rabeccakanini-commits/Malaria-Incidence-Modelling-Kenya

R code and reproducible analysis for modelling malaria incidence in Kenya using environmental and entomological data. # Malaria Incidence Modelling in Kenya This repository contains the R scripts used for statistical modelling of malaria incidence across selected counties in Kenya from 2016 to 2025. The analysis integrates malaria incidence data with environmental and entomological covariates, including rainfall, temperature, relative humidity, NDVI, land cover, and female *Anopheles* abundance. ## Study Objectives 1. Describe spatial and temporal patterns of malaria incidence. 2. Assess environmental and entomological factors associated with malaria incidence. 3. Develop a Bayesian spatio-temporal model integrating environmental and entomological information. 4. Generate model-based malaria risk estimates across the study counties. ## Repository Structure - `03_scripts/` – R scripts for data cleaning, descriptive analysis, environmental processing, entomological analysis, Bayesian modelling, and prediction. - `.gitignore` – excludes raw data, processed datasets, backups, local libraries, and bulk outputs. ## Data Raw and processed datasets are not included in this repository because of data-access, privacy, and file-size considerations. ## Software The analysis was conducted primarily in R using packages for data manipulation, spatial analysis, statistical modelling, and Bayesian inference. ## Author Rabecca Kanini Kating'u