Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review
Author:
Gesesew Hailay AbrhaORCID, Koye Digsu Negese, Fetene Dagnachew Muluye, Woldegiorgis Mulu, Kinfu Yohannes, Geleto Ayele Bali, Melaku Yohannes AdamaORCID, Mohammed Hassen, Alene Kefyalew Addis, Awoke Mamaru Ayenew, Birhanu Mulugeta Molla, Gebremedhin Amanuel Tesfay, Gelaw Yalemzewod Assefa, Shifti Desalegn MarkosORCID, Muluneh Muluken Dessalegn, Tegegne Teketo Kassaw, Abrha Solomon, Aregay Atsede Fantahun, Ayalew Mohammed Biset, Gebre Abadi Kahsu, Gebremariam Kidane Tadesse, Gebremedhin Tesfaye, Gebremichael Lemlem, Leshargie Cheru Tesema, Kibret Getiye Dejenu, Meazaw Maereg Wagnew, Mekonnen Alemayehu Berhane, Tekle Dejen Yemane, Tesema Azeb Gebresilassie, Tesfay Fisaha HaileORCID, Tesfaye WubshetORCID, Wubishet Befikadu Legesse, Dachew Berihun AssefaORCID, Adane Akilew Awoke
Abstract
ObjectiveThe aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa.DesignA systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa.Data sourcesData were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv.Eligibility criteriaStudies 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 synthesisWe 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.ResultsFifteen 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.ConclusionsDemographic, 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.
Reference46 articles.
1. Coronavirus disease 2019: what we know?;He;J Med Virol,2020 2. WHO . Coronavirus disease (COVID-2019) situation reports. Geneva: World Health Organization, 2020. 3. JHU . COVID-19 dashboard by the center for systems science and Engineering (CSSE) at Johns Hopkins University (JHU). John Hopkins University & Medicine Coronavirus Resource Center, 2020. Available: https://coronavirus.jhu.edu/map.html [Accessed 10 Jan 2020]. 4. CDC . Africa CDC dashboard: COVID-19. Addis Ababa: Africa CDC, 2020. 5. COVID-19: a novel zoonotic disease caused by a coronavirus from China: what we know and what we don't;Mackenzie;Microbiol Aust,2020
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