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.
![](https://www.bsc.es/sites/default/files/public/styles/bscw2_-_simple_crop_style/public/bscw2/content/software-app/logo/captura_de_pantalla_102.png?itok=zTgoxyZt&sc=8ccde756f166679de9be52eb99b27176)
Contacto:
License:
GPL License (Version 2.0)