The Infodengue-Mosqlimate Dengue Challenge was a collaborative initiative conducted by the Infodengue and Mosqlimate platform teams, centered around the following guiding question:
What is the expected number of probable dengue cases in the upcoming season, both for Brazil as a whole and by individual Federation Units (UFs)?
The main objective of the Dengue Sprint was to support the development and training of predictive dengue models in Brazil and to provide forecasts for the upcoming season. The specific objectives were to:
Build a community of modelers aligned in objectives and methodology;
Train ensemble models using the collective forecasts from all participating teams to generate ensemble predictions;
Continuously update and monitor model performance.
To facilitate model development, the Mosqlimate Platform compiled a comprehensive dataset integrating epidemiological, demographic, and climate data. It also provided a GitHub-based submission template to standardize and aggregate forecasts into an ensemble model.
Blogposts
2nd InfoDengue–Mosqlimate Dengue Challenge (IMDC): Results of the Dengue Forecast Challenge in Brazil
The second InfoDengue–Mosqlimate Dengue Challenge (IMDC) brought together researchers and modeling teams from around the world with an ambitious goal: to improve dengue outbreak forecasts in Brazil using climatic and epidemiological data.
The IMDC results presentation event highlighted major technical advances and international collaboration in tackling mosquito-borne diseases. In the first part, the presenters shared the ensemble model results, which combine forecasts from multiple approaches to generate more robust estimates of dengue cases. The discussion covered performance comparisons, uncertainty analysis, and next steps to enhance the integration of climate and epidemiological data in forecasting models.
Results of the 2nd Infodengue-Mosqlimate Dengue Challenge
We have just released on YouTube the official recording of the validation round results of the 2nd Infodengue-Mosqlimate Dengue Challenge.
👉 Watch here: YouTube Video
The webinar brought together researchers, public health professionals, and data scientists to discuss the latest advances in forecasting dengue outbreaks in the context of climate change. The challenge aims to strengthen our ability to anticipate dengue epidemics by integrating epidemiological, climatic, and technological information to support better public health decisions.
Sprint 2025 webinar
Webinar – 2nd Infodengue-Mosqlimate Dengue Challenge (IMDC)
Attention, scientific community and public health professionals! On Wednesday, Sep 3, 2025 ⋅ 2pm – 3pm (Central European Time), join the virtual meeting of the 2nd Infodengue-Mosqlimate Dengue Challenge (IMDC). We will present the results of the validation round. This webinar will bring together researchers, health professionals, data scientists, and forecasters who have submitted predictive models to address a major global health challenge: predicting the burden of dengue, in the context of current global climate transformations.