Search Results (33)

The rollout of COVID-19 vaccines marked a turning point in pandemic control, yet vaccine hesitancy emerged as a significant obstacle in sub-Saharan Africa (SSA). The study aims to investigate socio-behavioural drivers of vaccine hesitancy in three high-resistance countries: the Republic of Congo, the Democratic Republic of the Congo, and the Republic of Guinea-Bissau. By employing a qualitative ethnographic design, in the period from April to October 2022, the study enrolled 752 participants in semi-structured in-depth interviews and focus group discussions, involving community leaders, women’s leaders, healthcare providers, traditional practitioners, traditional leaders, drivers, and youth leaders, ensuring diverse perspectives. Findings indicate that vaccine hesitancy is fluid and contextual with three principal drivers: (1) denial of COVID-19’s existence, often reinforced by scepticism among healthcare providers and the belief that the disease is foreign or a governmental scheme for financial gain; (2) misinformation, including rumours about vaccine incompatibility with certain foods, and fears of sterility and witchcraft; (3) a firm reliance on traditional medicine, seen as effective alternative to biomedical interventions. Vaccine hesitancy can only be addressed through culturally responsive, multisectoral approaches centred on community dialogue, improved communication, and the integration of trusted networks. Without inclusive strategies, resistance will undermine pandemic response and future health interventions in SSA. Full article

Lassa fever, a viral hemorrhagic illness that first came into the limelight as a clinical entity in 1969 when it was discovered in Northern Nigeria, is now found in other West African countries such as Sierra Leone, Liberia, Guinea, Togo, and the Benin Republic. Over the years, the disease, which is primarily transmitted from contact with infected mastomys rodents to humans, has the capability of secondary human-to-human transmission with significant morbidity and mortality, especially in healthcare settings. The disease is typically characterized by seasonal outbreaks, which peak during the dry season months of December to March. Lassa fever significantly impacts public health and the socioeconomic life of people in affected communities. In Nigeria, the Integrated Disease Surveillance and Response Strategy (IDSR), along with other medical countermeasures, have been employed to curtail the impact of the disease in endemic regions of Nigeria and other West Africa countries. The one-health approach to combat the disease is a promising strategy. This, along with the hope of a safe and effective vaccine, is a ray of hope on the horizon for public health authorities in Nigeria and other West African countries that the battle against Lassa fever might indeed end sooner than later. Full article

While the role of expanding agriculture in deforestation and the loss of other natural ecosystems is well known, the specific drivers in the context of small- and large-scale agriculture remain poorly understood. In this study, we employed satellite data and a deep learning algorithm to map the agricultural landscape of Central Africa (Cameroon, Central Africa Republic, Congo, Democratic Republic of Congo, Equatorial Guinea, and Gabon) into large- (including for plantations and intensively cultivated areas) and small-scale tree crops and non-tree crop cover. This permits the assessment of forest loss between the years 2000 and 2022 as a result of small- and large-scale agriculture. Thematic [user’s] accuracy ranged between 91.2 ± 2.5 percent (large-scale oil palm) and 17.8 ± 3.9 percent (large-scale non-tree crops). Small-scale tree crops achieved relatively low accuracy (63.5 ± 5.9 percent), highlighting the difficulties of reliably mapping crop types at a regional scale. In general, we observed that small-scale agriculture is fifteen times the size of large-scale agriculture, as area estimates of small-scale non-tree crops and small-scale tree crops ranged between 164,823 ± 4224 km² and 293,249 ± 12,695 km², respectively. Large-scale non-tree crops and large-scale tree crops ranged between 20,153 ± 1195 km² and 7436 ± 280 km², respectively. Small-scale cropping activities represent 12 percent of the total land cover and have led to dramatic encroachment into tropical moist forests in the past two decades in all six countries. We summarized key recommendations to help the forest conservation effort of existing policy frameworks. Full article

This study analyzed the trend and factors associated with medical–surgical complications in patients discharged from leprosy multidrug therapy at the Centre Hospitalier Régional Spécialisé (CHRS), in Macenta, Republic of Guinea. This was a retro 2012 (n = 54) and 2013 (n = 35) and then a slight decrease between 2014 (n = 34) and 2017 (n = 26). From 2019 (n = 18) to 2021 (n = 1), a significant d spective study using routine secondary data from 2012 to 2021. The most represented age group ranged from 25 to 59 years (73.8%), with a male predominance of 72.6%. Farmers represented 60.7% of the patients, 74.5% of the patients had plantar wounds, and 48.8% resided in the N’zerekore region. A trend analysis showed an overall significant decrease in the number of patients with complications between ecline was found. In the patients with leprosy reactions, there was a reduction in numbers from 48 in 2012 to 2 in 2014, with a predominance in men. There were significant associations between region, plantar perforation disease (p = 0.013), and physical disability (p = 0.029) and between year and leprosy reaction after the cure (p < 0.001). In summary, there was a high proportion of patients with plantar ulcers, which predominantly affected farmers, and a significant proportion with leprosy reactions and physical disabilities. Community awareness around leprosy and capacity building of the providers in terms of appropriate management may contribute to improving patients’ quality of life. Full article

