Dataset Information

Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

ABSTRACT:

Objective

The aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa.

Design

A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa.

Data sources

Data were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv.

Eligibility criteria

Studies for review were included if they were published in English and reported at least one risk factor and/or one health outcome. We included all relevant literature published up until 11 August 2020.

Data extraction and synthesis

We performed a systematic narrative synthesis to describe the available studies for each outcome. Data were extracted using a standardised Joanna Briggs Institute data extraction form.

Results

Fifteen articles met the inclusion criteria of which four were exclusively on Africa and the remaining 11 papers had a global focus with some data from Africa. Higher rates of infection in Africa are associated with high population density, urbanisation, transport connectivity, high volume of tourism and international trade, and high level of economic and political openness. Limited or poor access to healthcare are also associated with higher COVID-19 infection rates. Older people and individuals with chronic conditions such as HIV, tuberculosis and anaemia experience severe forms COVID-19 leading to hospitalisation and death. Similarly, high burden of chronic obstructive pulmonary disease, high prevalence of tobacco consumption and low levels of expenditure on health and low levels of global health security score contribute to COVID-19 related deaths.

Conclusions

Demographic, institutional, ecological, health system and politico-economic factors influenced the spectrum of COVID-19 infection, severity and death. We recommend multidisciplinary and integrated approaches to mitigate the identified factors and strengthen effective prevention strategies.

SUBMITTER: Gesesew HA

PROVIDER: S-EPMC7896374 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

Gesesew Hailay Abrha HA Koye Digsu Negese DN Fetene Dagnachew Muluye DM Woldegiorgis Mulu M Kinfu Yohannes Y Geleto Ayele Bali AB Melaku Yohannes Adama YA Mohammed Hassen H Alene Kefyalew Addis KA Awoke Mamaru Ayenew MA Birhanu Mulugeta Molla MM Gebremedhin Amanuel Tesfay AT Gelaw Yalemzewod Assefa YA Shifti Desalegn Markos DM Muluneh Muluken Dessalegn MD Tegegne Teketo Kassaw TK Abrha Solomon S Aregay Atsede Fantahun AF Ayalew Mohammed Biset MB Gebre Abadi Kahsu AK Gebremariam Kidane Tadesse KT Gebremedhin Tesfaye T Gebremichael Lemlem L Leshargie Cheru Tesema CT Kibret Getiye Dejenu GD Meazaw Maereg Wagnew MW Mekonnen Alemayehu Berhane AB Tekle Dejen Yemane DY Tesema Azeb Gebresilassie AG Tesfay Fisaha Haile FH Tesfaye Wubshet W Wubishet Befikadu Legesse BL Dachew Berihun Assefa BA Adane Akilew Awoke AA

BMJ open 20210218 2

<h4>Objective</h4>The aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa.<h4>Design</h4>A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa.<h4>Data sources</h4>Data were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv.<h4>Eligibility criteria</h4>Studies for review were included if they were published in En ...[more]

PMID: 33602714

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Dataset Information

Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

Objective

Design

Data sources

Eligibility criteria

Data extraction and synthesis

Results

Conclusions

Publications

Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

Similar Datasets

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