Places Nigerians visited during COVID-19 government stay-home policy: evidence from secondary analysis of data collected during the lockdown.

Introduction: Compliance with the Government's lockdown policy is required to curtail community transmission of Covid-19 infection. The objective of this research was to identify places Nigerians visited during the lockdown to help prepare for a response towards future infectious diseases of public health importance similar to Covid-19. Methods: This was a secondary analysis of unconventional data collected using Google Forms and online social media platforms during the COVID-19 lockdown between April and June 2020 in Nigeria. Two datasets from: i) partnership for evidencebased response to COVID-19 (PERC) wave-1 and ii) College of Medicine, University of Lagos perception of and compliance with physical distancing survey (PCSH) were used. Data on places that people visited during the lockdown were extracted and compared with the sociodemographic characteristics of the respondents. Descriptive statistics were calculated for all independent variables and focused on frequencies and percentages. Chi-squared test was used to determine the significance between sociodemographic variables and places visited during the lockdown. Statistical significance was determined by P<0.05. All statistical analyses were carried out using SPSS version 22. Results: There were 1304 and 879 participants in the PERC wave-1 and PCSH datasets, respectively. The mean age of PERC wave-1 and PCSH survey respondents was 31.8 [standard deviation (SD)=8.5] and 33.1 (SD=8.3) years, respectively.In the PCSH survey, 55.9% and 44.1% of respondents lived in locations with partial and complete covid-19 lockdowns, respectively. Irrespective of the type of lockdown, the most common place visited during the lockdown was the market (shopping); reported by 73% of respondents in states with partial lockdown and by 68% of respondents in states with the complete lockdown. Visits to families and friends happened more in states with complete (16.1%) than in states with partial (8.4%) lockdowns. Conclusions: Markets (shopping) were the main places visited during the lockdown compared to visiting friends/family, places of worship, gyms, and workplaces. It is important in the future for the Government to plan how citizens can safely access markets and get other household items during lockdowns for better adherence to stay-at-home directives for future infectious disease epidemics.

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

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 χ2 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 p<0.05. RESULTS: 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.