JoelAgunsoye/Malaria-Prevalence-Mapping-Using-GIS-Kogi-State

Spatial analysis of malaria prevalence using GIS, vulnerability modelling, and remote sensing techniques in Kogi State, Nigeria. ## Malaria Prevalence Mapping Using GIS – Kogi State, Nigeria ## Overview This project analyzes the spatial distribution of malaria prevalence in Kogi West, Nigeria using Geographic Information Systems (GIS). Malaria remains a major public health challenge, especially in sub-Saharan Africa, where environmental and socio-economic factors strongly influence disease spread :contentReference[oaicite:0]{index=0}. ## Objectives - Identify factors influencing malaria prevalence - Analyze spatial patterns of malaria distribution - Map vulnerable areas using GIS ## Data & Methodology - Survey data from 400 respondents across 7 LGAs - GIS analysis using ArcGIS 10.8 - Spatial modelling using: - Waste disposal patterns - Drainage conditions - Land use/land cover - Risk model applied: R = H × E × V ## Tools Used - ArcGIS 10.8 - GIS Spatial Analysis - Descriptive Statistics ## Key Findings - ~60% of the study area is at high malaria risk - Lokoja and Kogi LGAs are most vulnerable - Major drivers include: - Poor drainage - Improper waste disposal - Low income levels ## Outputs - Malaria vulnerability maps - Spatial risk classification (Low → Very High) - Policy-relevant insights ## Publication Published in: International Journal of Research Publication and Reviews (2025) DOI: doi.org ## Author Joel Agunsoye