Spatio-Temporal Evolution of the COVID-19 across African Countries

B. Naffeti, Sébastien Bourdin (), W. Ben Aribi, A. Kebir and S. Ben Miled
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B. Naffeti: Institut Pasteur de Tunis - Pasteur Network (Réseau International des Instituts Pasteur)
Sébastien Bourdin: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
W. Ben Aribi: Institut Pasteur de Tunis - Pasteur Network (Réseau International des Instituts Pasteur)
A. Kebir: Institut Pasteur de Tunis - Pasteur Network (Réseau International des Instituts Pasteur)
S. Ben Miled: Institut Pasteur de Tunis - Pasteur Network (Réseau International des Instituts Pasteur)

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Abstract: The aim of this study is to make a comparative study on the reproduction number R0 computed at the beginning of each wave for African countries and to understand the reasons for the disparities between them. The study covers the two first years of the COVID-19 pandemic and for 30 African countries. It links pandemic variables, reproduction number R0, demographic variable, median age of the population, economic variables, GDP and CHE per capita, and climatic variables, mean temperature at the beginning of each waves. The results show that the diffusion of COVID-19 in Africa was heterogeneous even between geographical proximal countries. The difference of the basic reproduction number R0 values is very large between countries and is significantly correlated with economic and climatic variables GDP and temperature and to a less extent with the mean age of the population. Copyright © 2022 Naffeti, Bourdin, Ben Aribi, Kebir and Ben Miled.

Keywords: Africa; African People; COVID-19; epidemiology; human; Humans; pandemic; Pandemics; regional analysis; reproduction number R0; SARS-CoV-2; SIR model (search for similar items in EconPapers)
Date: 2022
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Published in Frontiers in Public Health, 2022, 10, ⟨10.3389/fpubh.2022.1039925⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04454688

DOI: 10.3389/fpubh.2022.1039925

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