The South African COVID-19 Modelling Consortium (SACMC) is a group of researchers from academic, non-profit, and government institutions across South Africa. The group is coordinated by the National Institute for Communicable Diseases, on behalf of the National Department of Health. The mandate of the group is to provide, assess, and validate model projections to be used for planning purposes by the Government of South Africa.
The National COVID-19 Epi Model (NCEM) is a stochastic compartmental transmission model to estimate the total and reported incidence of COVID-19 in the nine provinces of South Africa. The outputs of the model may be used to inform resource requirements and predict where gaps could arise based on the available resources within the South African health system. The model follows a generalised Susceptible-Exposed-Infectious-Recovered (SEIR) structure accounting for disease severity (asymptomatic, mild, severe and critical cases) and the treatment pathway (outpatients, non-ICU and ICU beds). Core contributors to the NCEM include researchers from the following institutions:
On 19 May 2020, the SACMC released two reports:
The code and data for the analyses presented in these reports are available for download here.
MD5 check:
51bb53df599213b4fa2552ae0416987b
Some rights reserved (2020)
This work is shared under a CC-BY International 4.0 license. You may share and redistribute this material under the following conditions: you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. The full text of the license is available at https://creativecommons.org/licenses/by/4.0/legalcode.
On 5 September 2020, the SACMC released the following report:
The code and data for the analyses presented in these reports are available for download here:
MD5 check (.zip):
5ae62a55eef3aa68c4c521c91d7bfb63
MD5 check (.tar):c5f9953f79ab473517a0a74259b36723
Some rights reserved (2023)
This work is shared under a CC-BY International 4.0 license. You may share and redistribute this material under the following conditions: you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. The full text of the license is available at https://creativecommons.org/licenses/by/4.0/legalcode.
In 2021, SACMC released the following reports:
The code and data for the analyses presented in these reports are available for download here:
Some rights reserved (2024)
This work is shared under a CC-BY International 4.0 license. You may share and redistribute this material under the following conditions: you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. The full text of the license is available at https://creativecommons.org/licenses/by/4.0/legalcode.