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The basic reproduction number of COVID-19 across Africa

The pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) took the world by surprise. Following the first outbreak of COVID-19 in December 2019, several models have been developed to study and understand its transmission dynamics. Although the spread of COVID-19 is being slowe...

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Autores principales: Iyaniwura, Sarafa A., Rabiu, Musa, David, Jummy F., Kong, Jude D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880647/
https://www.ncbi.nlm.nih.gov/pubmed/35213645
http://dx.doi.org/10.1371/journal.pone.0264455
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author Iyaniwura, Sarafa A.
Rabiu, Musa
David, Jummy F.
Kong, Jude D.
author_facet Iyaniwura, Sarafa A.
Rabiu, Musa
David, Jummy F.
Kong, Jude D.
author_sort Iyaniwura, Sarafa A.
collection PubMed
description The pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) took the world by surprise. Following the first outbreak of COVID-19 in December 2019, several models have been developed to study and understand its transmission dynamics. Although the spread of COVID-19 is being slowed down by vaccination and other interventions, there is still a need to have a clear understanding of the evolution of the pandemic across countries, states and communities. To this end, there is a need to have a clearer picture of the initial spread of the disease in different regions. In this project, we used a simple SEIR model and a Bayesian inference framework to estimate the basic reproduction number of COVID-19 across Africa. Our estimates vary between 1.98 (Sudan) and 9.66 (Mauritius), with a median of 3.67 (90% CrI: 3.31–4.12). The estimates provided in this paper will help to inform COVID-19 modeling in the respective countries/regions.
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spelling pubmed-88806472022-02-26 The basic reproduction number of COVID-19 across Africa Iyaniwura, Sarafa A. Rabiu, Musa David, Jummy F. Kong, Jude D. PLoS One Research Article The pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) took the world by surprise. Following the first outbreak of COVID-19 in December 2019, several models have been developed to study and understand its transmission dynamics. Although the spread of COVID-19 is being slowed down by vaccination and other interventions, there is still a need to have a clear understanding of the evolution of the pandemic across countries, states and communities. To this end, there is a need to have a clearer picture of the initial spread of the disease in different regions. In this project, we used a simple SEIR model and a Bayesian inference framework to estimate the basic reproduction number of COVID-19 across Africa. Our estimates vary between 1.98 (Sudan) and 9.66 (Mauritius), with a median of 3.67 (90% CrI: 3.31–4.12). The estimates provided in this paper will help to inform COVID-19 modeling in the respective countries/regions. Public Library of Science 2022-02-25 /pmc/articles/PMC8880647/ /pubmed/35213645 http://dx.doi.org/10.1371/journal.pone.0264455 Text en © 2022 Iyaniwura et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Iyaniwura, Sarafa A.
Rabiu, Musa
David, Jummy F.
Kong, Jude D.
The basic reproduction number of COVID-19 across Africa
title The basic reproduction number of COVID-19 across Africa
title_full The basic reproduction number of COVID-19 across Africa
title_fullStr The basic reproduction number of COVID-19 across Africa
title_full_unstemmed The basic reproduction number of COVID-19 across Africa
title_short The basic reproduction number of COVID-19 across Africa
title_sort basic reproduction number of covid-19 across africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880647/
https://www.ncbi.nlm.nih.gov/pubmed/35213645
http://dx.doi.org/10.1371/journal.pone.0264455
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