The aim of this study is to identify the main factors of anthropogenic impact and indicators of landscape transformation in the Fatala River Basin in the Republic of Guinea. Our fieldwork in the Boke and Kindia regions was the main source of materials and data. The landscape and ecological situation of nine key study plots were characterized. These key plots make up a representative series of transformed and natural landscapes. We complemented our fieldwork with Landsat satellite image analysis. We learned that the main factors of anthropogenic impact in the Fatala River Basin are the systematic burning of vegetation, mechanical disturbances of soil and vegetation cover, the depletion of fertile topsoil, grazing, and the littering of the landscape with household waste. The indicators of landscape transformation are deforestation, changes in the natural vegetation cover, and mechanically disturbed lands. We identified five main stages of agro-landscape development, starting from the clearing of a plot by burning vegetation (stage I) and ending with the completion of the agricultural activity in the plot and its abandonment to restore the topsoil (stage V). The limiting factors of nature management are elevation differences, the rapid restoration of vegetation cover, and rocky/gravelly substrate. It is possible to identify transformed landscapes in large or hard-to-reach regions using satellite images. Thus, natural or quasi-natural landscapes can be identified based on the lower surface temperature relative to the surrounding lands. The normalized difference vegetation index (NDVI) and normalized difference moisture index (NDMI) could be useful for identifying agricultural pasture plots within a tropical forest using long-term satellite data series. We revealed a tendency for landscape deterioration in the middle and upper parts of the Fatala River Basin, while vegetation cover is being restored in the lower part of the basin. Finally, we propose some measures to rehabilitate transformed landscapes and increase the efficiency of agricultural production in the study region. Full article

China is the world’s largest importer of logs, possessing the scale to exert significant influence in the international market. This paper uses a fixed-effect variable coefficient Pricing-to-Market panel model to measure China’s market power in log import trade. It also utilizes the Almost Ideal Demand System model from an elasticity perspective to explore the market behavior characteristics of various source countries in China’s log import trade, thereby validating the mechanism of market power. The results indicate that: ① China’s main trading partners can be categorized into four groups according to their market power in the log import trade. Specifically, China holds superlative market power in log imports from Indonesia, Malaysia, and Myanmar; holds strong market power in log imports from Russia, the Democratic Republic of the Congo, and Mozambique; holds weak market power in log imports from Papua New Guinea, Equatorial Guinea, France, Germany, Australia, and New Zealand; and holds no market power in Japan, Cameroon, and the United States. ② As China’s expenditure on log imports increases, there is a tendency to purchase high-quality precious wood and a greater concern for the legality of market transactions. Consequently, China is anticipated to augment its imports from source countries with no or weak market power. ③ The simple price elasticity of log imports from each source country is negative. Source countries with stronger market power tend to increase prices to achieve higher total revenue, while those with weaker market power are more inclined to lower prices to achieve the same. ④ Log products from various source countries are complementary in the Chinese market, indicating that China’s substantial demand for logs relies on the simultaneous supply from multiple countries and diverse wood types. Based on the existence or absence of market power in China’s log import trade, this paper provides targeted insights into enhancing international market power and reducing trade losses. Full article

