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Researchers at the London School of Hygiene & Tropical Medicine doing research to forecast infectious diseases and perform real-time analyses.

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.


  1. EpiNow2 Public

    Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

    R 96 29

  2. 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, hospitalisa…

    R 37 19

  3. Trust-level COVID-19 hospitalisations in England

    R 8 3

  4. socialmixr Public

    R package for deriving social mixing matrices from survey data.

    R 32 9

  5. In this work, we use S-gene target failure (SGTF) as a proxy of variant status combined with reported case counts to explore the evidence for changes in transmission advantage over time for the Omi…

    R 15 4

  6. Utilities for Scoring and Assessing Predictions

    R 32 14


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