Assessing the impact of climate and control interventions on spatio-temporal malaria dynamics using a stochastic metapopulation model

doi:10.1371/journal.pcbi.1014004

Assessing the impact of climate and control interventions on spatio-temporal malaria dynamics using a stochastic metapopulation model

Fig 3

Reporting rates (in %) per cluster I-X.

Estimated reporting rates () from the best-fitting model. Left: spatial distribution of reporting rates across clusters. Right: relationship between cluster distance to Lwak Mission Hospital and reporting rate. The base map is derived from population-based infectious disease surveillance (PBIDS) shapefiles provided by the Kenya Medical Research Institute (KEMRI). The map was generated in R (version 4.4.2) using the ggplot2 package.

doi: https://doi.org/10.1371/journal.pcbi.1014004.g003