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Knowledge, adherence mapping of Covid-19 preventive measures among adults in Southwest Nigeria: A cross-sectional study


Kabir Adekunle Durowade
Omotosho Ibrahim Musa
Taofeek Adedayo Sanni
Rofiat Bunmi Mudashiru
Makinde Adebayo Adeniyi
Mojirola Martina Fasiku
Kehinde Olubukola Ojo

Abstract

Background: COVID-19 preventive measures represent the largest public health interventions in human history. However, gap still exist in the knowledge and adherence towards the preventive measures of the disease. This study assessed the knowledge and adherence towards COVID-19 preventive measures among adults in selected communities of Ekiti state, Southwest Nigeria


Methodology: This is a cross-sectional analytical study with multi-stage sampling technique. A pre-tested, structured questionnaire was used to collect data. Statistical Package for the Social Sciences version 23 and ArcGIS version 10.5 were used for data analysis and adherence mapping respectively. Level of statistical significance was set at p<0.05.


Result: Majority, 593 (98.8%), knew the preventive measures of COVID-19 and more than three quarter demonstrated good knowledge, 460 (76.7%). Less than half, 269 (44.8%), had good adherence to the preventive measures of COVID-19. Age and higher educational status were found to be associated with knowledge while socio-economic status was associated with adherence (p<0.05). Marriage was found as a predictor of knowledge [(aOR=7.43 (0.85-65.01); p=0.038)] and female respondents were about twice likely than the males to have good adherence to preventive measures. [(aOR=1.78 (1.17-2.69); p=0.007)]. The rich respondents were three times more likely to adhere to preventive measures of COVID-19 [(aOR=3.15 (1.51-6.55); p=0.002)].


Conclusion: The knowledge of COVID-19 preventive measures was high, but adherence to it was poor. The government and other relevant stakeholders in the State need to institute various interventions like health awareness campaign to increase adherence to the preventive measures.


Journal Identifiers


eISSN: 2992-345X
print ISSN: 0189-9287