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Predictors of COVID-19 epidemics in countries of the World Health Organization African Region

Authors :
Zabulon Yoti
Miranda Ferguson
Giles Calder-Gerver
Francisca Mutapi
Feifei Zhang
Humphrey Karamagi
Gordon A. Awandare
Miles McGibbon
Joseph Cabore
Alistair Morrison
Ngoy Nsenga
Miriam Karinja
Alexandra Huber
Samuel Haynes
Chuan-Guo Guo
Miriam Nanyunja
Margo Chase-Topping
Seth Amanfo
Matshidiso Moeti
Mark E. J. Woolhouse
Tara Wagner-Gamble
Source :
Nature Medicine, Zhang, F, Karamagi, H, Nsenga, N, Nanyunja, M, Karinja, M, Amanfo, S, Chase-Topping, M, Calder-Gerver, G, McGibbon, M, Huber, A, Wagner-Gamble, T, Guo, C-G, Haynes, S, Morrison, A, Ferguson, M, Awandare, G A, Mutapi, F, Yoti, Z, Cabore, J, Moeti, M R & Woolhouse, M E J 2021, ' Predictors of COVID-19 epidemics in countries of the World Health Organization African Region ', Nature Medicine . https://doi.org/10.1038/s41591-021-01491-7
Publication Year :
2021

Abstract

Countries of the World Health Organization (WHO) African Region have experienced a wide range of coronavirus disease 2019 (COVID-19) epidemics. This study aimed to identify predictors of the timing of the first COVID-19 case and the per capita mortality in WHO African Region countries during the first and second pandemic waves and to test for associations with the preparedness of health systems and government pandemic responses. Using a region-wide, country-based observational study, we found that the first case was detected earlier in countries with more urban populations, higher international connectivity and greater COVID-19 test capacity but later in island nations. Predictors of a high first wave per capita mortality rate included a more urban population, higher pre-pandemic international connectivity and a higher prevalence of HIV. Countries rated as better prepared and having more resilient health systems were worst affected by the disease, the imposition of restrictions or both, making any benefit of more stringent countermeasures difficult to detect. Predictors for the second wave were similar to the first. Second wave per capita mortality could be predicted from that of the first wave. The COVID-19 pandemic highlights unanticipated vulnerabilities to infectious disease in Africa that should be taken into account in future pandemic preparedness planning.<br />A new study from the WHO African Region identifies features of countries that predict timing of the first case and the per capita mortality rate for the first and second waves of the COVID-19 epidemics.

Details

ISSN :
1546170X
Volume :
27
Issue :
11
Database :
OpenAIRE
Journal :
Nature medicine
Accession number :
edsair.doi.dedup.....ada7c3ef8f0a84420c6ce94603caef31
Full Text :
https://doi.org/10.1038/s41591-021-01491-7