According to recent data, there are currently 170 to 200 million people infected with HCV worldwide, and the number of new cases annually is approximately 40,000. Thus, the overall prevalence of the pathogen in the world is about 1.8–3%. The dynamic monitoring of circulating viral variants in specific groups that reflect the situation in the wider population, including potential pathogen spread, is of high importance for predicting the epidemiologic situation. Pregnant women are such a group. The Republic of Guinea is one of the poorest countries in the world, in which medicine receives little finance from the state. Among other conditions, HCV infection is not monitored in the country. This work used blood plasma from pregnant women living in the Republic of Guinea and their partners (1810 and 481). ELISA diagnostic kits were used to detect serologic markers, and PCR diagnostic kits were used to detect molecular biologic markers. Sanger sequencing, followed by phylogenetic analysis, was used for genotyping. The present study shows that HCV antibodies were detected in 3.2% of the pregnant women examined and in 3.33% of their male partners. HCV RNA was detected in 0.5% of cases in women and in all anti-HCV-positive male partners (3.33%). HCV RNA was more common in the men than in the pregnant women (χ² = 25.6, df 1, p < 0.0001, RR = 6.69 with 95% CI: 2.97–15.04). The HCV viral load was determined for all the RNA-HCV-positive samples. The HCV viral load exceeded 1000 IU/mL in all nine women and only in two cases in men. The HCV genes NS5A and NS5B and the NS3 gene fragment were sequenced for 11 samples. Subtype 2q was determined for three isolates and 2j for another three isolates. Another five isolates could not be confidently assigned a subtype because different results were obtained with different methods of analyzing the three viral regions. It can be assumed that these isolates belong to new viral subtypes or to recombinant forms between genotype 2 subtypes. No drug resistance mutations were identified, but a large number of natural polymorphisms in the analyzed genomic regions of the HCV isolates were shown. These results may serve as baseline data for the future planning of a nationwide estimate of the prevalence of bloodborne infections among pregnant women. Full article

This paper comprehensively utilizes the entropy-TOPSIS method, Lyapunov index, and kernel density estimation to measure the spatiotemporal evolution characteristics of regional economic resilience in 52 African countries (regions) from 2008 to 2019. It also examines the spatial network characteristics of regional economic resilience in each country (region) through gravity models and social network analysis. The findings reveal that: (1) Although the resilience of African regional economies fluctuates, it generally shows an improving trend. Traditional economic powers and regional giants such as Libya, Nigeria, South Africa, Egypt, Morocco, and Tunisia demonstrate outstanding performance in economic resilience. (2) In terms of scale resilience, the countries along the North African Mediterranean coast exhibit particularly prominent advantages. However, the overall performance of Africa in fiscal resilience and openness resilience tends to be weak. Industrial resilience is influenced by colonial legacies and tends to stabilize. (3) The differences in economic resilience values and the fluctuation trajectories of economic resilience levels converge. North African economies exhibit resilience far higher than the mean and other regions, while East, West, and Central Africa consistently perform below the mean in the long term. Southern Africa’s gap from the mean is relatively small, leading to a stalemate. The fluctuation amplitude of differences within each region varies. (4) The overall level of resilience in African regional economies has steadily improved, displaying a trend of polarization. There is evident spatial polarization in West Africa, with Southern Africa demonstrating a trend of multipolarity transitioning towards bipolarity. Conversely, North Africa strengthens its features of bipolar differentiation, while East and Central Africa exhibit tendencies towards multipolarity. (5) Despite some fluctuations in the spatial network of regional economic resilience around 2016, connections among African countries have become increasingly tight, gradually forming three major spatial correlation network clusters: the North African Mediterranean coast, the West–Central African Pan-Gulf of Guinea region, and the East–South African Rift Valley region. Nigeria holds a prominent position as a regional core. Zambia, Cameroon, and the Central African Republic have played certain regional core roles at different times. Nigeria and South Africa also demonstrate significant intermediary roles, while Zambia, Cameroon, and Burkina Faso act as bridges in different periods of network connections. Based on the characteristics of spatial correlation networks, African regions gradually form four major cohesive subgroups and eight sub-subgroups. Full article

The impact of outbreak response immunization (ORI) can be estimated by comparing observed outcomes to modelled counterfactual scenarios without ORI, but the most appropriate metrics depend on stakeholder needs and data availability. This study developed a framework for using mathematical models to assess the impact of ORI for vaccine-preventable diseases. Framework development involved (1) the assessment of impact metrics based on stakeholder interviews and literature reviews determining data availability and capacity to capture as model outcomes; (2) mapping investment in ORI elements to model parameters to define scenarios; (3) developing a system for engaging stakeholders and formulating model questions, performing analyses, and interpreting results; and (4) example applications for different settings and pathogens. The metrics identified as most useful were health impacts, economic impacts, and the risk of severe outbreaks. Scenario categories included investment in the response scale, response speed, and vaccine targeting. The framework defines four phases: (1) problem framing and data sourcing (identification of stakeholder needs, metrics, and scenarios); (2) model choice; (3) model implementation; and (4) interpretation and communication. The use of the framework is demonstrated by application to two outbreaks, measles in Papua New Guinea and Ebola in the Democratic Republic of the Congo. The framework is a systematic way to engage with stakeholders and ensure that an analysis is fit for purpose, makes the best use of available data, and uses suitable modelling methodology. Full article

