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Knowledge, attitudes, practices, and perception of Covid-19 preventive measures among adult residents of Matadi (Democratic Republic of the Congo) after the third epidemic wave

Bibliographic Data

ID22084181
AuthorsYannick Munyeku-Bazitama (0000-0001-8303-318X, Hokkaido University, corresponding author), Patient Okitale-Talunda (University of Kinshasa), Justus Nsio-Mbeta (Ministry of Public Health), Patrick Mpingabo-Ilunga, Patrick I Mpingabo (0000-0001-8970-460X, University of Kinshasa), Paul Tshiminyi-Munkamba (National Institute of Biomedical Research), Aimé Umba-Phuati (Ministry of Public Health), Jacques Kimfuta (Ministry of Public Health), Ferdinand Ango-Phukuta (Ministry of Public Health), Goethe Makindu (Ministry of Public Health), Raymond Mufwaya-Nsene (Japan International Cooperation Agency), Ryoko Asari (Japan International Cooperation Agency), Saeda Makimoto (Japan International Cooperation Agency), Steve Ahuka-Mundeke, Steve Ahuka‐Mundeke (0009-0009-5210-864X, University of Kinshasa), Mitsuo Isono (Japan International Cooperation Agency), Sheila Makiala-Mandanda, Sheila Makiala‐Mandanda (0000-0002-4261-4399, University of Kinshasa, corresponding author), Jean-Jacques Muyembe-Tamfum, Jean‐jacques Muyembé‐tamfum (University of Kinshasa)
Year2024
Volume12
Pages1363717-1363717
Publication date2024-06-28
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1363717
PMID39005989
OpenAlexW4400135987
LanguageEN
References cited39

Background: Several governments from African countries, including the Democratic Republic of the Congo (DRC), implemented stringent public health measures to curb COVID-19 transmission in the early phases of the pandemic. While these restrictive measures are believed to have contributed to lowering case incidence and related mortality in DRC, data on the population's knowledge and adherence are limited. This study aimed to assess the knowledge, perception, attitudes, and practices of COVID-19 preventive measures and associated factors among adult residents of Matadi, thereby generating evidence for a strategy adjustment as the COVID-19 response is transitioning from emergency to control status. Methods: We used data from a population-based cross-sectional study conducted in October 2021. Consenting participants were enrolled through a multi-stage cluster sampling approach and administered a pre-tested structured questionnaire using a mobile application (Epicollect 5). We analyzed adult participants' data using STATA 15.1. Univariable and multivariable analyses were applied to identify factors associated with good knowledge, good perception, positive attitude and good practice. Results: We included 1,269 adult respondents for the secondary analysis. One respondent in six was female. The median age was 36 years (IQR 24-50). Most respondents (76.5%) had good knowledge. Respondents aged 40-49 years and those with vocational education level were 1.7 time (AOR 1.75, 95% CI 1.07-2.87) and twice as likely (AOR 2.06, 95% CI 1.01-4.21) to have good knowledge. Preventive measures were perceived as efficient by 45% of respondents. Good perception was associated with education level, profession, average household monthly income and good knowledge. Only 40% of respondents had a positive attitude. A positive attitude was associated with age, education level, and good knowledge. Respondents having good practice represented 5.8%. Good practice was associated with good knowledge, attitude and perception. Conclusion: Most respondents were knowledgeable, had a good perception of government-related COVID-19 preventive measures, a moderately positive attitude and an extremely low level of good practice. Current COVID-19 preventive strategies, including vaccination rollout, need adjustment into high-efficiency, context-based and risk group-specific interventions. Evidence generated by this study will improve preparedness and response to future outbreaks

Cross-sectional study · Disease · Environmental health · Family medicine · Pandemic · Perception · Population · Public health · Respondent · Risk perception · COVID-19 and Mental Health · COVID-19 epidemiological studies · Demography · Medicine · Nursing · Psychology · Viral Infections and Outbreaks Research · Gerontology

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