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Africa’s low COVID-19 mortality rate: A paradox?

BACKGROUND: COVID-19 continues to spread worldwide, with high numbers of fatalities reported first in China, followed by even higher numbers in Italy, Spain, the UK, the USA, and other advanced countries. Most African countries, even with their less advanced healthcare systems, continue to experienc...

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Autor principal: Lawal, Yakubu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566670/
https://www.ncbi.nlm.nih.gov/pubmed/33075535
http://dx.doi.org/10.1016/j.ijid.2020.10.038
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author Lawal, Yakubu
author_facet Lawal, Yakubu
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description BACKGROUND: COVID-19 continues to spread worldwide, with high numbers of fatalities reported first in China, followed by even higher numbers in Italy, Spain, the UK, the USA, and other advanced countries. Most African countries, even with their less advanced healthcare systems, continue to experience lower COVID-19 mortality rates. This was the case as the pandemic reached its first peak, plateaued, and declined. It is currently rising again in some countries, though not as rapidly as before. This study aimed to determine the predictors of COVID-19 mortality rate. This may help explain why Africa’s COVID-19 mortality rate is, ironically, lower than that of more advanced countries with better health systems. This will also assist various governments in balancing their COVID-19 restrictive and socioeconomic measures. METHODOLOGY: This was an analytical review, which used pre-COVID-19 era population data and current COVID-19 mortality figures to determine predictors of COVID-19 mortality rates. Pearson’s correlation was used to test the association between some population variables and COVID-19 mortality rates. Next, stepwise multiple regression analysis was used to determine significant predictors of COVID-19 mortality rates. RESULTS: Significant positive predictors of COVID-19 mortality rate included pre-COVID-19 era ‘65-yr+ mortality %’ (R(2) = 0.574, B = 2.86, p < 0.001), population mean age (R(2) = 0.570, B = 4.77, p = 0.001), and life expectancy (R(2) = 0.524, B = 1.67, p = 0.008). Pre-COVID-19 era CVD death rate was a negative predictor of COVID-19 mortality rate (R(2) = 0.524, B = −0.584, p = 0.012). CONCLUSION: Africa’s lower COVID-19 mortality rate is due to the lower population mean age, lower life expectancy, lower pre-COVID-19 era ‘65yr+ mortality rate’, and smaller pool of people surviving and living with cardiovascular diseases.
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spelling pubmed-75666702020-10-19 Africa’s low COVID-19 mortality rate: A paradox? Lawal, Yakubu Int J Infect Dis Article BACKGROUND: COVID-19 continues to spread worldwide, with high numbers of fatalities reported first in China, followed by even higher numbers in Italy, Spain, the UK, the USA, and other advanced countries. Most African countries, even with their less advanced healthcare systems, continue to experience lower COVID-19 mortality rates. This was the case as the pandemic reached its first peak, plateaued, and declined. It is currently rising again in some countries, though not as rapidly as before. This study aimed to determine the predictors of COVID-19 mortality rate. This may help explain why Africa’s COVID-19 mortality rate is, ironically, lower than that of more advanced countries with better health systems. This will also assist various governments in balancing their COVID-19 restrictive and socioeconomic measures. METHODOLOGY: This was an analytical review, which used pre-COVID-19 era population data and current COVID-19 mortality figures to determine predictors of COVID-19 mortality rates. Pearson’s correlation was used to test the association between some population variables and COVID-19 mortality rates. Next, stepwise multiple regression analysis was used to determine significant predictors of COVID-19 mortality rates. RESULTS: Significant positive predictors of COVID-19 mortality rate included pre-COVID-19 era ‘65-yr+ mortality %’ (R(2) = 0.574, B = 2.86, p < 0.001), population mean age (R(2) = 0.570, B = 4.77, p = 0.001), and life expectancy (R(2) = 0.524, B = 1.67, p = 0.008). Pre-COVID-19 era CVD death rate was a negative predictor of COVID-19 mortality rate (R(2) = 0.524, B = −0.584, p = 0.012). CONCLUSION: Africa’s lower COVID-19 mortality rate is due to the lower population mean age, lower life expectancy, lower pre-COVID-19 era ‘65yr+ mortality rate’, and smaller pool of people surviving and living with cardiovascular diseases. The Author. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021-01 2020-10-16 /pmc/articles/PMC7566670/ /pubmed/33075535 http://dx.doi.org/10.1016/j.ijid.2020.10.038 Text en © 2020 The Author 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
Lawal, Yakubu
Africa’s low COVID-19 mortality rate: A paradox?
title Africa’s low COVID-19 mortality rate: A paradox?
title_full Africa’s low COVID-19 mortality rate: A paradox?
title_fullStr Africa’s low COVID-19 mortality rate: A paradox?
title_full_unstemmed Africa’s low COVID-19 mortality rate: A paradox?
title_short Africa’s low COVID-19 mortality rate: A paradox?
title_sort africa’s low covid-19 mortality rate: a paradox?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566670/
https://www.ncbi.nlm.nih.gov/pubmed/33075535
http://dx.doi.org/10.1016/j.ijid.2020.10.038
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