This study conducts an in-depth analysis of anthropogenic transformation and air pollution within the confines of the Fatala River Basin situated in the Republic of Guinea, Africa. The foundation of this investigation relies upon interdisciplinary geoinformatics methodologies and data acquired through remote sensing, specifically drawing from Sentinel-5P and Sentinel-2 satellite datasets. The primary objectives encompass scrutinizing the extant ecological conditions characterizing the Fatala River Basin and assessing the anthropogenic influences within its geographic expanse. The utilization of remote sensing data, as facilitated by the Sentinel-5P satellite, emerges as a potent instrument for meticulously monitoring environmental transformations. A comprehensive analysis of the designated area, conducted through remote sensing methodologies, is employed to ascertain the concentrations of various atmospheric constituents, including nitrogen dioxide, sulfur dioxide, formaldehyde, methane, ozone, and carbon monoxide. The findings gleaned from this inquiry reveal that, notwithstanding the dynamic growth of the extractive industry centered around the world’s preeminent bauxite province, the Fouta Djallon–Mandingo, the anthropogenic transformation of the Fatala River Basin exerts a comparatively minor influence on air quality. Statistical assessments, including correlation analysis, conducted between computed parameters delineating anthropogenic alterations within the Fatala River Basin, and a comprehensive atmospheric pollution index elucidate a lack of a significant nexus. It has been determined that air pollution within the Fatala River Basin is notably influenced by topographical features and the transport of contaminants from adjacent river basins. Consequently, this article makes a substantial contribution to our comprehension of the contemporary ecological state of the Fatala River Basin in the Republic of Guinea. It also holds significant importance in elucidating the ecological challenges specific to the researched region. Full article

The seroprevalence to orthoebolaviruses was studied in 9594 bats (5972 frugivorous and 3622 insectivorous) from Cameroon, the Democratic Republic of Congo (DRC) and Guinea, with a Luminex-based serological assay including recombinant antigens of four orthoebolavirus species. Seroprevalence is expressed as a range according to different cut-off calculations. Between 6.1% and 18.9% bat samples reacted with at least one orthoebolavirus antigen; the highest reactivity was seen with Glycoprotein (GP) antigens. Seroprevalence varied per species and was higher in frugivorous than insectivorous bats; 9.1–27.5% versus 1.3–4.6%, respectively. Seroprevalence in male (13.5%) and female (14.4%) bats was only slightly different and was higher in adults (14.9%) versus juveniles (9.4%) (p < 0.001). Moreover, seroprevalence was highest in subadults (45.4%) when compared to mature adults (19.2%), (p < 0.001). Our data suggest orthoebolavirus circulation is highest in young bats. More long-term studies are needed to identify birthing pulses for the different bat species in diverse geographic regions and to increase the chances of detecting viral RNA in order to document the genetic diversity of filoviruses in bats and their pathogenic potential for humans. Frugivorous bats seem more likely to be reservoirs of orthoebolaviruses, but the role of insectivorous bats has also to be further examined. Full article

Urban green infrastructure has become crucial to sustainable cities’ development because it offers many advantages, including better environmental quality, increased social well-being, and increased economic prosperity. The evaluation and monitoring of the implementation of policies are essential elements of the development of urban green infrastructure because they demonstrate the will of political decision-makers to assess the implementation’s success and adapt it to the observed need. This article sets out existing institutional structures, institutional plans, and institutional policies linked to creating urban green infrastructure in three study cities: Conakry, Kankan, and Dubreka. The collected data were analyzed using descriptive statistics and policy analysis. The study used primary data collection methods, including questionnaires and interviews with key informants, to gather first-hand information from decision-makers, planners, managers, and other organizations involved in developing and managing urban green infrastructure at regional and local levels. In addition, this study used primary data collection, facilitating the collection of first-hand information reinforced by questionnaires. A simple random sampling method was also adopted, which improved the selection of a sample of 330 respondents. Most government officials and academics agree that current policies regarding green urban infrastructure have not been implemented. The study has identified several shortcomings in existing political and legal frameworks, in particular the lack of coordination and coherence between the ministries and the government agencies involved, insufficient financial and human resources, the lack of attention, the lack of transparency in the process of developing policies and regulations, the low involvement of the private sector, the need to strengthen technical capacity, and poor urban green infrastructure strategies. These actions are necessary to develop essential policies and procedures that improve the development of green urban infrastructure. In order to overcome these obstacles, efforts must be made to improve coordination and collaboration between stakeholders, strengthen technical capacity, increase public participation, and improve transparency in the process of policies and regulation. Full article

