne, E.; McIntyre, K.M.; Leach, S.; Baylis, M.; Morse, A.P. Suitability of European climate for the Asian tiger mosquito Aedes albopictus: Recent trends and future scenarios. J. R. Soc. Interface 2012, 9, 2708–2717. [Google Scholar] [CrossRef]
  71. Tilston, N.; Skelly, C.; Weinstein, P. Pan-European Chikungunya surveillance: Designing risk stratified surveillance zones. Int. J. Health Geogr. 2009, 8, 61. [Google Scholar] [CrossRef]
  72. Vairo, F.; Di Pietrantonj, C.; Pasqualini, C.; Mammone, A.; Lanini, S.; Nicastri, E.; Castilletti, C.; Ferraro, F.; Di Bari, V.; Puro, V.; et al. The Surveillance of Chikungunya Virus in a Temperate Climate: Challenges and Possible Solutions from the Experience of Lazio Region, Italy. Viruses 2018, 10, 501. [Google Scholar] [CrossRef]
  73. Barr, K.L.; Vaidhyanathan, V. Chikungunya in Infants and Children: Is Pathogenesis Increasing? Viruses 2019, 11, 294. [Google Scholar] [CrossRef]
  74. Ward, C.E.; Chapman, J.I. Chikungunya in Children: A Clinical Review. Pediatr. Emerg. Care 2018, 34, 510–515. [Google Scholar] [CrossRef]
  75. Gaibani, P.; Landini, M.P.; Sambri, V. Diagnostic Methods for CHIKV Based on Serological Tools. Methods Mol. Biol. 2016, 1426, 63–73. [Google Scholar] [CrossRef]
  76. Faye, O.; Freire, C.C.; Iamarino, A.; Faye, O.; de Oliveira, J.V.; Diallo, M.; Zanotto, P.M.; Sall, A.A. Molecular evolution of Zika virus during its emergence in the 20(th) century. PLoS Negl. Trop. Dis. 2014, 8, e2636. [Google Scholar] [CrossRef]
  77. Lanciotti, R.S.; Lambert, A.J.; Holodniy, M.; Saavedra, S.; Signor Ldel, C. Phylogeny of Zika Virus in Western Hemisphere, 2015. Emerg. Infect. Dis. 2016, 22, 933–935. [Google Scholar] [CrossRef]
  78. Duffy, M.R.; Chen, T.H.; Hancock, W.T.; Powers, A.M.; Kool, J.L.; Lanciotti, R.S.; Pretrick, M.; Marfel, M.; Holzbauer, S.; Dubray, C.; et al. Zika virus outbreak on Yap Island, Federated States of Micronesia. N. Engl. J. Med. 2009, 360, 2536–2543. [Google Scholar] [CrossRef]
  79. Parra, B.; Lizarazo, J.; Jiménez-Arango, J.A.; Zea-Vera, A.F.; González-Manrique, G.; Vargas, J.; Angarita, J.A.; Zuñiga, G.; Lopez-Gonzalez, R.; Beltran, C.L.; et al. Guillain-Barré Syndrome Associated with Zika Virus Infection in Colombia. N. Engl. J. Med. 2016, 375, 1513–1523. [Google Scholar] [CrossRef]
  80. Musso, D.; Rodriguez-Morales, A.J.; Levi, J.E.; Cao-Lormeau, V.M.; Gubler, D.J. Unexpected outbreaks of arbovirus infections: Lessons learned from the Pacific and tropical America. Lancet Infect. Dis. 2018, 18, e355–e361. [Google Scholar] [CrossRef]
  81. Liu, J.; Liu, Y.; Shan, C.; Nunes, B.T.D.; Yun, R.; Haller, S.L.; Rafael, G.H.; Azar, S.R.; Andersen, C.R.; Plante, K.; et al. Role of mutational reversions and fitness restoration in Zika virus spread to the Americas. Nat. Commun. 2021, 12, 595. [Google Scholar] [CrossRef]
