CovidSim

CovidSim
Original author(s)	Neil Ferguson
Repository	https://github.com/mrc-ide/covid-sim
Written in	C++
License	GNU General Public License v3.0

CovidSim is an epidemiological model for COVID-19 developed by Imperial College COVID-19 Response Team, led by Neil Ferguson.^[1] The Imperial College study addresses the question: If complete suppression is not feasible, what is the best strategy combining incomplete suppression and control that is feasible and leads to acceptable outcomes?^[2]

^ Adam D (April 2020). "Special report: The simulations driving the world's response to COVID-19". Nature. 580 (7803): 316–318. Bibcode:2020Natur.580..316A. doi:10.1038/d41586-020-01003-6. PMID 32242115. S2CID 214771531.
^ Eubank S, Eckstrand I, Lewis B, Venkatramanan S, Marathe M, Barrett CL (April 2020). "Commentary on Ferguson, et al., "Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand"". Bulletin of Mathematical Biology. 82 (4): 52. doi:10.1007/s11538-020-00726-x. PMC 7140590. PMID 32270376. Text was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.

[:1-1] Adam D (April 2020). "Special report: The simulations driving the world's response to COVID-19". Nature. 580 (7803): 316–318. Bibcode:2020Natur.580..316A. doi:10.1038/d41586-020-01003-6. PMID 32242115. S2CID 214771531.

[:2-2] Eubank S, Eckstrand I, Lewis B, Venkatramanan S, Marathe M, Barrett CL (April 2020). "Commentary on Ferguson, et al., "Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand"". Bulletin of Mathematical Biology. 82 (4): 52. doi:10.1007/s11538-020-00726-x. PMC 7140590. PMID 32270376. Text was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.

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