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COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
| Date | Stars |
|---|---|
| 2026-07-25 | 288 |
| 2026-07-28 | 288 |
| 2026-07-30 | 288 |
| 2026-07-31 | 288 |
| 2026-08-06 | 288 |
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# Covasim ## About Covasim Covasim is a stochastic agent-based simulator for performing COVID-19 analyses. These include projections of indicators such as numbers of infections and peak hospital demand. Covasim can also be used to explore the potential impact of different interventions, including social distancing, school closures, testing, contact tracing, quarantine, and vaccination. The original scientific paper describing Covasim is available at <http://paper.covasim.org>. The recommended citation is: > **Covasim: an agent-based model of COVID-19 dynamics and interventions**. Kerr CC, Stuart RM, Mistry D, Abeysuriya RG, Rosenfeld R, Hart G, Núñez RC, Cohen JA, Selvaraj P, Hagedorn B, George L, Jastrzębski M, Izzo A, Fowler G, Palmer A, Delport D, Scott N, Kelly S, Bennette C, Wagner B, Chang S, Oron AP, Wenger E, Panovska-Griffiths J, Famulare M, Klein DJ (2021). *PLOS Computational Biology* **17** (7): e1009149. doi: <https://doi.org/10.1371/journal.pcbi.1009149>. Covasim's immunity module (including vaccines and variants) is described here: > **Mechanistic modeling of SARS-CoV-2 immune memory, variants, and vaccines**. Cohen JA, Stuart RM, Núñez RC, Wagner B, Chang ST, Rosenfeld K, Kerr CC, Famulare M, Klein DJ (2021). *medRxiv* 2021.05.31.21258018; doi: <https://doi.org/10.1101/2021.05.31.21258018>. The Covasim webapp is available at <https://app.covasim.org>, and the repository for it is available [here](https://github.com/covasim/covasim_webapp). Covasim was developed by the [Institute for Disease Modeling](https://idmod.org/), with additional contributions from the [University of Copenhagen](https://www.math.ku.dk/english), the [Burnet Institute](https://www.burnet.edu.au/), [GitHub](https://github.com/), and [Microsoft](https://www.microsoft.com/en-us/ai/ai-for-health-covid-data). Questions or comments can be directed to <[email protected]>, or on this project's [GitHub](https://github.com/starsimhub/covasim) page. Full information about Covasim is provided in the [documentation](https://docs.covasim.org). **Note:** Covasim is now part of the Starsim framework; please see [starsim.org](https://starsim.org) for our current work on agent-based disease modeling. ## Background Covasim has been used for analyses in over a dozen countries, both to inform policy decisions (including in the US, UK, and Australia), and as part of research studies. Some key papers that have been written using Covasim include: 1. **Controlling COVID-19 via test-trace-quarantine**. Kerr CC, Mistry D, Stuart RM, Rosenfeld R, Hart G, Núñez RC, Selvaraj P, Cohen JA, Abeysuriya RG, George L, Hagedorn B, Jastrzębski M, Fagalde M, Duchin J, Famulare M, Klein DJ (2021). *Nature Communications* 12:2993. doi: <https://doi.org/10.1038/s41467-021-23276-9>. 2. **Determining the optimal strategy for reopening schools, the impact of test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave in the UK: a modelling study**. Panovska-Griffiths J, Kerr CC, Stuart RM, Mistry D, Klein DJ, Viner R, Bonnell C (2020-08-03). *Lancet Child and Adolescent Health* S2352-4642(20) 30250-9. doi: <https://doi.org/10.1016/S2352-4642(20)30250-9>. 3. **Estimating and mitigating the risk of COVID-19 epidemic rebound associated with reopening of international borders in Vietnam: a modelling study**. Pham QD, Stuart RM, Nguyen TV, Luong QC, Tran DQ, Phan LT, Dang TQ, Tran DN, Mistry D, Klein DJ, Abeysuriya RG, Oron AP, Kerr CC (2021-04-12). *Lancet Global Health* S2214-109X(21) 00103-0; doi: <https://doi.org/10.1016/S2214-109X(21)00103-0>. A more complete list of papers is given in [papers.md](papers.md). If you've written a paper or report using Covasim, we'd love to know about it! Please write to us [here](mailto:[email protected]). ## Requirements Python 3.9-3.13 (64-bit). We also recommend, but do not require, installing Covasim in a virtual environment. For more information, see documentation for e.g. [Anaconda](https://doc
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