  82. Faria, N.R.; Azevedo, R.D.S.D.S.; Kraemer, M.U.G.; Souza, R.; Cunha, M.S.; Hill, S.C.; Thézé, J.; Bonsall, M.B.; Bowden, T.A.; Rissanen, I.; et al. Zika virus in the Americas: Early epidemiological and genetic findings. Science 2016, 352, 345–349. [Google Scholar] [CrossRef]
  83. Plourde, A.R.; Bloch, E.M. A Literature Review of Zika Virus. Emerg. Infect. Dis. 2016, 22, 1185–1192. [Google Scholar] [CrossRef]
  84. Oberlin, A.M.; Wylie, B.J. Vector-borne disease, climate change and perinatal health. Semin. Perinatol. 2023, 47, 151841. [Google Scholar] [CrossRef]
  85. Ryan, S.J.; Carlson, C.J.; Mordecai, E.A.; Johnson, L.R. Global expansion and redistribution of Aedes-borne virus transmission risk with climate change. PLoS Negl. Trop. Dis. 2019, 13, e0007213. [Google Scholar] [CrossRef]
  86. Venturi, G.; Zammarchi, L.; Fortuna, C.; Remoli, M.E.; Benedetti, E.; Fiorentini, C.; Trotta, M.; Rizzo, C.; Mantella, A.; Rezza, G.; et al. An autochthonous case of Zika due to possible sexual transmission, Florence, Italy, 2014. Euro Surveill. 2016, 21, 30148. [Google Scholar] [CrossRef]
  87. Derrington, S.M.; Cellura, A.P.; McDermott, L.E.; Gubitosi, T.; Sonstegard, A.M.; Chen, S.; Garg, A. Mucocutaneous Findings and Course in an Adult with Zika Virus Infection. JAMA Dermatol. 2016, 152, 691–693. [Google Scholar] [CrossRef] [PubMed]
  88. Brasil, P.; Calvet, G.A.; Siqueira, A.M.; Wakimoto, M.; de Sequeira, P.C.; Nobre, A.; Quintana Mde, S.; Mendonça, M.C.; Lupi, O.; de Souza, R.V.; et al. Zika Virus Outbreak in Rio de Janeiro, Brazil: Clinical Characterization, Epidemiological and Virological Aspects. PLoS Negl. Trop. Dis. 2016, 10, e0004636. [Google Scholar] [CrossRef]
  89. Martelli, C.M.T.; Cortes, F.; Brandão-Filho, S.P.; Turchi, M.D.; Souza, W.V.; Araújo, T.V.B.; Ximenes, R.A.A.; Miranda-Filho, D.B. Clinical spectrum of congenital Zika virus infection in Brazil: Update and issues for research development. Rev. Soc. Bras. Med. Trop. 2024, 57, e00301. [Google Scholar] [CrossRef] [PubMed]
  90. Sharp, T.M.; Fischer, M.; Muñoz-Jordán, J.L.; Paz-Bailey, G.; Staples, J.E.; Gregory, C.J.; Waterman, S.H. Dengue and Zika Virus Diagnostic Testing for Patients with a Clinically Compatible Illness and Risk for Infection with Both Viruses. MMWR Recomm. Rep. 2019, 68, 1–10. [Google Scholar] [CrossRef]
  91. Pan American Health Organization (PAHO); World Health Organization (WHO). Zika. 10 May 2024. Available online: https://www.paho.org/en/topics/zika (accessed on 2 July 2024).
  92. Centers for Disease Control and Prevention (CDC). Testing for Zika. Zika Virus. 13 June 2024. Available online: https://www.cdc.gov/zika/testing/index.html (accessed on 2 July 2024).
  93. de la Salud, O.P. Síntesis de evidencia: Directrices para el diagnóstico y el tratamiento del dengue, el chikunguña y el zika en la Región de las Américas [Evidence synthesis: Guidelines for diagnosis and treatment of dengue, chikungunya, and zika in the Region of the AmericasSíntese de evidências: Diretrizes para o diagnóstico e o tratamento da den-gue, chikungunya e zika na Região das Américas]. Rev. Panam. Salud Publica. 2022, 46, e82. [Google Scholar] [CrossRef]
  94. Jansen, C.C.; Beebe, N.W. The dengue vector Aedes aegypti: What comes next. Microbes Infect. 2010, 12, 272–279. [Google Scholar] [CrossRef]
  95. Giron, S.; Franke, F.; Decoppet, A.; Cadiou, B.; Travaglini, T.; Thirion, L.; Durand, G.; Jeannin, C.; L’Ambert, G.; Grard, G.; et al. Vector-borne transmission of Zika virus in Europe, southern France, August 2019. Euro Surveill. 2019, 24, 1900655. [Google Scholar] [CrossRef]
  96. LaRocque, R.L.; Ryan, E.T. Personal Actions to Minimize Mosquito-Borne Illnesses, Including Zika Virus. Ann. Intern. Med. 2016, 165, 589–590. [Google Scholar] [CrossRef]
  97. Kasetsirikul, S.; Buranapong, J.; Srituravanich, W.; Kaewthamasorn, M.; Pimpin, A. The development of malaria diagnostic techniques: A review of the approaches with focus on dielectrophoretic and magnetophoretic methods. Malar. J. 2016, 15, 358. [Google Scholar] [CrossRef] [PubMed]
  98. World Health Organization (WHO). World Malaria Report 2017. Available online: https://www.who.int/publications/i/item/9789241565523 (accessed on 2 July 2024).
  99. World Health Organization (WHO). World Malaria Report 2023. Available online: https://www.who.int/teams/global-malaria-programme/reports/world-malaria-report-2023 (accessed on 11 October 2024).
  100. Kouakou, Y.E.; Dely, I.D.; Doumbia, M.; Ouattara, A.; N’da, E.J.; Brou, K.E.; Zouzou, Y.A.; Cissé, G.; Koné, B. Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire. Geospat. Health 2024, 19, 10.4081/gh.2024.1285. [Google Scholar] [CrossRef] [PubMed]
  101. Andrade, H.F., Jr. Bruce-Chwatt’s essential malariology. Rev. Inst. Med. Trop. São Paulo. 1995, 37, 86. [Google Scholar] [CrossRef]
  102. Martens, W.J.M.; Jetten, T.H.; Focks, D.A. Sensitivity of malaria, schistosomiasis and dengue to global warming. Clim. Chang. 1997, 35, 145–156. [Google Scholar] [CrossRef]
  103. Detinova, T.S. Age-grouping methods in Diptera of medical importance with special reference to some vectors of malaria. Monogr. Ser. World Health Organ. 1962, 47, 13–191. Available online: https://pubmed.ncbi.nlm.nih.gov/13885800/ (accessed on 2 July 2024). [CrossRef]
  104. Siraj, A.S.; Santos-Vega, M.; Bouma, M.J.; Yadeta, D.; Ruiz Carrascal, D.; Pascual, M. Altitudinal changes in malaria incidence in highlands of Ethiopia and Colombia. Science 2014, 343, 1154–1158. [Google Scholar] [CrossRef]
  105. Chala, B.; Hamde, F. Emerging and Re-emerging Vector-Borne Infectious Diseases and the Challenges for Control: A Review. Front. Public Health 2021, 9, 715759. [Google Scholar] [CrossRef]
  106. Komen, K.; Olwoch, J.; Rautenbach, H.; Botai, J.; Adebayo, A. Long-run relative importance of temperature as the main driver to malaria transmission in Limpopo Province, South Africa: A simple econometric approach. Ecohealth 2015, 12, 131–143. [Google Scholar] [CrossRef]
  107. Garske, T.; Ferguson, N.M.; Ghani, A.C. Estimating air temperature and its influence on malaria transmission across Africa. PLoS ONE 2013, 8, e56487. [Google Scholar] [CrossRef]
  108. Paaijmans, K.P.; Blanford, S.; Bell, A.S.; Blanford, J.I.; Read, A.F.; Thomas, M.B. Influence of climate on malaria transmission depends on daily temperature variation. Proc. Natl. Acad. Sci. USA 2010, 107, 15135–15139. [Google Scholar] [CrossRef]
  109. Egbendewe-Mondzozo, A.; Musumba, M.; McCarl, B.A.; Wu, X. Climate change and vector-borne diseases: An economic impact analysis of malaria in Africa. Int. J. Environ. Res. Public Health 2011, 8, 913–930. [Google Scholar] [CrossRef] [PubMed]
  110. Leblanc, C.; Vasse, C.; Minodier, P.; Mornand, P.; Naudin, J.; Quinet, B.; Siriez, J.Y.; Sorge, F.; de Suremain, N.; Thellier, M.; et al. Erratum to “Management and prevention of imported malaria in children. Update of the French guidelines” [Med Mal Infect 50 (2020) 127-140]. Med. Mal. Infect. 2020, 50, 396. [Google Scholar] [CrossRef]
  111. Centre National de Référence du Paludisme. Rapports D’activités. Available online: https://cnr-paludisme.fr/activites-dexpertise/rapports-dactivites/ (accessed on 11 October 2024).
