Evidence map›Paper›PMID 41761183›Full record

ArticleInternational journal of health geographics2026

Mapping malaria vulnerability hotspots using multi-criteria decision analysis, GIS, and remote sensing: a case study in Abaya Woreda, West Guji Zone, Ethiopia.

Dechasa Diriba, Degu Demise, Birhanu Kenate, Dabesa Gobena, Melese Lemi, Natinael Teferi, Shankar Karuppannan, Gemechu Churiso

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Article in International journal of health geographics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Dechasa DiribaDepartment of Geology, College of Natural and Computational Science, Dilla University, P.O. Box: 419, Dilla, Ethiopia. dachassa21@gmail.com.
Degu DemiseDepartment of Natural Resources Management, College of Agriculture and Natural Resources, Dilla University, P.O. Box. 419, Dilla, Ethiopia.
Birhanu KenatePublic Health Emergency Management, Research, and Blood Bank Service Directorate, Oromia Region Health Bureau, Addis Ababa, Ethiopia.
Dabesa GobenaPublic Health Emergency Management, Research, and Blood Bank Service Directorate, Oromia Region Health Bureau, Addis Ababa, Ethiopia.
Melese LemiPublic Health Emergency Management, Research, and Blood Bank Service Directorate, Oromia Region Health Bureau, Addis Ababa, Ethiopia.
Natinael TeferiPublic Health Emergency Management, Research, and Blood Bank Service Directorate, Oromia Region Health Bureau, Addis Ababa, Ethiopia.
Shankar KaruppannanDepartment of Research Analytics, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha Dental College and Hospitals, Saveetha University, Chennai, 600077, Tamil Nadu, India.
Gemechu ChurisoDepartment of Medical Laboratory Sciences, College of Health and Medical Sciences, Dilla University, P.O. Box: 419, Dilla, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMalaria is one of the world's most serious public health problems and remains a leading health burden in developing countries such as Ethiopia. Large parts of the country, especially lowland areas such as Abaya Woreda, are affected by this disease. The study area is highly endemic for malaria; therefore, identifying vulnerability hotspots and implementing targeted interventions are important for reducing disease burden and saving lives. The present study aims to identify malaria vulnerability hotspot areas in Abaya Woreda, West Guji, Ethiopia, using a comprehensive geospatial approach including GIS and remote sensing techniques.

methodsTo generate a malaria vulnerability map, ten key factors representing climatic, topographic, environmental, and demographic determinants were derived from multi-source datasets, including Landsat 8, SRTM Digital Elevation Model (DEM), GPS field surveys, and CHIRPS precipitation data. The relative weights of these factors were determined using the Analytic Hierarchy Process (AHP) before being integrated via weighted overlay analysis in ArcGIS 10.8.

resultsThe results revealed that 38.3% of the study area is highly vulnerable to malaria. These areas are closely associated with lower elevations, wetlands, water bodies, greater distances from health facilities, and high population density. Furthermore, 49.1% of the area was identified as moderately vulnerable, while only 12.6% exhibited low vulnerability.

conclusionThe findings of this study provide critical, data-driven insights to support stakeholders and policymakers in designing, prioritizing, and implementing targeted, evidence-based malaria control and prevention strategies in Abaya Woreda, thereby significantly enhancing the efficiency and impact of public health interventions.

Indexed as

Decision Support TechniquesDisease HotspotGeographic Information SystemsMalariaRemote Sensing TechnologyAnimalsEthiopiaHumansAHPAnopheles mosquitoesMalariaMCDAVulnerability mapping

Identifiers

PMID41761183
PMCPMC13049725

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.