Abstract

The spatial and temporal trends of mosquitoborne diseases have been shifting. Recently, there has been an increase in cases of West Nile Fever across Germany. In this study, we investigated the spatial and temporal risk of West Nile virus transmission in Bavaria using a mathematical model. The model incorporated epidemiological, climatic, and bird distribution data. It generated spatially and temporally explicit graphs depicting the health states of mosquitoes and birds. Additionally, we produced risk maps identifying areas in Bavaria at heightened risk for West Nile virus transmission.