  112. D’Ortenzio, E.; Godineau, N.; Fontanet, A.; Houze, S.; Bouchaud, O.; Matheron, S.; Le Bras, J. Pro-longed Plasmodium falciparum infection in immigrants, Paris. Emerg. Infect. Dis. 2008, 14, 323–326. [Google Scholar] [CrossRef]
  113. EM consulte—Paludisme d’importation de l’enfant. Available online: https://www.em-consulte.com/article/283005/paludisme-d-importation-de-l-enfant (accessed on 11 October 2024).
  114. Ayanlade, A.; Sergi, C.; Ayanlade, O.S. Malaria and meningitis under climate change: Initial assessment of climate information service in Nigeria. Meteorol. Appl. 2020, 27, e1953. [Google Scholar] [CrossRef]
  115. Hoshen, M.B.; Morse, A.P. A weather-driven model of malaria transmission. Malar. J. 2004, 3, 32. [Google Scholar] [CrossRef]
  116. Ermert, V.; Fink, A.H.; Jones, A.E.; Morse, A.P. Development of a new version of the Liverpool Malaria Model. I. Refining the parameter settings and mathematical formulation of basic processes based on a literature review. Malar. J. 2011, 10, 35. [Google Scholar] [CrossRef]
  117. Diouf, I.; Rodriguez-Fonseca, B.; Deme, A.; Caminade, C.; Morse, A.P.; Cisse, M.; Sy, I.; Dia, I.; Ermert, V.; Ndione, J.A.; et al. Comparison of Malaria Simulations Driven by Meteorological Observations and Reanalysis Products in Senegal. Int. J. Environ. Res. Public Health 2017, 14, 1119. [Google Scholar] [CrossRef]
  118. Diouf, I.; Rodriguez Fonseca, B.; Caminade, C.; Thiaw, W.M.; Deme, A.; Morse, A.P.; Ndione, J.A.; Gaye, A.T.; Diaw, A.; Ndiaye, M.K.N. Climate Variability and Malaria over West Africa. Am. J. Trop. Med. Hyg. 2020, 102, 1037–1047. [Google Scholar] [CrossRef]
  119. Ermert, V.; Fink, A.H.; Morse, A.P.; Paeth, H. The impact of regional climate change on malaria risk due to greenhouse forcing and land-use changes in tropical Africa. Env. Health Perspect. 2012, 120, 77–84. [Google Scholar] [CrossRef]
  120. Burza, S.; Croft, S.L.; Boelaert, M. Leishmaniasis. Lancet 2018, 392, 951–970. [Google Scholar] [CrossRef]
  121. Desjeux, P. The increase in risk factors for leishmaniasis worldwide. Trans. R. Soc. Trop. Med. Hyg. 2001, 95, 239–243. [Google Scholar] [CrossRef]
  122. World Health Organization (WHO). Leishmaniasis. Available online: https://www.who.int/news-room/fact-sheets/detail/leishmaniasis (accessed on 11 October 2024).
  123. Ready, P.D. Leishmaniasis emergence in Europe. Euro Surveill. 2010, 15, 19505. [Google Scholar] [CrossRef]
  124. World Health Organization (WHO). WHO Results Report 2020–2021. Available online: https://www.who.int/about/accountability/results/who-results-report-2020-2021 (accessed on 2 July 2024).
