ArticleInternational journal of health geographics2024
Spatial analysis and mapping of malaria risk areas using geospatial technology in the case of Nekemte City, western Ethiopia.
Article in International journal of health geographics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Mapping malaria risk using geospatial and AHP approaches in Nsanje District, Malawi.Epidemiology and infection · 2026Article
- Environmental factors influencing mosquito breeding and malaria transmission using geospatial technologies in the Wabi Shebele sub-basin, Ethiopia.Scientific reports · 2026Article
- Mapping malaria vulnerability hotspots using multi-criteria decision analysis, GIS, and remote sensing: a case study in Abaya Woreda, West Guji Zone, Ethiopia.International journal of health geographics · 2026Article
- Mapping Malaria Susceptibility in the Oti Region of Ghana Using Remote Sensing and GIS: A Retrospective Observational Study.Health science reports · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
backgroundMalaria is a major public health issue in Nekemte City, western Ethiopia, with various environmental and social factors influencing transmission patterns. Effective control and prevention strategies require precise identification of high-risk areas. This study aims to map malaria risk zones in Nekemte City using geospatial technologies, including remote sensing and Geographic Information Systems (GIS), to support targeted interventions and resource allocation.
methodsThe study integrated environmental and social factors to assess malaria risk in the city. Environmental factors, including climatic and geographic characteristics, such as elevation, rainfall patterns, temperature, slope, and proximity to river, were selected based on experts' opinions and literature review. These factors were weighted using the analytic hierarchy process according to their relative influence on malaria hazard susceptibility. Social factors considered within the GIS framework focused on human settlements and access to resources. These included population density, proximity to health facilities, and proximity to roads. The malaria risk analysis incorporated hazard and vulnerability layers, along with Land use/cover (LULC) data. A weighted overlay analysis method combined these layers and generate the final malaria risk map.
resultsThe malaria risk map identified that 18.2% (10.5 km
conclusionsThis malaria risk map offers a valuable tool for malaria control and elimination efforts in Nekemte City. By identifying high-risk areas, the map provides actionable insights that can guide local health strategies, optimize resource distribution, and improve the efficiency of interventions. These findings contribute to enhanced public health planning and can support future regional malaria control initiatives.
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