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Simulating the progression of the COVID-19 disease in Cameroon using SIR models

This paper analyses the evolution of COVID-19 in Cameroon over the period March 6–April 2020 using SIR models. Specifically, we 1) evaluate the basic reproduction number of the virus, 2) determine the peak of the infection and the spread-out period of the disease, and 3) simulate the interventions o...

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Detalles Bibliográficos
Autores principales: Nguemdjo, Ulrich, Meno, Freeman, Dongfack, Audric, Ventelou, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447022/
https://www.ncbi.nlm.nih.gov/pubmed/32841283
http://dx.doi.org/10.1371/journal.pone.0237832
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author Nguemdjo, Ulrich
Meno, Freeman
Dongfack, Audric
Ventelou, Bruno
author_facet Nguemdjo, Ulrich
Meno, Freeman
Dongfack, Audric
Ventelou, Bruno
author_sort Nguemdjo, Ulrich
collection PubMed
description This paper analyses the evolution of COVID-19 in Cameroon over the period March 6–April 2020 using SIR models. Specifically, we 1) evaluate the basic reproduction number of the virus, 2) determine the peak of the infection and the spread-out period of the disease, and 3) simulate the interventions of public health authorities. Data used in this study is obtained from the Cameroonian Public Health Ministry. The results suggest that over the identified period, the reproduction number of COVID-19 in Cameroon is about 1.5, and the peak of the infection should have occurred at the end of May 2020 with about 7.7% of the population infected. Furthermore, the implementation of efficient public health policies could help flatten the epidemic curve.
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spelling pubmed-74470222020-08-31 Simulating the progression of the COVID-19 disease in Cameroon using SIR models Nguemdjo, Ulrich Meno, Freeman Dongfack, Audric Ventelou, Bruno PLoS One Research Article This paper analyses the evolution of COVID-19 in Cameroon over the period March 6–April 2020 using SIR models. Specifically, we 1) evaluate the basic reproduction number of the virus, 2) determine the peak of the infection and the spread-out period of the disease, and 3) simulate the interventions of public health authorities. Data used in this study is obtained from the Cameroonian Public Health Ministry. The results suggest that over the identified period, the reproduction number of COVID-19 in Cameroon is about 1.5, and the peak of the infection should have occurred at the end of May 2020 with about 7.7% of the population infected. Furthermore, the implementation of efficient public health policies could help flatten the epidemic curve. Public Library of Science 2020-08-25 /pmc/articles/PMC7447022/ /pubmed/32841283 http://dx.doi.org/10.1371/journal.pone.0237832 Text en © 2020 Nguemdjo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nguemdjo, Ulrich
Meno, Freeman
Dongfack, Audric
Ventelou, Bruno
Simulating the progression of the COVID-19 disease in Cameroon using SIR models
title Simulating the progression of the COVID-19 disease in Cameroon using SIR models
title_full Simulating the progression of the COVID-19 disease in Cameroon using SIR models
title_fullStr Simulating the progression of the COVID-19 disease in Cameroon using SIR models
title_full_unstemmed Simulating the progression of the COVID-19 disease in Cameroon using SIR models
title_short Simulating the progression of the COVID-19 disease in Cameroon using SIR models
title_sort simulating the progression of the covid-19 disease in cameroon using sir models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447022/
https://www.ncbi.nlm.nih.gov/pubmed/32841283
http://dx.doi.org/10.1371/journal.pone.0237832
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