  125. Ghatee, M.A.; Taylor, W.R.; Karamian, M. The Geographical Distribution of Cutaneous Leishmaniasis Causative Agents in Iran and Its Neighboring Countries, A Review. Front. Public Health 2020, 8, 11. [Google Scholar] [CrossRef]
  126. Paz, S.; Majeed, A.; Christophides, G.K. Climate change impacts on infectious diseases in the Eastern Mediterranean and the Middle East (EMME)-risks and recommendations. Clim. Chang. 2021, 169, 40. [Google Scholar] [CrossRef]
  127. Alawieh, A.; Musharrafieh, U.; Jaber, A.; Berry, A.; Ghosn, N.; Bizri, A.R. Revisiting leishmaniasis in the time of war: The Syrian conflict and the Lebanese outbreak. Int. J. Infect. Dis. 2014, 29, 115–119. [Google Scholar] [CrossRef]
  128. Al-Salem, W.S.; Pigott, D.M.; Subramaniam, K.; Haines, L.R.; Kelly-Hope, L.; Molyneux, D.H.; Hay, S.I.; Acosta-Serrano, A. Cutaneous Leishmaniasis and Conflict in Syria. Emerg. Infect. Dis. 2016, 22, 931–933. [Google Scholar] [CrossRef]
  129. Negev, M.; Paz, S.; Clermont, A.; Pri-Or, N.G.; Shalom, U.; Yeger, T.; Green, M.S. Impacts of Climate Change on Vector Borne Diseases in the Mediterranean Basin—Implications for Preparedness and Adaptation Policy. Int. J. Environ. Res. Public Health 2015, 12, 6745–6770. [Google Scholar] [CrossRef]
  130. Waitz, Y.; Paz, S.; Meir, D.; Malkinson, D. Temperature effects on the activity of vectors for Leishmania tropica along rocky habitat gradients in the Eastern Mediterranean. J. Vector Ecol. 2018, 43, 205–214. [Google Scholar] [CrossRef]
  131. Killick-Kendrick, R. The biology and control of phlebotomine sand flies. Clin. Dermatol. 1999, 17, 279–289. [Google Scholar] [CrossRef]
  132. Boussaa, S.; Guernaoui, S.; Pesson, B.; Boumezzough, A. Seasonal fluctuations of phlebotomine sand fly populations (Diptera: Psychodidae) in the urban area of Marrakech, Morocco. Acta Trop. 2005, 95, 86–91. [Google Scholar] [CrossRef]
  133. Ready, P.D. Leishmaniasis emergence and climate change. Rev. Sci. Tech. 2008, 27, 399–412. [Google Scholar] [CrossRef]
  134. Guernaoui, S.; Boumezzough, A.; Laamrani, A. Altitudinal structuring of sand flies (Diptera: Psychodidae) in the High-Atlas mountains (Morocco) and its relation to the risk of leishmaniasis transmission. Acta Trop. 2006, 97, 346–351. [Google Scholar] [CrossRef]
  135. Martín-Sánchez, J.; Morales-Yuste, M.; Acedo-Sánchez, C.; Barón, S.; Díaz, V.; Morillas-Márquez, F. Canine leishmaniasis in southeastern Spain. Emerg. Infect. Dis. 2009, 15, 795–798. [Google Scholar] [CrossRef]
  136. Bates, P.A. Leishmania sand fly interaction: Progress and challenges. Curr. Opin. Microbiol. 2008, 11, 340–344. [Google Scholar] [CrossRef]
  137. Chalghaf, B.; Chemkhi, J.; Mayala, B.; Harrabi, M.; Benie, G.B.; Michael, E.; Ben Salah, A. Ecological niche modeling predicting the potential distribution of Leishmania vectors in the Mediterranean basin: Impact of climate change. Parasit. Vectors 2018, 11, 461. [Google Scholar] [CrossRef]
