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 125 repositories
- evalvariantnowcasthub Public
A code repository to characterise and evaluate data and nowcasts on SARS-CoV-2 variant dynamics in the U.S. from the U.S. variant nowcast hub
- epinow2cast Public
- Ebola-Expert-Interviews Public archive
Analysis of the results from interviews with experts regarding the spatial spread of Ebola in North-Kivu (2019/20)
- covidregionaldata Public archive
An interface to subnational and national level COVID-19 data. For all countries supported, this includes a daily time-series of cases. Wherever available we also provide data on deaths, hospitalisations, and tests. National level data is also supported using a range of data sources as well as linelist data and links to intervention data sets.
- Ebola-Expert-Elicitation Public archive
Evaluation of spatial forecasts made by humans and models at the end of the 2018-20 Ebola epidemic in North-Kivu, DRC
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