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Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: A rigid population to source for workforce amidst the pandemic?
This study established segments among African countries to show the hierarchies of COVID-19 infection and death rates across the continent before the commencement of vaccination. Four clusters were extracted, each consisting of countries with a similar number of cumulative infections and deaths per...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632243/ https://www.ncbi.nlm.nih.gov/pubmed/36345397 http://dx.doi.org/10.1016/j.sciaf.2022.e01430 |
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author | Atsa'am, Donald Douglas Wario, Ruth |
author_facet | Atsa'am, Donald Douglas Wario, Ruth |
author_sort | Atsa'am, Donald Douglas |
collection | PubMed |
description | This study established segments among African countries to show the hierarchies of COVID-19 infection and death rates across the continent before the commencement of vaccination. Four clusters were extracted, each consisting of countries with a similar number of cumulative infections and deaths per 100 thousand population. When compared with the pre-vaccination figures from Europe, Americas, and Asia, it was observed that the African population exhibited a good level of rigidity and resilience to the pandemic, pre-vaccination. Majority of African countries - evaluating to 84% - were clustered into the segment with low infection and low death rates. Only 4% of the countries were clustered into the higher infection and highest death rates segment. This is an indication of the rigidity of a greater part of the African population to COVID-19 before vaccination. To forestall total business shutdown in the event of a similar pandemic in the future, multinational corporations could explore their workforce from the African population given the level of rigidity exhibited pre-vaccination. |
format | Online Article Text |
id | pubmed-9632243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96322432022-11-03 Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: A rigid population to source for workforce amidst the pandemic? Atsa'am, Donald Douglas Wario, Ruth Sci Afr Article This study established segments among African countries to show the hierarchies of COVID-19 infection and death rates across the continent before the commencement of vaccination. Four clusters were extracted, each consisting of countries with a similar number of cumulative infections and deaths per 100 thousand population. When compared with the pre-vaccination figures from Europe, Americas, and Asia, it was observed that the African population exhibited a good level of rigidity and resilience to the pandemic, pre-vaccination. Majority of African countries - evaluating to 84% - were clustered into the segment with low infection and low death rates. Only 4% of the countries were clustered into the higher infection and highest death rates segment. This is an indication of the rigidity of a greater part of the African population to COVID-19 before vaccination. To forestall total business shutdown in the event of a similar pandemic in the future, multinational corporations could explore their workforce from the African population given the level of rigidity exhibited pre-vaccination. The Author(s). Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. 2022-11 2022-11-03 /pmc/articles/PMC9632243/ /pubmed/36345397 http://dx.doi.org/10.1016/j.sciaf.2022.e01430 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Atsa'am, Donald Douglas Wario, Ruth Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: A rigid population to source for workforce amidst the pandemic? |
title | Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: A rigid population to source for workforce amidst the pandemic? |
title_full | Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: A rigid population to source for workforce amidst the pandemic? |
title_fullStr | Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: A rigid population to source for workforce amidst the pandemic? |
title_full_unstemmed | Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: A rigid population to source for workforce amidst the pandemic? |
title_short | Segmentation of African countries based on infection and death rates of COVID-19 before vaccination: A rigid population to source for workforce amidst the pandemic? |
title_sort | segmentation of african countries based on infection and death rates of covid-19 before vaccination: a rigid population to source for workforce amidst the pandemic? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632243/ https://www.ncbi.nlm.nih.gov/pubmed/36345397 http://dx.doi.org/10.1016/j.sciaf.2022.e01430 |
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