Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available data

Introduction The current COVID-19 pandemic is a global threat. This elicits questions on the level of preparedness and capacity of health systems to respond to emergencies relative to other parts of the world.Methods This cross-sectional study uses publicly available core health data for 53 African...

Full description

Bibliographic Details
Main Authors: Kennedy Otwombe, Charles Okeahalam, Victor Williams
Format: Article
Language:English
Published: BMJ Publishing Group 2020-11-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/10/11/e042750.full
id doaj-dfd22612aed6477bafb42d2b52ba5256
record_format Article
spelling doaj-dfd22612aed6477bafb42d2b52ba52562021-06-25T12:33:58ZengBMJ Publishing GroupBMJ Open2044-60552020-11-01101110.1136/bmjopen-2020-042750Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available dataKennedy Otwombe0Charles Okeahalam1Victor Williams2Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg-Braamfontein, Gauteng, South AfricaSchool of Economics and Finance, Faculty of Commerce, University of the Witwatersrand, Johannesburg, South AfricaSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South AfricaIntroduction The current COVID-19 pandemic is a global threat. This elicits questions on the level of preparedness and capacity of health systems to respond to emergencies relative to other parts of the world.Methods This cross-sectional study uses publicly available core health data for 53 African countries to determine risk factors for cumulative COVID-19 deaths and cases per million in all countries in the continent. Descriptive statistics were determined for the indicators, and a negative binomial regression was used for modelling the risk factors.Results In sub-Saharan Africa, an increase in the number of nursing and midwifery personnel decreased the risk of COVID-19 deaths (p=0.0178), while a unit increase in universal healthcare (UHC) index of service coverage and prevalence of insufficient physical activity among adults increased the risk of COVID-19 deaths (p=0.0432 and p=0.0127). An increase in the proportion of infants initiating breast feeding reduced the number of cases per million (p<0.0001), while an increase in higher healthy life expectancy at birth increased the number of cases per million (p=0.0340).Conclusion Despite its limited resources, Africa’s preparedness and response to the COVID-19 pandemic can be improved by identifying and addressing specific gaps in the funding of health services delivery. These gaps impact negatively on service delivery in Africa, which requires more nursing personnel and increased UHC coverage to mitigate the effects of COVID-19.https://bmjopen.bmj.com/content/10/11/e042750.full
collection DOAJ
language English
format Article
sources DOAJ
author Kennedy Otwombe
Charles Okeahalam
Victor Williams
spellingShingle Kennedy Otwombe
Charles Okeahalam
Victor Williams
Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available data
BMJ Open
author_facet Kennedy Otwombe
Charles Okeahalam
Victor Williams
author_sort Kennedy Otwombe
title Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available data
title_short Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available data
title_full Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available data
title_fullStr Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available data
title_full_unstemmed Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available data
title_sort factors associated with covid-19 infections and mortality in africa: a cross-sectional study using publicly available data
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2020-11-01
description Introduction The current COVID-19 pandemic is a global threat. This elicits questions on the level of preparedness and capacity of health systems to respond to emergencies relative to other parts of the world.Methods This cross-sectional study uses publicly available core health data for 53 African countries to determine risk factors for cumulative COVID-19 deaths and cases per million in all countries in the continent. Descriptive statistics were determined for the indicators, and a negative binomial regression was used for modelling the risk factors.Results In sub-Saharan Africa, an increase in the number of nursing and midwifery personnel decreased the risk of COVID-19 deaths (p=0.0178), while a unit increase in universal healthcare (UHC) index of service coverage and prevalence of insufficient physical activity among adults increased the risk of COVID-19 deaths (p=0.0432 and p=0.0127). An increase in the proportion of infants initiating breast feeding reduced the number of cases per million (p<0.0001), while an increase in higher healthy life expectancy at birth increased the number of cases per million (p=0.0340).Conclusion Despite its limited resources, Africa’s preparedness and response to the COVID-19 pandemic can be improved by identifying and addressing specific gaps in the funding of health services delivery. These gaps impact negatively on service delivery in Africa, which requires more nursing personnel and increased UHC coverage to mitigate the effects of COVID-19.
url https://bmjopen.bmj.com/content/10/11/e042750.full
work_keys_str_mv AT kennedyotwombe factorsassociatedwithcovid19infectionsandmortalityinafricaacrosssectionalstudyusingpubliclyavailabledata
AT charlesokeahalam factorsassociatedwithcovid19infectionsandmortalityinafricaacrosssectionalstudyusingpubliclyavailabledata
AT victorwilliams factorsassociatedwithcovid19infectionsandmortalityinafricaacrosssectionalstudyusingpubliclyavailabledata
_version_ 1721359843498917888