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Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa

The novel coronavirus (COVID-19) pandemic continues to be a global health problem whose impact has been significantly felt in South Africa. With the global spread increasing and infecting millions, containment efforts by countries have largely focused on lockdowns and social distancing to minimise c...

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Detalles Bibliográficos
Autores principales: Nyabadza, F., Chirove, F., Chukwu, C. W., Visaya, M. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647790/
https://www.ncbi.nlm.nih.gov/pubmed/33178332
http://dx.doi.org/10.1155/2020/5379278
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author Nyabadza, F.
Chirove, F.
Chukwu, C. W.
Visaya, M. V.
author_facet Nyabadza, F.
Chirove, F.
Chukwu, C. W.
Visaya, M. V.
author_sort Nyabadza, F.
collection PubMed
description The novel coronavirus (COVID-19) pandemic continues to be a global health problem whose impact has been significantly felt in South Africa. With the global spread increasing and infecting millions, containment efforts by countries have largely focused on lockdowns and social distancing to minimise contact between persons. Social distancing has been touted as the best form of response in managing a rapid increase in the number of infected cases. In this paper, we present a deterministic model to describe the impact of social distancing on the transmission dynamics of COVID-19 in South Africa. The model is fitted to data from March 5 to April 13, 2020, on the cumulative number of infected cases, and a scenario analysis on different levels of social distancing is presented. The model shows that with the levels of social distancing under the initial lockdown level between March 26 and April 13, 2020, there would be a projected continued rise in the number of infected cases. The model also looks at the impact of relaxing the social distancing measures after the initial announcement of the lockdown. It is shown that relaxation of social distancing by 2% can result in a 23% rise in the number of cumulative cases whilst an increase in the level of social distancing by 2% would reduce the number of cumulative cases by about 18%. The model results accurately predicted the number of cases after the initial lockdown level was relaxed towards the end of April 2020. These results have implications on the management and policy direction in the early phase of the epidemic.
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spelling pubmed-76477902020-11-10 Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa Nyabadza, F. Chirove, F. Chukwu, C. W. Visaya, M. V. Comput Math Methods Med Research Article The novel coronavirus (COVID-19) pandemic continues to be a global health problem whose impact has been significantly felt in South Africa. With the global spread increasing and infecting millions, containment efforts by countries have largely focused on lockdowns and social distancing to minimise contact between persons. Social distancing has been touted as the best form of response in managing a rapid increase in the number of infected cases. In this paper, we present a deterministic model to describe the impact of social distancing on the transmission dynamics of COVID-19 in South Africa. The model is fitted to data from March 5 to April 13, 2020, on the cumulative number of infected cases, and a scenario analysis on different levels of social distancing is presented. The model shows that with the levels of social distancing under the initial lockdown level between March 26 and April 13, 2020, there would be a projected continued rise in the number of infected cases. The model also looks at the impact of relaxing the social distancing measures after the initial announcement of the lockdown. It is shown that relaxation of social distancing by 2% can result in a 23% rise in the number of cumulative cases whilst an increase in the level of social distancing by 2% would reduce the number of cumulative cases by about 18%. The model results accurately predicted the number of cases after the initial lockdown level was relaxed towards the end of April 2020. These results have implications on the management and policy direction in the early phase of the epidemic. Hindawi 2020-10-29 /pmc/articles/PMC7647790/ /pubmed/33178332 http://dx.doi.org/10.1155/2020/5379278 Text en Copyright © 2020 F. Nyabadza et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nyabadza, F.
Chirove, F.
Chukwu, C. W.
Visaya, M. V.
Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa
title Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa
title_full Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa
title_fullStr Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa
title_full_unstemmed Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa
title_short Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa
title_sort modelling the potential impact of social distancing on the covid-19 epidemic in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647790/
https://www.ncbi.nlm.nih.gov/pubmed/33178332
http://dx.doi.org/10.1155/2020/5379278
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