  138. Erguler, K.; Pontiki, I.; Zittis, G.; Proestos, Y.; Christodoulou, V.; Tsirigotakis, N.; Antoniou, M.; Kasap, O.E.; Alten, B.; Lelieveld, J. A climate-driven and field data-assimilated population dynamics model of sand flies. Sci. Rep. 2019, 9, 2469. [Google Scholar] [CrossRef]
  139. Palumbo, E. Visceral leishmaniasis in children: A review. Minerva Pediatr. 2010, 62, 389–439. [Google Scholar]
  140. Montenegro Quiñonez, C.A.; Runge-Ranzinger, S.; Rahman, K.M.; Horstick, O. Effectiveness of vector control methods for the control of cutaneous and visceral leishmaniasis: A meta-review. PLoS Negl. Trop. Dis. 2021, 15, e0009309. [Google Scholar] [CrossRef]
  141. Farooq, Z.; Sjödin, H.; Semenza, J.C.; Tozan, Y.; Sewe, M.O.; Wallin, J.; Rocklöv, J. European projections of West Nile virus transmission under climate change scenarios. One Health 2023, 16, 100509. [Google Scholar] [CrossRef]
  142. Klingelhöfer, D.; Braun, M.; Kramer, I.M.; Reuss, F.; Müller, R.; Groneberg, D.A.; Brüggmann, D. A virus becomes a global concern: Research activities on West-Nile virus. Emerg. Microbes Infect. 2023, 12, 2256424. [Google Scholar] [CrossRef]
  143. Ronca, S.E.; Ruff, J.C.; Murray, K.O. A 20-year historical review of West Nile virus since its initial emergence in North America: Has West Nile virus become a neglected tropical disease? PLoS Negl. Trop. Dis. 2021, 15, e0009190. [Google Scholar] [CrossRef]
  144. D’Amore, C.; Grimaldi, P.; Ascione, T.; Conti, V.; Sellitto, C.; Franci, G.; Kafil, S.H.; Pagliano, P. West Nile Virus diffusion in temperate regions and climate change. A systematic review. Infez. Med. 2023, 31, 20–30. [Google Scholar] [CrossRef]
  145. Rossi, B.; Barreca, F.; Benvenuto, D.; Braccialarghe, N.; Campogiani, L.; Lodi, A.; Aguglia, C.; Cavasio, R.A.; Giacalone, M.L.; Kontogiannis, D.; et al. Human Arboviral Infections in Italy: Past, Current, and Future Challenges. Viruses 2023, 15, 368. [Google Scholar] [CrossRef]
  146. Engler, O.; Savini, G.; Papa, A.; Figuerola, J.; Groschup, M.H.; Kampen, H.; Medlock, J.; Vaux, A.; Wilson, A.J.; Werner, D.; et al. European surveillance for West Nile virus in mosquito populations. Int. J. Environ. Res. Public Health 2013, 10, 4869–4895. [Google Scholar] [CrossRef]
  147. Wang, G.; Minnis, R.B.; Belant, J.L.; Wax, C.L. Dry weather induces outbreaks of human West Nile virus infections. BMC Infect. Dis. 2010, 10, 38. [Google Scholar] [CrossRef]
  148. Anderson, M.; Forman, R.; Mossialos, E. Navigating the role of the EU Health Emergency Preparedness and Response Authority (HERA) in Europe and beyond. Lancet Reg. Health Eur. 2021, 9, 100203. [Google Scholar] [CrossRef]
  149. Centers for Disease Control and Prevention (CDC). Data and Maps for West Nile. West Nile Virus. 18 June 2024. Available online: https://www.cdc.gov/west-nile-virus/data-maps/index.html (accessed on 21 September 2024).
  150. European Centre for Disease Prevention and Control (ECDC). Surveillance Atlas of Infectious Diseases. 28 April 2023. Available online: https://www.ecdc.europa.eu/en/surveillance-atlas-infectious-diseases (accessed on 21 September 2024).
