4.6 Article

Public risk perception and behaviours towards COVID-19 during the first and second waves in Nigeria: a secondary data analysis

Journal

BMJ OPEN
Volume 12, Issue 4, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2021-058747

Keywords

COVID-19; infection control; epidemiology; public health

Funding

  1. Data4COVID19 Africa Challenge

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This study describes the changes in public risk perception and risky behaviors during the first and second waves of COVID-19 in Nigeria, as well as the associated factors and observed trend of the outbreak. The findings show that males have a higher perception of the risk of COVID-19 infection, and there is a significant increase in non-compliance with public health and social measures during the second wave compared to the first wave.
Objectives To describe changes in public risk perception and risky behaviours during the first wave (W1) and second wave (W2) of COVID-19 in Nigeria, associated factors and observed trend of the outbreak. Design A secondary data analysis of cross-sectional telephone-based surveys conducted during the W1 and W2 of COVID-19 in Nigeria. Setting Nigeria. Participants Data from participants randomly selected from all states in Nigeria. Primary outcome Risk perception for COVID-19 infection categorised as risk perceived and risk not perceived. Secondary outcome Compliance to public health and social measures (PHSMs) categorised as compliant; non-compliant and indifferent. Analysis Comparison of frequencies during both waves using chi(2) statistic to test for associations. Univariate and multivariate logistic regression analyses helped estimate the unadjusted and adjusted odds of risk perception of oneself contracting COVID-19. Level of statistical significance was set at pResults Triangulated datasets had a total of 6401 respondents, majority (49.5%) aged 25-35 years. Overall, 55.4% and 56.1% perceived themselves to be at risk of COVID-19 infection during the W1 and W2, respectively. A higher proportion of males than females perceived themselves to be at risk during the W1 (60.3% vs 50.3%, p<0.001) and the W2 (58.3% vs 52.6%, p<0.05). Residing in the south-west was associated with not perceiving oneself at risk of COVID-19 infection (W1-AOdds Ratio (AOR) 0.28; 95% CI 0.20 to 0.40; W2-AOR 0.71; 95% CI 0.52 to 0.97). There was significant increase in non-compliance to PHSMs in the W2 compared with W1. Non-compliance rate was higher among individuals who perceived themselves not to be at risk of getting infected (p<0.001). Conclusion Risk communication and community engagement geared towards increasing risk perception of COVID-19 should be implemented, particularly among the identified population groups. This could increase adherence to PHSMs and potentially reduce the burden of COVID-19 in Nigeria.

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