2026
Authors
Okpachi Christopher Abbah, Olalekan John Taiwo, James Olaoye Oyeleye, Ganiyat Eshikhena, Tamaraebi Borme, German Wisdom, Dupsy Akoma, Fayokemi Olususi, Ifeoma Ezenyi, Chioma Unogu, Kaduru Chijioke
Modelling malaria environmental suitability and population exposure using the analytic hierarchy process among local government areas in Bayelsa State, Nigeria
Background: Persistent malaria transmission in Africa underscores the need for spatially explicit tools that identify highly endemic areas for targeted control. Although multi-criteria decision analysis (MCDA) offers a structured approach, its application has been limited by outdated environmental inputs and inconsistent factor aggregation
methods: . This study developed an ecology-informed Malaria Vulnerability Index (MVI) for Bayelsa State, Nigeria, using up-to-date, open-source geospatial datasets and a transparent...