  151. Riccetti, N.; Fasano, A.; Ferraccioli, F.; Gomez-Ramirez, J.; Stilianakis, N.I. Host selection and for-age ratio in West Nile virus-transmitting Culex mosquitoes: Challenges and knowledge gaps. PLoS Negl. Trop. Dis. 2022, 16, e0010819. [Google Scholar] [CrossRef]
  152. Sejvar, J.J. The long-term outcomes of human West Nile virus infection. Clin. Infect. Dis. 2007, 44, 1617–1624. [Google Scholar] [CrossRef]
  153. Lindsey, N.P.; Hayes, E.B.; Staples, J.E.; Fischer, M. West Nile virus disease in children, United States, 1999–2007. Pediatrics 2009, 123, e1084–e1089. [Google Scholar] [CrossRef]
  154. Hayes, E.B.; O’Leary, D.R. West Nile virus infection: A pediatric perspective. Pediatrics 2004, 113, 1375–1381. [Google Scholar] [CrossRef]
  155. Barzon, L.; Pacenti, M.; Sinigaglia, A.; Berto, A.; Trevisan, M.; Palù, G. West Nile virus infection in children. Expert. Rev. Anti Infect. Ther. 2015, 13, 1373–1386. [Google Scholar] [CrossRef]
Table 1. Climate Change Impact on Vector-Borne Diseases.
Table 1. Climate Change Impact on Vector-Borne Diseases.
DiseaseTemperature Increase (°C)Vector Range ExpansionIncubation Period ChangeImpact on Transmission Rate
West Nile Virus2–3 °CYesDecreasedHigher
Malaria2–4 °CYesDecreasedHigher
Dengue2–3 °CYesDecreasedHigher
Chikungunya2–3 °CYesDecreasedHigher
Leishmaniasis1–2 °CYesDecreasedHigher
Zika2–3°YesDecreasedHigher
Table 2. Emerging Vector-Borne Diseases (VBDs) in Europe.
Table 2. Emerging Vector-Borne Diseases (VBDs) in Europe.
DiseaseVectorHostRegions of SpreadNew Areas of SpreadClimate Factors Influencing Spread
DengueAedes mosquitoesHumansSoutheast Asia, Latin America, AfricaSouthern Europe (e.g., Spain, Italy)Temperature increase, increased rainfall, urbanization, mosquito breeding sites
ChikungunyaAedes mosquitoesHumansAfrica, Asia, AmericasCaribbean, Mediterranean regionsWarmer temperatures, changes in rainfall patterns, urbanization
Zika VirusAedes mosquitoesHumansAmericas, Southeast AsiaU.S. territories (e.g., Puerto Rico)Temperature increase, altered habitats, urbanization
MalariaAnopheles mosquitoesHumansSub-Saharan Africa, Southeast AsiaSouthern Europe (e.g., Greece)Increased rainfall, warmer temperatures, changes in land use
LeishmaniasisSandfliesHumans, dogsMediterranean region, parts of Asia and AfricaSouthern Europe, urban areas in the Middle EastRising temperatures, habitat changes, urbanization
West Nile VirusCulex mosquitoesBirds, humansNorth America, Europe, AfricaExpanded into parts of EuropeTemperature increase, altered precipitation patterns, habitat availability
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Carbone, G.; Boiardi, G.; Infantino, C.; Cunico, D.; Esposito, S. Vectors on the Move: How Climate Change Fuels the Spread of Arboviruses in Europe. Microorganisms 2025, 13, 2034. https://doi.org/10.3390/microorganisms13092034

AMA Style

Carbone G, Boiardi G, Infantino C, Cunico D, Esposito S. Vectors on the Move: How Climate Change Fuels the Spread of Arboviruses in Europe. Microorganisms. 2025; 13(9):2034. https://doi.org/10.3390/microorganisms13092034

Chicago/Turabian Style

Carbone, Giulia, Giulia Boiardi, Claudia Infantino, Daniela Cunico, and Susanna Esposito. 2025. "Vectors on the Move: How Climate Change Fuels the Spread of Arboviruses in Europe" Microorganisms 13, no. 9: 2034. https://doi.org/10.3390/microorganisms13092034

APA Style

Carbone, G., Boiardi, G., Infantino, C., Cunico, D., & Esposito, S. (2025). Vectors on the Move: How Climate Change Fuels the Spread of Arboviruses in Europe. Microorganisms, 13(9), 2034. https://doi.org/10.3390/microorganisms13092034

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