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mrc-ide/covid-sim

This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London. observed · 2026-08-28

github.com/mrc-ide/covid-sim · C++ · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2353
  • days_rel: n/a
  • days_push: 1289
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1234 stars · 248 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

CovidSim is a C++ microsimulation model of COVID-19 transmission developed by Imperial College London's MRC Centre for Global Infectious Disease Analysis. It simulates how intervention policies and healthcare provision affect epidemic spread to produce quantitative forecasts of cases, deaths, and hospitalisations.

Use cases

  • simulate covid-19 spread in a structured population
  • forecast cases deaths and hospitalisations under intervention policies
  • model effects of social distancing on epidemic outcomes
  • model other respiratory viruses like influenza with parameter changes
  • run stochastic epidemic simulations with multiple seeds

When to choose

  • you need policy-relevant epidemic forecasts for COVID-19 or similar respiratory viruses
  • you want a spatially and socially structured individual-level disease model
  • you can provide the RAM and parameter inputs required for large-scale runs

When to avoid

  • you need a supported, stable tool - the code is released with no support and changing interfaces
  • you want a simple or small-scale model - UK runs need ~20GB RAM and some regions up to 256GB
  • you need endorsed outputs - only Imperial College's own generated outputs are endorsed

Facets

application · maturity maintenance

simulation cli math healthcare simulation data-science windows cpp cli cross-platform epidemiology covid-19 microsimulation infectious-disease-modeling public-health openmp scientific-computing linux

1 source

Member repositories

RepositoryRoleHealth v2
mrc-ide/covid-simmain32

For agents

markdown · JSON · MCP: product_card(name="mrc-ide/covid-sim")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem