Cargando…

Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic

As of 03 January 2021, the WHO African region is the least affected by the coronavirus disease-2019 (COVID-19) pandemic, accounting for only 2.4% of cases and deaths reported globally. However, concerns abound about whether the number of cases and deaths reported from the region reflect the true bur...

Descripción completa

Detalles Bibliográficos
Autores principales: Impouma, Benido, Mboussou, Franck, Shahpar, Cyrus, Wolfe, Caitlin M., Farham, Bridget, Williams, George Sie, Karamagi, Humphrey, Ngom, Roland, Nsenga, Ngoy, Flahault, Antoine, Codeço, Cláudia Torres, Yoti, Zabulon, Kasolo, Francis, Keiser, Olivia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712927/
https://www.ncbi.nlm.nih.gov/pubmed/34732273
http://dx.doi.org/10.1017/S0950268821002417
_version_ 1784623666001084416
author Impouma, Benido
Mboussou, Franck
Shahpar, Cyrus
Wolfe, Caitlin M.
Farham, Bridget
Williams, George Sie
Karamagi, Humphrey
Ngom, Roland
Nsenga, Ngoy
Flahault, Antoine
Codeço, Cláudia Torres
Yoti, Zabulon
Kasolo, Francis
Keiser, Olivia
author_facet Impouma, Benido
Mboussou, Franck
Shahpar, Cyrus
Wolfe, Caitlin M.
Farham, Bridget
Williams, George Sie
Karamagi, Humphrey
Ngom, Roland
Nsenga, Ngoy
Flahault, Antoine
Codeço, Cláudia Torres
Yoti, Zabulon
Kasolo, Francis
Keiser, Olivia
author_sort Impouma, Benido
collection PubMed
description As of 03 January 2021, the WHO African region is the least affected by the coronavirus disease-2019 (COVID-19) pandemic, accounting for only 2.4% of cases and deaths reported globally. However, concerns abound about whether the number of cases and deaths reported from the region reflect the true burden of the disease and how the monitoring of the pandemic trajectory can inform response measures. We retrospectively estimated four key epidemiological parameters (the total number of cases, the number of missed cases, the detection rate and the cumulative incidence) using the COVID-19 prevalence calculator tool developed by Resolve to Save Lives. We used cumulative cases and deaths reported during the period 25 February to 31 December 2020 for each WHO Member State in the region as well as population data to estimate the four parameters of interest. The estimated number of confirmed cases in 42 countries out of 47 of the WHO African region included in this study was 13 947 631 [95% confidence interval (CI): 13 334 620–14 635 502] against 1 889 512 cases reported, representing 13.5% of overall detection rate (range: 4.2% in Chad, 43.9% in Guinea). The cumulative incidence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was estimated at 1.38% (95% CI: 1.31%–1.44%), with South Africa the highest [14.5% (95% CI: 13.9%–15.2%)] and Mauritius [0.1% (95% CI: 0.099%–0.11%)] the lowest. The low detection rate found in most countries of the WHO African region suggests the need to strengthen SARS-CoV-2 testing capacities and adjusting testing strategies.
format Online
Article
Text
id pubmed-8712927
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-87129272021-12-28 Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic Impouma, Benido Mboussou, Franck Shahpar, Cyrus Wolfe, Caitlin M. Farham, Bridget Williams, George Sie Karamagi, Humphrey Ngom, Roland Nsenga, Ngoy Flahault, Antoine Codeço, Cláudia Torres Yoti, Zabulon Kasolo, Francis Keiser, Olivia Epidemiol Infect Original Paper As of 03 January 2021, the WHO African region is the least affected by the coronavirus disease-2019 (COVID-19) pandemic, accounting for only 2.4% of cases and deaths reported globally. However, concerns abound about whether the number of cases and deaths reported from the region reflect the true burden of the disease and how the monitoring of the pandemic trajectory can inform response measures. We retrospectively estimated four key epidemiological parameters (the total number of cases, the number of missed cases, the detection rate and the cumulative incidence) using the COVID-19 prevalence calculator tool developed by Resolve to Save Lives. We used cumulative cases and deaths reported during the period 25 February to 31 December 2020 for each WHO Member State in the region as well as population data to estimate the four parameters of interest. The estimated number of confirmed cases in 42 countries out of 47 of the WHO African region included in this study was 13 947 631 [95% confidence interval (CI): 13 334 620–14 635 502] against 1 889 512 cases reported, representing 13.5% of overall detection rate (range: 4.2% in Chad, 43.9% in Guinea). The cumulative incidence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was estimated at 1.38% (95% CI: 1.31%–1.44%), with South Africa the highest [14.5% (95% CI: 13.9%–15.2%)] and Mauritius [0.1% (95% CI: 0.099%–0.11%)] the lowest. The low detection rate found in most countries of the WHO African region suggests the need to strengthen SARS-CoV-2 testing capacities and adjusting testing strategies. Cambridge University Press 2021-11-04 /pmc/articles/PMC8712927/ /pubmed/34732273 http://dx.doi.org/10.1017/S0950268821002417 Text en © The Author(s) 2021 https://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, provided the original article is properly cited.
spellingShingle Original Paper
Impouma, Benido
Mboussou, Franck
Shahpar, Cyrus
Wolfe, Caitlin M.
Farham, Bridget
Williams, George Sie
Karamagi, Humphrey
Ngom, Roland
Nsenga, Ngoy
Flahault, Antoine
Codeço, Cláudia Torres
Yoti, Zabulon
Kasolo, Francis
Keiser, Olivia
Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic
title Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic
title_full Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic
title_fullStr Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic
title_full_unstemmed Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic
title_short Estimating the SARS-CoV2 infections detection rate and cumulative incidence in the World Health Organization African Region 10 months into the pandemic
title_sort estimating the sars-cov2 infections detection rate and cumulative incidence in the world health organization african region 10 months into the pandemic
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712927/
https://www.ncbi.nlm.nih.gov/pubmed/34732273
http://dx.doi.org/10.1017/S0950268821002417
work_keys_str_mv AT impoumabenido estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT mboussoufranck estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT shahparcyrus estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT wolfecaitlinm estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT farhambridget estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT williamsgeorgesie estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT karamagihumphrey estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT ngomroland estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT nsengangoy estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT flahaultantoine estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT codecoclaudiatorres estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT yotizabulon estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT kasolofrancis estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic
AT keiserolivia estimatingthesarscov2infectionsdetectionrateandcumulativeincidenceintheworldhealthorganizationafricanregion10monthsintothepandemic