- Title
- Risk factors for COVID-19 infection, disease severity and related deaths in Africa: A systematic review
- Creator
- Gesesew, Hailay Abrha; Koye, Digsu Negese; Birhanu, Mulugeta Molla; Gebremedhin, Amanuel Tesfay; Gelaw, Yalemzewod Assefa; Shifti, Desalegn Markos; Muluneh, Muluken Dessalegn; Tegegne, Teketo Kassaw; Abrha, Solomon; Aregay, Atsede Fantahun; Ayalew, Mohammed Biset; Gebre, Abadi Kahsu; Fetene, Dagnachew Muluye; Gebremariam, Kidane Tadesse; Gebremedhin, T; Gebremichael, L; Leshargie, CT; Kibret, GD; Meazaw, Maereg Wagnew; Mekonnen, AB; Tekle, DY; Tesema, AG; Tesfay, FH; Woldegiorgis, Mulu; Tesfaye, W; Wubishet, Befikadu Legesse; Dachew, BA; Adane, AA; Kinfu, Yohannes; Geleto, Ayele Bali; Melaku, Yohannes Adama; Mohammed, Hassen; Alene, Kefyalew Addis; Awoke, Mamaru Ayenew
- Relation
- BMJ Open Vol. 11, Issue 2, no. e044618
- Publisher Link
- http://dx.doi.org/10.1136/bmjopen-2020-044618
- Publisher
- British Medical Journal (BMJ)
- Resource Type
- journal article
- Date
- 2021
- Description
- 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.
- Subject
- epidemiology; public health; Sustainable Development Goals; respiratory medicine; COVID-19; SDG 3; SDG 5; SDG 10; SDG 11; SDG 12; SDG 17
- Identifier
- http://hdl.handle.net/1959.13/1474938
- Identifier
- uon:49415
- Identifier
- ISSN:2044-6055
- Rights
- x
- Language
- eng
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