Background: Deaths due to vaccine-preventable diseases are one of the leading causes of death among African children. Vaccine coverage is an essential measure to decrease infant mortality. The COVID-19 pandemic has affected the healthcare system and may have disrupted vaccine coverage. Methods: DTP third doses (DTP3) Vaccine Coverage was extracted from UNICEF databases from 2012 to 2021 (the last available date). Joinpoint regression was performed to detect the point where the trend changed. The annual percentage change (APC) with 95% confidence intervals (95% CI) was calculated for Africa and the regions. We compared DTP3 vaccination coverage in 2019–2021 in each country using the Chi-square test. Result: During the whole period, the vaccine coverage in Africa increased with an Annual Percent change of 1.2% (IC 95% 0.9–1.5): We detected one joinpoint in 2019. In 2019–2021, there was a decrease in DTP3 coverage with an APC of −3.5 (95% −6.0; −0,9). (p < 0.001). Vaccination rates decreased in many regions of Sub-Saharan Africa, especially in Eastern and Southern Africa. There were 26 countries (Angola, Cabo Verde, Comoros, Congo, Côte d’Ivoire, Democratic Republic of the Congo, Djibouti, Ethiopia, Eswatini, The Gambia, Guinea-Bissau, Liberia, Madagascar, Malawi, Mauritania, Mauritius, Mozambique, Rwanda, Senegal, Seychelles, Sierra Leone, Sudan, Tanzania, Togo, Tunisia, Uganda, and Zimbabwe) where the vaccine coverage during the two years decreased. There were 10 countries (Angola, Cabo Verde, Comoros, Democratic Republic of the Congo, Eswatini, The Gambia, Mozambique, Rwanda, Senegal, and Sudan) where the joinpoint regression detected a change in the trend. Conclusions. COVID-19 has disrupted vaccine coverage, decreasing it all over Africa. Full article

Background: Q fever is a zoonotic infectious disease characterized by fever, malaise, chills, significant weakness, and muscle pain. In some cases, the disease can become chronic and affect the inner membranes of the heart, such as the valves, leading to endocarditis and a high risk of death. Coxiella burnetii (C. burnetii) is the primary causative agent of Q fever in humans. This study aims to monitor the presence of C. burnetii in ticks collected from small mammals and cattle in the Republic of Guinea (RG). Methods: Rodents were trapped in the Kindia region of RG during 2019–2020, and ticks were collected from cattle in six regions of RG. Total DNA was extracted using a commercial kit (RIBO-prep, InterLabService, Russia) following the manufacturer’s instructions. Real-time PCR amplification was conducted using the kit (AmpliSens Coxiella burnetii-FL, InterLabService, Russia) to detect C. burnetii DNA. Results and Conclusions: Bacterial DNA was detected in 11 out of 750 (1.4%) small mammals and 695 out of 9620 (7.2%) tick samples. The high number of infected ticks (7.2%) suggests that they are the main transmitters of C. burnetii in RG. The DNA was detected in the liver and spleen of a Guinea multimammate mouse, Mastomys erythroleucus. These findings demonstrate that C. burnetii is zoonotic in RG, and measures should be taken to monitor the bacteria’s dynamics and tick prevalence in the rodent population. Full article

Maternal mortality ratios in sub-Saharan Africa remain high and worrisome. Moreover, maternal health indicators have remained poor despite large efforts in the last two decades. This study assesses maternal mortality patterns by age and country. The demographic and health survey data were used for the study. Based on the results, countries with the lowest adult female mortality rate include Senegal, Comoros, Rwanda, Mauritania, Sao Tome and Principe, Gambia, and Ethiopia. In addition, Chad (44.7%), Niger (38.7%), the Congo Democratic Republic (34.8%), Nigeria (34.2%), Mauritania (32.0%), Senegal (29.2%), Liberia (28.8%), Benin (27.8%), and Guinea (27.5%), respectively, reported the highest female deaths that are pregnancy-related. Overall, Lesotho (1024; 95% CI: 731–1318), Liberia (913; 95% CI: 638–1189), Chad (860; 95% CI: 728–993), Congo Democratic Republic (846; 95% CI: 690–1003), Sierra Leone (796; 95% CI: 632–960) and Guinea (724; 95% CI: 531–916) had the leading pregnancy-related mortality ratio per 100,000 live births. The study found that the patterns of death vary across different countries. There is a need for concerted efforts to reduce pregnancy-related deaths in sub-Saharan countries. Full article