Flávio' Personal Page

My scientific accomplishments.

Mosqlimate

About Mosqlimate is a data science platform designed to produce usable forecasts of dengue burden, incorporating all available data sources with special attention to the impact of future climate trends. Goals Develop forecasting models for dengue incidence Integrate climate and epidemiological data Ensure reproducibility of the entire forecasting pipeline Track data, model source code, and predictions Funding This project is funded by the Wellcome Trust.

InfoDengue

About InfoDengue is a nowcasting system that organizes raw surveillance data generated by SUS into a well-organized data platform, generating weekly analytical reports for the public management of dengue, chikungunya, and Zika at federal, state, and municipal levels. Goals Real-time epidemiological surveillance of arboviruses Automated data collection and processing Weekly analytical reports for public health management Integration of multiple data sources (climatic, epidemiological, entomological) Funding This project is a partnership with Fiocruz and funded by the Brazilian Ministry of Health. Continue reading