Abstract
This study investigates the spatial distribution, environmental determinants, and public health implications of malaria in the coastal region of Cameroon. Using epidemiological data from the Ministry of Public Health (2018–2023) and environmental data from satellite-based remote sensing, we applied Moran’s I, Getis-Ord Gi*, and spatial regression to identify high-risk clusters and potential exposure pathways. Results reveal significant clustering along low-lying floodplains, with strong correlations between high mosquito breeding indices and peak malaria incidence. These findings underscore the necessity of integrating spatial epidemiology with environmental management policies to reduce malaria transmission risk.
Keywords:
- Keyword: Spatial epidemiology
- Keyword: Environmental health
- Keyword: Disease mapping
- Keyword: Risk assessment
- Keyword: Malaria
- Keyword: Cameroon
How to Cite:
Zhu, Y., (2025) “Spatial Epidemiology and Environmental Risk Assessment of Malaria in Coastal Cameroon: Implications for Public Health Policy”, Journal of Health Geography and Public Health (JHGPH) . doi: https://doi.org//JHGPH.3