ArticleParasites & vectors2024
Geospatial modelling of dry season habitats of the malaria vector, Anopheles funestus, in south-eastern Tanzania.
Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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15 citing papers in PubMed.
- Less is more: modelling the impact of species-targeted versus broadcast larviciding in Anopheles funestus-dominated malaria transmission settings.Malaria journal · 2026Article
- Seasonal variation in aquatic habitat availability and use by the malaria vector, Anopheles funestus.Malaria journal · 2026Article
- Identification of malaria hotspots in southwestern Benin through spatial joint modelling of malaria incidence and vector abundance.Malaria journal · 2026Article
- Stage-dependent trade-offs in thermal performance: fluctuating temperatures reverse larval and adult fitness in Anopheles gambiae and An. coluzzii.Journal of medical entomology · 2026Article
- Microsatellite analysis of genetic differentiation among populations of the malaria vector Anopheles funestus across mainland Tanzania reveals contrasted patterns of geographic isolation and gene flow.Parasites & vectors · 2026Article
- Mapping mosquito diversity in Kenya correlating species distribution with malaria prevalence across varied climatic parameters.Malaria journal · 2026Article
- Confirmation of a hyperendemic focus of porcine cysticercosis in Northern Uganda: Prevalence and risk factor analysis.PLoS neglected tropical diseases · 2025Article
- Heterogeneous malaria transmission patterns in southeastern Tanzania driven by socio-economic and environmental factors.Malaria journal · 2025Article
- Stratified vector control and proactive cross border collaboration for sustaining malaria elimination in Yunnan, China.BMJ (Clinical research ed.) · 2025Article
- Monitoring individual rice field flooding dynamics over a large scale to improve mosquito surveillance and control.Malaria journal · 2025Article
- Larval surveys reveal breeding site preferences of malaria vector Anopheles spp. in Zanzibar City.PloS one · 2025Article
- Societal uses of the main water bodies inhabited by malaria vectors and implications for larval source management.Malaria journal · 2024Article
- Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.International journal of health geographics · 2024Article
- Correction: Geospatial modelling of dry season habitats of the malaria vector, Anopheles funestus, in south-eastern Tanzania.Parasites & vectors · 2024Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnopheles funestus is a major malaria vector in Eastern and Southern Africa and is currently the dominant malaria-transmitting vector in many parts of Tanzania. Previous research has identified its preference for specific aquatic habitats, especially those that persist in dry months. This observation suggests the potential for targeted control through precise habitat mapping and characterization. In this study, we investigated the influence of habitat characteristics, land cover and human population densities on An. funestus distribution during dry seasons. Based on the results, we developed a habitat suitability model for this vector species in south-eastern Tanzania.
methodsEighteen villages in south-eastern Tanzania were surveyed during the dry season from September-December 2021. Water bodies were systematically inspected for mosquito larvae and characterized by their physico-chemical characteristics and surrounding environmental features. A generalized linear model was used to assess the presence of An. funestus larvae as a function of the physico-chemical characteristics, land use and human population densities. The results obtained from this model were used to generate spatially explicit predictions of habitat suitability in the study districts.
resultsOf the 1466 aquatic habitats surveyed, 440 were positive for An. funestus, with river streams having the highest positivity (74%; n = 322) followed by ground pools (15%; n = 67). The final model had an 83% accuracy in predicting positive An. funestus habitats, with the most important characteristics being permanent waters, clear waters with or without vegetation or movement and shading over the habitats. There was also a positive association of An. funestus presence with forested areas and a negative association with built-up areas. Human population densities had no influence on An. funestus distribution.
conclusionsThe results of this study underscore the crucial role of both the specific habitat characteristics and key environmental factors, notably land cover, in the distribution of An. funestus. In this study area, An. funestus predominantly inhabits river streams and ground pools, with a preference for clear, perennial waters with shading. The strong positive association with more pristine environments with tree covers and the negative association with built-up areas underscore the importance of ecological transitions in vector distribution and malaria transmission risk. Such spatially explicit predictions could enable more precise interventions, particularly larval source management, to accelerate malaria control.
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