We are a research group based at the Centre for Mathematical Modelling of Infectious Diseases of the London School of Hygiene & Tropical Medicine developing methodology and tools for real-time modelling and forecasting of infectious disease outbreaks. We systematically assess these methods by their predictive ability and apply them in order to improve decision making. Ultimately, our goal is to develop and use robust methodology that makes the most of available resources to provide insights useful for outbreak response, control and prevention, and to make them available as tools to others.
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Researchers at the London School of Hygiene & Tropical Medicine doing research to forecast infectious diseases and perform real-time analyses.
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Repositories
Showing 10 of 130 repositories
- BVDOutbreakSize Public
Joint Bayesian generative Turing model for the 2026 DRC BVD outbreak. Combines exports, deaths and reported suspected cases (with ascertainment) in a single posterior. Includes a no-onward-transmission deaths lower bound.
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- bvd-capacity Public
When each Ebola treatment, transit and isolation facility appeared, opened and came under strain during the 2026 Bundibugyo virus disease outbreak in DRC, read from the INSP situation reports
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- bvd-sitreps Public
