Advancements in climate modeling have enabled epidemiologists to predict potential outbreaks by incorporating climatic variables. These models can forecast the likelihood of disease outbreaks based on predicted climate scenarios, aiding public health officials in preparing for and mitigating the impact of these events. However, the accuracy of such models depends on the quality of the data and the assumptions made.
