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About

I'm Kath, a research fellow at the LSHTM in London. I work in the epiforecasts group, based in the Centre for Mathematical Modelling of Infectious Disease.

I focus on collaborative modelling - collecting, combining and evaluating the projections of multiple independent models - for real-time outbreak analysis. I worked on the development and evaluation of the European COVID-19 Forecast and Scenario Hubs, and before that, I worked on supporting the UK's emergency response to COVID-19. I previously training in epidemiology.

In general I'm interested in model evaluation and public health decision making, and the wider structures and processes of modelling work at the interface of science and policy.

Recent work

Contact

  • My social media handle is @kathsherratt
  • Email me at: katharine.sherratt (at) lshtm.ac.uk

Kath Sherratt's Projects

covid-delays icon covid-delays

exploring delay distributions in covid patient linelist

covid-regional icon covid-regional

This a submodule of epiforecasts/covid - see that repo for further information.

epinow icon epinow

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

epinowcast icon epinowcast

Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.

forecast.vocs icon forecast.vocs

Contains models and tools to produce short-term forecasts for both case and sequence notifications assuming circulation of either one or two variants. Tools are also provided to allow the evaluation of the use of sequence data for short-term forecasts in both real-world settings and in user generated scenarios.

ncovutils icon ncovutils

Utility functions for the 2019-NCoV outbreak

r-for-research icon r-for-research

Materials developed for a workshop at LSHTM introducing good practices using R for research

trust icon trust

An interactive guide to the game theory of cooperation

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