دورية أكاديمية

The Determinants of the Low COVID-19 Transmission and Mortality Rates in Africa: A Cross-Country Analysis.

التفاصيل البيبلوغرافية
العنوان: The Determinants of the Low COVID-19 Transmission and Mortality Rates in Africa: A Cross-Country Analysis.
المؤلفون: Bouba Y; Chantal BIYA International Reference Center for Research on HIV/AIDS Prevention and Management (CIRCB), Yaoundé, Cameroon.; Department of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy., Tsinda EK; Graduate School of Medicine, University of Tohoku, Sendai, Japan., Fonkou MDM; UFR IM2AG, Université Grenoble Alpes, Grenoble, France., Mmbando GS; Graduate School of Life Sciences, University of Tohoku, Sendai, Japan., Bragazzi NL; Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, ON, Canada.; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Department of Mathematics and Statistics, York University, Toronto, ON, Canada., Kong JD; Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
المصدر: Frontiers in public health [Front Public Health] 2021 Oct 21; Vol. 9, pp. 751197. Date of Electronic Publication: 2021 Oct 21 (Print Publication: 2021).
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Lausanne : Frontiers Editorial Office
مواضيع طبية MeSH: COVID-19* , Pandemics*, Africa/epidemiology ; Humans ; Life Expectancy ; SARS-CoV-2
مستخلص: Background: More than 1 year after the beginning of the international spread of coronavirus 2019 (COVID-19), the reasons explaining its apparently lower reported burden in Africa are still to be fully elucidated. Few studies previously investigated the potential reasons explaining this epidemiological observation using data at the level of a few African countries. However, an updated analysis considering the various epidemiological waves and variables across an array of categories, with a focus on African countries might help to better understand the COVID-19 pandemic on the continent. Thus, we investigated the potential reasons for the persistently lower transmission and mortality rates of COVID-19 in Africa. Methods: Data were collected from publicly available and well-known online sources. The cumulative numbers of COVID-19 cases and deaths per 1 million population reported by the African countries up to February 2021 were used to estimate the transmission and mortality rates of COVID-19, respectively. The covariates were collected across several data sources: clinical/diseases data, health system performance, demographic parameters, economic indicators, climatic, pollution, and radiation variables, and use of social media. The collinearities were corrected using variance inflation factor (VIF) and selected variables were fitted to a multiple regression model using the R statistical package. Results: Our model (adjusted R-squared: 0.7) found that the number of COVID-19 tests per 1 million population, GINI index, global health security (GHS) index, and mean body mass index (BMI) were significantly associated ( P < 0.05) with COVID-19 cases per 1 million population. No association was found between the median life expectancy, the proportion of the rural population, and Bacillus Calmette-Guérin (BCG) coverage rate. On the other hand, diabetes prevalence, number of nurses, and GHS index were found to be significantly associated with COVID-19 deaths per 1 million population (adjusted R-squared of 0.5). Moreover, the median life expectancy and lower respiratory infections rate showed a trend towards significance. No association was found with the BCG coverage or communicable disease burden. Conclusions: Low health system capacity, together with some clinical and socio-economic factors were the predictors of the reported burden of COVID-19 in Africa. Our results emphasize the need for Africa to strengthen its overall health system capacity to efficiently detect and respond to public health crises.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2021 Bouba, Tsinda, Fonkou, Mmbando, Bragazzi and Kong.)
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فهرسة مساهمة: Keywords: Africa; COVID-19; cross-country analysis; mortality; transmission
تواريخ الأحداث: Date Created: 20211108 Date Completed: 20211110 Latest Revision: 20240818
رمز التحديث: 20240818
مُعرف محوري في PubMed: PMC8568130
DOI: 10.3389/fpubh.2021.751197
PMID: 34746085
قاعدة البيانات: MEDLINE
الوصف
تدمد:2296-2565
DOI:10.3389/fpubh.2021.751197