TY - JOUR T1 - Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review JF - BMJ Open JO - BMJ Open DO - 10.1136/bmjopen-2020-044618 VL - 11 IS - 2 SP - e044618 AU - Hailay Abrha Gesesew AU - Digsu Negese Koye AU - Dagnachew Muluye Fetene AU - Mulu Woldegiorgis AU - Yohannes Kinfu AU - Ayele Bali Geleto AU - Yohannes Adama Melaku AU - Hassen Mohammed AU - Kefyalew Addis Alene AU - Mamaru Ayenew Awoke AU - Mulugeta Molla Birhanu AU - Amanuel Tesfay Gebremedhin AU - Yalemzewod Assefa Gelaw AU - Desalegn Markos Shifti AU - Muluken Dessalegn Muluneh AU - Teketo Kassaw Tegegne AU - Solomon Abrha AU - Atsede Fantahun Aregay AU - Mohammed Biset Ayalew AU - Abadi Kahsu Gebre AU - Kidane Tadesse Gebremariam AU - Tesfaye Gebremedhin AU - Lemlem Gebremichael AU - Cheru Tesema Leshargie AU - Getiye Dejenu Kibret AU - Maereg Wagnew Meazaw AU - Alemayehu Berhane Mekonnen AU - Dejen Yemane Tekle AU - Azeb Gebresilassie Tesema AU - Fisaha Haile Tesfay AU - Wubshet Tesfaye AU - Befikadu Legesse Wubishet AU - Berihun Assefa Dachew AU - Akilew Awoke Adane Y1 - 2021/02/01 UR - http://bmjopen.bmj.com/content/11/2/e044618.abstract N2 - 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. ER -