IDExtremes - R package

The tool is based on a Bayesian statistical modelling framework and provides functionalities for performing exploratory analysis, fitting spatiotemporal models, testing and validating the predictive ability of the models, and forecasting the probability of a disease outbreak. Additionally, the tool includes functions to visualise outputs for all modelling steps and final predictions. Its flexible design allows users to input both observed (long-lag) and forecast (short-lag) hydrometeorological indicators, such as drought and flood indicators, and output the probability of an outbreak of a given climate-sensitive disease (e.g., dengue, malaria, or leptospirosis) several months in advance.