Observational studyMalaria journal2024
Malaria transmission heterogeneity in different eco-epidemiological areas of western Kenya: a region-wide observational and risk classification study for adaptive intervention planning.
Observational study in Malaria journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Genetic diversity, population structure, and drug resistance of Plasmodium falciparum in Kenya: a systematic review and meta-analysis.Malaria journal · 2025Pooled it
- Characterisation of between-cluster heterogeneity in malaria cluster randomised trials to inform future sample size calculations.Nature communications · 2025Pooled it
- Geospatial-based surveillance of malaria risk in Dar es Salaam using a hybrid 3DCNN + LSTM and CA model.International journal of health geographics · 2026Review
- Impact of age-structured migration on malaria burden: A modelling-empirical analysis in sub-Saharan Africa.Infectious Disease Modelling · 2026Article
- Optimizing age-structured sampling for estimating the seroconversion rate in malaria seroepidemiology: a simulation study.Scientific reports · 2026Article
- Uncovering silent malaria reservoirs in Southern Ethiopia: community-based molecular detection of asymptomatic and sub-microscopic infections and their implications for diagnosis and control.Malaria journal · 2026Article
- Rural-Urban Migration and Low-Transmission Endemicity of Malaria in Sub-Saharan Africa: A Statistical Inference Approach to Uncover Possible Mechanisms.Journal of epidemiology and global health · 2026Article
- Population HLA coverage of experimentally characterizedFrontiers in bioinformatics · 2026Article
- Spatiotemporal trends in P. falciparum malaria and identification of high-risk villages in Eastern Myanmar: an 8-year observational study.Scientific reports · 2025Observational
- Identifying malaria elimination strategies in the presence of human movement in Bangladesh.Communications medicine · 2025Article
- Integrating vulnerability and hazard in malaria risk mapping: the elimination context of Senegal.BMC infectious diseases · 2025Article
- Comparative immunological roles of TEP1 inFrontiers in immunology · 2025Review
- Net ownership, utilization and malaria burden in the context of Piperonyl butoxide-LLINs intervention in western Kenya.PloS one · 2025Article
- The spatial heterogeneity of malaria transmission: An entomological investigation in a highly endemic setting of Burkina Faso.Current research in parasitology & vector-borne diseases · 2025Article
- Article
- What do women in the highest malaria burden country know about ways to prevent malaria? A multi-level analysis of the 2021 Nigeria Malaria Indicator Survey data.Malaria journal · 2024Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundUnderstanding of malaria ecology is a prerequisite for designing locally adapted control strategies in resource-limited settings. The aim of this study was to utilize the spatial heterogeneity in malaria transmission for the designing of adaptive interventions.
methodsField collections of clinical malaria incidence, asymptomatic Plasmodium infection, and malaria vector data were conducted from 108 randomly selected clusters which covered different landscape settings including irrigated farming, seasonal flooding area, lowland dryland farming, and highlands in western Kenya. Spatial heterogeneity of malaria was analyzed and classified into different eco-epidemiological zones.
resultsThere was strong heterogeneity and detected hot/cold spots in clinical malaria incidence, Plasmodium prevalence, and vector abundance. The study area was classified into four zones based on clinical malaria incidence, parasite prevalence, vector density, and altitude. The two irrigated zones have either the highest malaria incidence, parasite prevalence, or the highest malaria vector density; the highlands have the lowest vector density and parasite prevalence; and the dryland and flooding area have the average clinical malaria incidence, parasite prevalence and vector density. Different zones have different vector species, species compositions and predominant species. Both indoor and outdoor transmission may have contributed to the malaria transmission in the area. Anopheles gambiae sensu stricto (s.s.), Anopheles arabiensis, Anopheles funestus s.s., and Anopheles leesoni had similar human blood index and malaria parasite sporozoite rate.
conclusionThe multi-transmission-indicator-based eco-epidemiological zone classifications will be helpful for making decisions on locally adapted malaria interventions.
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