- Published
- 2021-07-26
- Venue
- PLoS Computational Biology, vol. 17, no. 7, pp. e1009149
- Cited by
- 685
- Open access
- Yes, gold
- DOI
- 10.1371/journal.pcbi.1009149
- PubMed
- 34310589
Abstract
The COVID-19 pandemic has created an urgent need for models that can project epidemic trends, explore intervention scenarios, and estimate resource needs. Here we describe the methodology of Covasim (COVID-19 Agent-based Simulator), an open-source model developed to help address these questions. Covasim includes country-specific demographic information on age structure and population size; realistic transmission networks in different social layers, including households, schools, workplaces, long-term care facilities, and communities; age-specific disease outcomes; and intrahost viral dynamics, including viral-load-based transmissibility. Covasim also supports an extensive set of interventions, including non-pharmaceutical interventions, such as physical distancing and protective equipment; pharmaceutical interventions, including vaccination; and testing interventions, such as symptomatic and asymptomatic testing, isolation, contact tracing, and quarantine. These interventions can incorporate the effects of delays, loss-to-follow-up, micro-targeting, and other factors. Implemented in pure Python, Covasim has been designed with equal emphasis on performance, ease of use, and flexibility: realistic and highly customized scenarios can be run on a standard laptop in under a minute. In collaboration with local health agencies and policymakers, Covasim has already been applied to examine epidemic dynamics and inform policy decisions in more than a dozen countries in Africa, Asia-Pacific, Europe, and North America.
Cite this paper
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- APA 7
Kerr, C. C., Stuart, R. M., Mistry, D., Abeysuriya, R., Rosenfeld, K., Hart, G. R., Núñez, R. C., Cohen, J. A., Selvaraj, P., Hagedorn, B., George, L., Jastrzębski, M., Izzo, A. S., Fowler, G., Palmer, A. Y., Delport, D., Scott, N., Kelly, S. L., Bennette, C. S., … Klein, D. J. (2021). Covasim: An agent-based model of COVID-19 dynamics and interventions. PLoS Computational Biology, 17(7), e1009149. https://doi.org/10.1371/journal.pcbi.1009149
- MLA 9
Kerr, Cliff C., et al. "Covasim: An agent-based model of COVID-19 dynamics and interventions." PLoS Computational Biology, vol. 17, no. 7, 2021, pp. e1009149, https://doi.org/10.1371/journal.pcbi.1009149.
- Chicago
Kerr, Cliff C., Robyn M. Stuart, Dina Mistry, Romesh Abeysuriya, Katherine Rosenfeld, Gregory R. Hart, Rafael C. Núñez, et al. "Covasim: An agent-based model of COVID-19 dynamics and interventions." PLoS Computational Biology 17, no. 7 (2021): e1009149. https://doi.org/10.1371/journal.pcbi.1009149.
- GOST
Kerr C. C., Stuart R. M., Mistry D. [и др.] Covasim: An agent-based model of COVID-19 dynamics and interventions // PLoS Computational Biology. — 2021. — Vol. 17, № 7. — P. e1009149. — URL: https://doi.org/10.1371/journal.pcbi.1009149
- BibTeX
@article{kerr2021covasim, title = {{Covasim: An agent-based model of COVID-19 dynamics and interventions}}, author = {Cliff C. Kerr and Robyn M. Stuart and Dina Mistry and Romesh Abeysuriya and Katherine Rosenfeld and Gregory R. Hart and Rafael C. Núñez and Jamie A. Cohen and Prashanth Selvaraj and Brittany Hagedorn and Lauren George and Michał Jastrzębski and Amanda S Izzo and Greer Fowler and Anna Y. Palmer and Dominic Delport and Nick Scott and Sherrie L. Kelly and Caroline Savage Bennette and Bradley G. Wagner and Stewart T. Chang and Assaf P. Oron and Edward A. Wenger and Jasmina Panovska‐Griffiths and Michael Famulare and Daniel J. Klein}, journal = {PLoS Computational Biology}, year = {2021}, volume = {17}, number = {7}, pages = {e1009149}, doi = {10.1371/journal.pcbi.1009149}, url = {https://doi.org/10.1371/journal.pcbi.1009149} }- RIS
TY - JOUR AU - Kerr, Cliff C. AU - Stuart, Robyn M. AU - Mistry, Dina AU - Abeysuriya, Romesh AU - Rosenfeld, Katherine AU - Hart, Gregory R. AU - Núñez, Rafael C. AU - Cohen, Jamie A. AU - Selvaraj, Prashanth AU - Hagedorn, Brittany AU - George, Lauren AU - Jastrzębski, Michał AU - Izzo, Amanda S AU - Fowler, Greer AU - Palmer, Anna Y. AU - Delport, Dominic AU - Scott, Nick AU - Kelly, Sherrie L. AU - Bennette, Caroline Savage AU - Wagner, Bradley G. AU - Chang, Stewart T. AU - Oron, Assaf P. AU - Wenger, Edward A. AU - Panovska‐Griffiths, Jasmina AU - Famulare, Michael AU - Klein, Daniel J. TI - Covasim: An agent-based model of COVID-19 dynamics and interventions JO - PLoS Computational Biology VL - 17 IS - 7 SP - e1009149 PY - 2021 DA - 2021/07/26 DO - 10.1371/journal.pcbi.1009149 UR - https://doi.org/10.1371/journal.pcbi.1009149 ER -
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