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The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa

Corona virus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first detected in the city of Wuhan, China in December 2019. Although, the disease appeared in Africa later than other regions, it has now spread to virtually all countries on...

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Autores principales: Gayawan, Ezra, Awe, Olushina O., Oseni, Bamidele M., Uzochukwu, Ikemefuna C., Adekunle, Adeshina, Samuel, Gbemisola, Eisen, Damon P., Adegboye, Oyelola A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506177/
https://www.ncbi.nlm.nih.gov/pubmed/32873352
http://dx.doi.org/10.1017/S0950268820001983
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author Gayawan, Ezra
Awe, Olushina O.
Oseni, Bamidele M.
Uzochukwu, Ikemefuna C.
Adekunle, Adeshina
Samuel, Gbemisola
Eisen, Damon P.
Adegboye, Oyelola A.
author_facet Gayawan, Ezra
Awe, Olushina O.
Oseni, Bamidele M.
Uzochukwu, Ikemefuna C.
Adekunle, Adeshina
Samuel, Gbemisola
Eisen, Damon P.
Adegboye, Oyelola A.
author_sort Gayawan, Ezra
collection PubMed
description Corona virus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first detected in the city of Wuhan, China in December 2019. Although, the disease appeared in Africa later than other regions, it has now spread to virtually all countries on the continent. We provide early spatio-temporal dynamics of COVID-19 within the first 62 days of the disease's appearance on the African continent. We used a two-parameter hurdle Poisson model to simultaneously analyse the zero counts and the frequency of occurrence. We investigate the effects of important healthcare capacities including hospital beds and number of medical doctors in different countries. The results show that cases of the pandemic vary geographically across Africa with notably high incidence in neighbouring countries particularly in West and North Africa. The burden of the disease (per 100 000) mostly impacted Djibouti, Tunisia, Morocco and Algeria. Temporally, during the first 4 weeks, the burden was highest in Senegal, Egypt and Mauritania, but by mid-April it shifted to Somalia, Chad, Guinea, Tanzania, Gabon, Sudan and Zimbabwe. Currently, Namibia, Angola, South Sudan, Burundi and Uganda have the least burden. These findings could be useful in guiding epidemiological interventions and the allocation of scarce resources based on heterogeneity of the disease patterns.
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spelling pubmed-75061772020-09-22 The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa Gayawan, Ezra Awe, Olushina O. Oseni, Bamidele M. Uzochukwu, Ikemefuna C. Adekunle, Adeshina Samuel, Gbemisola Eisen, Damon P. Adegboye, Oyelola A. Epidemiol Infect Original Paper Corona virus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first detected in the city of Wuhan, China in December 2019. Although, the disease appeared in Africa later than other regions, it has now spread to virtually all countries on the continent. We provide early spatio-temporal dynamics of COVID-19 within the first 62 days of the disease's appearance on the African continent. We used a two-parameter hurdle Poisson model to simultaneously analyse the zero counts and the frequency of occurrence. We investigate the effects of important healthcare capacities including hospital beds and number of medical doctors in different countries. The results show that cases of the pandemic vary geographically across Africa with notably high incidence in neighbouring countries particularly in West and North Africa. The burden of the disease (per 100 000) mostly impacted Djibouti, Tunisia, Morocco and Algeria. Temporally, during the first 4 weeks, the burden was highest in Senegal, Egypt and Mauritania, but by mid-April it shifted to Somalia, Chad, Guinea, Tanzania, Gabon, Sudan and Zimbabwe. Currently, Namibia, Angola, South Sudan, Burundi and Uganda have the least burden. These findings could be useful in guiding epidemiological interventions and the allocation of scarce resources based on heterogeneity of the disease patterns. Cambridge University Press 2020-09-02 /pmc/articles/PMC7506177/ /pubmed/32873352 http://dx.doi.org/10.1017/S0950268820001983 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Gayawan, Ezra
Awe, Olushina O.
Oseni, Bamidele M.
Uzochukwu, Ikemefuna C.
Adekunle, Adeshina
Samuel, Gbemisola
Eisen, Damon P.
Adegboye, Oyelola A.
The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa
title The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa
title_full The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa
title_fullStr The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa
title_full_unstemmed The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa
title_short The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa
title_sort spatio-temporal epidemic dynamics of covid-19 outbreak in africa
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506177/
https://www.ncbi.nlm.nih.gov/pubmed/32873352
http://dx.doi.org/10.1017/S0950268820001983
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