TY - JOUR
T1 - Risk factors for COVID-19 infection, disease severity and related deaths in Africa
T2 - A systematic review
AU - Gesesew, Hailay Abrha
AU - Koye, Digsu Negese
AU - Fetene, Dagnachew Muluye
AU - Woldegiorgis, Mulu
AU - Kinfu, Yohannes
AU - Geleto, Ayele Bali
AU - Melaku, Yohannes Adama
AU - Mohammed, Hassen
AU - Alene, Kefyalew Addis
AU - Awoke, Mamaru Ayenew
AU - Birhanu, Mulugeta Molla
AU - Gebremedhin, Amanuel Tesfay
AU - Gelaw, Yalemzewod Assefa
AU - Shifti, Desalegn Markos
AU - Muluneh, Muluken Dessalegn
AU - Tegegne, Teketo Kassaw
AU - Abrha, Solomon
AU - Aregay, Atsede Fantahun
AU - Ayalew, Mohammed Biset
AU - Gebre, Abadi Kahsu
AU - Gebremariam, Kidane Tadesse
AU - Gebremedhin, Tesfaye
AU - Gebremichael, Lemlem
AU - Leshargie, Cheru Tesema
AU - Kibret, Getiye Dejenu
AU - Meazaw, Maereg Wagnew
AU - Mekonnen, Alemayehu Berhane
AU - Tekle, Dejen Yemane
AU - Tesema, Azeb Gebresilassie
AU - Tesfay, Fisaha Haile
AU - Tesfaye, Wubshet
AU - Wubishet, Befikadu Legesse
AU - Dachew, Berihun Assefa
AU - Adane, Akilew Awoke
PY - 2021/2/18
Y1 - 2021/2/18
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.
AB - 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.
KW - epidemiology
KW - public health
KW - respiratory medicine (see thoracic medicine)
UR - http://www.scopus.com/inward/record.url?scp=85101230815&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2020-044618
DO - 10.1136/bmjopen-2020-044618
M3 - Review article
C2 - 33602714
AN - SCOPUS:85101230815
SN - 2044-6055
VL - 11
JO - BMJ Open
JF - BMJ Open
IS - 2
M1 - e044618
ER -
