2022
DOI: 10.1007/s40847-022-00184-2
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The impact of socio-economic indicators on COVID-19: an empirical multivariate analysis of sub-Saharan African countries

Abstract: The COVID-19 pandemic has triggered an unprecedented social and economic crisis. This study aims at investigating the impact of socio-economic indicators on the levels of COVID-19 (confirmed and death cases) in sub-Saharan Africa. The investigation makes use of the readily accessible public data: we obtain COVID-19 data from Johns Hopkins and socio-economic indicators from the World Bank. The socio-economic indicators (independent variables) used in the multilinear regression were GDP per capita, gross nationa… Show more

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Cited by 4 publications
(3 citation statements)
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“…Recent studies attest to the rapid spread of COVID-19 around the world, with countries locking down cities, restricting travel and implementing stringent security measures. These have an impact on the environment and carbon emissions [56][57][58], while holding back economic development [59][60][61]. Therefore, we want to study the impact of carbon emissions on the economy so that policymakers can make appropriate policies to strike a balance between economic development and environmental protection.…”
Section: Discussionmentioning
confidence: 99%
“…Recent studies attest to the rapid spread of COVID-19 around the world, with countries locking down cities, restricting travel and implementing stringent security measures. These have an impact on the environment and carbon emissions [56][57][58], while holding back economic development [59][60][61]. Therefore, we want to study the impact of carbon emissions on the economy so that policymakers can make appropriate policies to strike a balance between economic development and environmental protection.…”
Section: Discussionmentioning
confidence: 99%
“…In order to reduce the effect of yearly fluctuations in the data, we have taken moving averages of three years (i.e., 2018 to 2020 for the food security indicators). Moreover, we used the moving averages of three years because there were several missing values in the yearly data, a similar approach was employed in the study of Tamasiga et al, [23] who investigated the impact of socio-economic indicators on COVID-19 and Mihoub et al, [12] who applied machine learning techniques in order to make predictions of cases of COVID-19.…”
Section: Dependent Variables/food Security Indicatorsmentioning
confidence: 99%
“…This study is expected to make several contributions to the literature. First, different from other studies measuring the economic impacts of the pandemic on domestic economic loss (Tamasiga et al, 2022;Famiglietti and Leibovici, 2022;Zhang et al, 2021;Meltzer et al, 1999), we focus on the trade friction that arises with protectionism after the economic slump caused by the pandemic. Although this issue has attracted attention (Rammal et al, 2022;Khorana et al, 2022), in-depth investigation is required, especially on its impact on global economy.…”
Section: Introductionmentioning
confidence: 99%