Community mitigation strategies for coronavirus disease 2019: An assessment of knowledge and adherence amongst residents of Benin City, Edo State, Nigeria.

Abstract

Background\nIn the absence of effective vaccines and definitive treatment, non-pharmaceutical interventions, also known as community mitigation strategies (CMS), are needed to reduce the transmission of respiratory virus infections such as coronavirus disease 2019 (COVID-19). However, the effectiveness of these strategies depends on a knowledgeable population cooperating and adhering strictly to recommended strategies.\n\n\nObjective\nThe objective of the study was to determine the knowledge and adherence to CMS against COVID-19 in Benin City, the capital of Edo State, Nigeria.\n\n\nMaterials and Methods\nA descriptive cross-sectional study was conducted amongst adult residents in Benin City using a self-administered questionnaire for data collection. Eighteen questions addressed knowledge of CMS, while adherence was assessed using 14 questions on a graded scale. Each correct answer was scored giving maximum and minimum scores of 18 and 0 for knowledge and 28 and 0 for adherence, respectively. Scores were converted to percentages with scores 70% and above adjudged as good knowledge of CMS and scores 50% and above adjudged as good adherence to CMS. Data were analysed with IBM SPSS version 25.0 software. The level of significance was set at P < 0.05.\n\n\nResults\nThe mean age (standard deviation) of 577 respondents who participated in the study was 32.5 ± 11.7 years. Overall, 532 (92.2%) respondents had good knowledge, while only 165 (28.6%) demonstrated good compliance with CMS against COVID-19. Christianity was a statistically significant predictor of knowledge of CMS. Income was found to be a significant predictor of adherence to CMS amongst respondents.\n\n\nConclusion\nRespondents demonstrated good knowledge but poor adherence with CMS against COVID-19 in Benin City, Edo State. Behaviour change communication is advocated to ensure that mitigation strategies are effective.