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Main modulators of COVID-19 epidemic in sub-Saharan Africa.
Zinsou, Boris-Enock; Letourneur, Diane; Siko, Joël; de Souza, Raïssa Muriel; Adjagba, Frejus; Pineau, Pascal.
Afiliación
  • Zinsou BE; Clinical Research Institute of Benin (IRCB), Atlantique, 04 BP: 1114 Abomey Calavi, Benin.
  • Letourneur D; Institut Pasteur, Université Paris Cité, CNRS UMR 6047, INSERM ERL1306, Unité "Toxines Bactériennes", F-75015 Paris, France.
  • Siko J; Clinical Research Institute of Benin (IRCB), Atlantique, 04 BP: 1114 Abomey Calavi, Benin.
  • de Souza RM; Centre d'Excellence Africain en Innovations Biotechnologique pour l'Elimination des Maladies à Transmission Vectorielle (CEA/ITECH-MTV), Université Nazi Boni, Burkina Faso.
  • Adjagba F; Institut de Recherche en Science de la Santé, Direction Régionale de l'Ouest (IRSS-DRO), Bobo Dioulasso, Burkina Faso.
  • Pineau P; University of Abomey Calavi, Benin.
Heliyon ; 9(1): e12727, 2023 Jan.
Article en En | MEDLINE | ID: mdl-36594042
Background: The coronavirus disease 2019 (COVID-19) pandemic is responsible for an important global death toll from which sub-Saharan Africa (SSA) seems mostly protected. The reasons explaining this situation are still poorly understood. Methods: We analyzed the correlation between reported COVID-19 data between February 14, 2020 and May 18, 2021, and demographic, socioeconomic, climatic, diagnostic data, and comorbidities in 47 SSA countries. Different databases including the WHO data center, Our World in Data, and the World Bank were used. Findings: As of May 17, 2021, SSA reported 2% of COVID-19 cases and 2.9% of deaths, with the southern region being the most affected with 56.4% of cases and 75.0% of deaths. COVID-19 mortality was positively correlated with medical variables (national obesity rate, diabetes prevalence, cancer incidence, and cardiovascular disease mortality rate), socioeconomic characteristics (international tourism, per capita health expenditure, human development index, HDI, and years of schooling), and health system variables (nurse density, number of COVID-19 tests per capita), but negatively correlated with the population under 15 years of age and the malaria index. Interpretation: Our study suggests that higher economic status fits with high COVID-19 mortality in SSA. In this regard, it represents primarily a disease of modern and wealthy societies, and can therefore be considered as an exception among infectious diseases that historically affected more severely underserved populations living in low- and middle-income countries. However, it should be made clear that observed correlations do not imply inevitably causation and that additional studies are necessary to confirm our observations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: Benín Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: Benín Pais de publicación: Reino Unido