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Risk Management and Healthcare Policy Volume 14, 2021 - Issue
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Original Research

Economic, Health and Physical Impacts of COVID-19 Pandemic in Sub-Saharan African Regions: A Cross Sectional Survey

Khathutshelo Percy Mashige1 African Vision Research Institute (AVRI), School of Health Sciences, University of Kwazulu-Natal, Durban, 3629, South AfricaORCID Iconhttps://orcid.org/0000-0001-8199-0891
ORCID Icon,
Uchechukwu Levi Osuagwu1 African Vision Research Institute (AVRI), School of Health Sciences, University of Kwazulu-Natal, Durban, 3629, South Africa;2 Translational Health Research Institute (THRI), Western Sydney University, Campbelltown, New South Wales, AustraliaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1727-6914
ORCID Icon,
Sekar Ulagnathan3 Department of Optometry and Vision Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
,
Bernadine N Ekpenyong1 African Vision Research Institute (AVRI), School of Health Sciences, University of Kwazulu-Natal, Durban, 3629, South Africa;4 Department of Public Health, Faculty of Allied Medical Sciences, College of Medical Sciences, University of Calabar, Calabar, Cross River State, Nigeria
,
Emmanuel Kwasi Abu5 School of Allied Health Sciences, Department of Optometry and Vision Science, University of Cape Coast, Cape Coast, GhanaORCID Iconhttps://orcid.org/0000-0003-2354-9170
ORCID Icon,
Piwuna Christopher Goson6 Department of Psychiatry, College of Health Sciences, University of Jos, Jos, Nigeria
,
Raymond Langsi7 Health division, University of Bamenda, Bamenda, Cameroon
,
Obinna Nwaeze8 County Durham and Darlington National Health Service (NHS) Foundation, Darlington, Durham, UK
,
Chikasirimobi G Timothy9 Department of Optometry and Vision Sciences, School of Public Health, Biomedical Sciences and Technology, Masinde Muliro University of Science and Technology, Kakamega, KenyaORCID Iconhttps://orcid.org/0000-0001-5832-484X
ORCID Icon,
Deborah Donald Charwe10 Tanzania Food and Nutrition Center, Dar-es Salaam, Tanzania
,
Richard Oloruntoba11 Supply Chain Management, Curtin Business School, School of Management and Marketing, Curtin University, Perth, Western Australia, AustraliaORCID Iconhttps://orcid.org/0000-0002-4305-7352
ORCID Icon,
Chundung Asabe Miner12 Department of Community Medicine, College of Health Sciences, University of Jos, Jos, Plateau State, Nigeria
,
Tanko Ishaya13 Department of Computer Science, University of Jos, Jos, Plateau State, Nigeria
,
Godwin O Ovenseri-Ogbomo1 African Vision Research Institute (AVRI), School of Health Sciences, University of Kwazulu-Natal, Durban, 3629, South Africa;14 Department of Optometry, Centre for Life Sciences, University of the Highlands and Islands, Inverness, IV2 3JH, UKORCID Iconhttps://orcid.org/0000-0002-6638-3222
ORCID Icon &
Kingsley E Agho1 African Vision Research Institute (AVRI), School of Health Sciences, University of Kwazulu-Natal, Durban, 3629, South Africa;15 School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia
 show all
Pages 4799-4807 | Published online: 27 Nov 2021

Figures & data

Table 1 Demographic Characteristics of the Respondents (N = 1970) by Sub-Saharan African Sub Region. Values are Number (Percentages) Except for Age

Figure 1 Percentage distribution of any impact of COVID-19 during the lockdown in the sub-Saharan African regions by age group (n = 1970).

Figure 1 Percentage distribution of any impact of COVID-19 during the lockdown in the sub-Saharan African regions by age group (n = 1970).

Figure 2 Percentage breakdown of the impacts of COVID-19 (lost jobs, closed down businesses, contracted COVID-19, hospitalized due to COVID-19 and physical separation from families) during the lockdown in the sub-Saharan African regions by gender: West Africa (A), East Africa (B), Southern Africa (C) and Central African (D) regions (n=1970). *Indicates a significant difference in the impact of COVID-19 between men and women (p < 0.05, independent t-test).

Figure 2 Percentage breakdown of the impacts of COVID-19 (lost jobs, closed down businesses, contracted COVID-19, hospitalized due to COVID-19 and physical separation from families) during the lockdown in the sub-Saharan African regions by gender: West Africa (A), East Africa (B), Southern Africa (C) and Central African (D) regions (n=1970). *Indicates a significant difference in the impact of COVID-19 between men and women (p < 0.05, independent t-test).

Figure 3 Percentage distribution of any impact of COVID-19 by sub-Saharan African sub-region (n = 1970).

Figure 3 Percentage distribution of any impact of COVID-19 by sub-Saharan African sub-region (n = 1970).

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