TY - JOUR
T1 - COVID-19 risk perception among residents of seven sub-Saharan African countries: socio-demographic correlates and predicted probabilities
AU - Eboreime, Ejemai
AU - Iyamu, Ihoghosa
AU - Afirima, Barinaadaa
AU - Okechukwu, Emeka Franklin
AU - Kibombwe, Gabriel Isaac
AU - Oladele, Tolulope
AU - Tafuma, Taurayi
AU - Badejo, Okiki-Olu
AU - Ashiono, Everline
AU - Mpofu, Mulamuli
AU - Oladele, Edward Adekola
N1 - FTX; DOAJ; (CC BY 4.0)
PY - 2021
Y1 - 2021
N2 - Introduction: as the COVID-19 pandemic rages on, sub-Saharan Africa remains at high risk given the poor adherence to pandemic control protocols. Misconceptions about the contagion may have given rise to adverse risk behaviours across population groups. This study evaluates risk perception among 2,244 residents of seven countries in sub-Saharan Africa (Botswana, Kenya, Malawi, Nigeria, Tanzania, Zambia and Zimbabwe) in relation to socio-demographic determinants.Methods: an online survey was conducted via social media platforms to a random sample of participants. Risk perception was evaluated across six domains: loss of income, food scarcity, having a relative infected, civil disorder, criminal attacks, or losing a friend or relative to COVID-19. A multivariable ordinal logistic regression was conducted to assess socio-demographic factors associated with the perceived risk of being affected by COVID-19.Results: 595 (27%) respondents did not consider themselves to be at risk, while 33% perceived themselves to be at high risk of being affected by the pandemic with respect to the six domains evaluated. Hospital-based workers had the highest proportional odds (3.5; 95%CI: 2.3-5.6) high perceived risk. Teenage respondents had the highest predictive probability (54.6%; 95% CI: 36.6-72.7%) of perceiving themselves not to be at risk of being affected by COVID-19, while Zambia residents had the highest predictive probability (40.7%; 95% CI: 34.3-47.0%) for high-risk perception.Conclusion: this study reveals the need to increase awareness of risks among socio-demographic groups such as younger people and the unemployed. Targeted risk communication strategies will create better risk consciousness, as well as adherence to safety measures.
AB - Introduction: as the COVID-19 pandemic rages on, sub-Saharan Africa remains at high risk given the poor adherence to pandemic control protocols. Misconceptions about the contagion may have given rise to adverse risk behaviours across population groups. This study evaluates risk perception among 2,244 residents of seven countries in sub-Saharan Africa (Botswana, Kenya, Malawi, Nigeria, Tanzania, Zambia and Zimbabwe) in relation to socio-demographic determinants.Methods: an online survey was conducted via social media platforms to a random sample of participants. Risk perception was evaluated across six domains: loss of income, food scarcity, having a relative infected, civil disorder, criminal attacks, or losing a friend or relative to COVID-19. A multivariable ordinal logistic regression was conducted to assess socio-demographic factors associated with the perceived risk of being affected by COVID-19.Results: 595 (27%) respondents did not consider themselves to be at risk, while 33% perceived themselves to be at high risk of being affected by the pandemic with respect to the six domains evaluated. Hospital-based workers had the highest proportional odds (3.5; 95%CI: 2.3-5.6) high perceived risk. Teenage respondents had the highest predictive probability (54.6%; 95% CI: 36.6-72.7%) of perceiving themselves not to be at risk of being affected by COVID-19, while Zambia residents had the highest predictive probability (40.7%; 95% CI: 34.3-47.0%) for high-risk perception.Conclusion: this study reveals the need to increase awareness of risks among socio-demographic groups such as younger people and the unemployed. Targeted risk communication strategies will create better risk consciousness, as well as adherence to safety measures.
KW - Adult
KW - Africa South of the Sahara
KW - Age Factors
KW - COVID-19/epidemiology
KW - Communication
KW - Cross-Sectional Studies
KW - Female
KW - Guideline Adherence
KW - Humans
KW - Male
KW - Middle Aged
KW - Perception
KW - Personnel, Hospital/statistics & numerical data
KW - Probability
KW - Risk Factors
KW - Risk-Taking
KW - Surveys and Questionnaires
KW - Unemployment
KW - Young Adult
U2 - 10.11604/pamj.2021.39.227.28193
DO - 10.11604/pamj.2021.39.227.28193
M3 - A1: Web of Science-article
C2 - 34630839
SN - 1937-8688
VL - 39
JO - Pan African Medical Journal
JF - Pan African Medical Journal
M1 - 227
ER -