Factors influencing COVID-19 preventive behavior in Thanlyin township, Yangon region, Myanmar
DOI:
https://doi.org/10.18203/2394-6040.ijcmph20243445Keywords:
COVID-19, Knowledge, Preventive behavior, MyanmarAbstract
Background: The World Health Organization (WHO) has identified COVID-19 as a novel lung condition caused by an emerging virus. Socioeconomic factors significantly influence preventive behaviors like handwashing, wearing masks, social distancing, coughing cover, and avoiding touching the face to reduce COVID-19 transmission. Aim was to determine factors influencing COVID-19 preventive behavior among selected households.
Methods: The cross-sectional descriptive study with 700 samples was conducted from July 2022 to December 2023 that collected quantitative data using an interviewer-administered questionnaire that was converted to Open Data Kit, a mobile data tool in Thanlyin Township, Yangon, Myanmar. Objective of study was to determine the association between socio-demographics, knowledge and preventive COVID-19 behaviors in this township residence over the age of 18 years old. One-way analysis of variance (ANOVA), independent t-test, and multiple linear regression were used to analyze the data.
Results: The overall mean score of knowledge related to COVID-19 was 25.95±7.07, whereas 37.48±15.05 was for preventive behaviors. After multiple linear regression, participants who living in urban, single, passed high educational status, family members who had COVID history, COVID-19 patients who had underlying diseases reported higher preventive behavior where as participants who had co morbidity reported lower performing preventive COVID-19 behaviors. Those participants with higher knowledge scores reported higher preventive COVID-19 behaviors (β=0.312, p=0.000).
Conclusions: Public health interventions should utilize these experiences to effectively communicate and promote preventive measures, thereby enhancing the targeting and impactful nature of future infectious disease prevention efforts.
Metrics
References
Synowiec A, Szczepański A, Barreto-Duran E, Lie LK, Pyrc K. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): a Systemic Infection. Clin Microbiol Rev. 2021;34(2):e00133-20.
Centers for Disease Control and Prevention [CDC]. COVID-19. 2019. Available at: https://www.cdc. gov/covid/index.html. Accessed on 12 September 2024.
Bak A, Mugglestone MA, Ratnaraja NV, Wilson JA, Rivett L, Stoneham SM, et al. SARS-CoV-2 routes of transmission and recommendations for preventing acquisition: joint British Infection Association (BIA), Healthcare Infection Society (HIS), Infection Prevention Society (IPS) and Royal College of Pathologists (RCPath) guidance. J Hosp Infect. 2021;114:79-103.
Firouzbakht M, Omidvar S, Firouzbakht S, Asadi-Amoli A. COVID-19 preventive behaviors and influencing factors in the Iranian population; a web-based survey. BMC Public Health. 2021;21(1):143.
Wachira E, Laki K, Chavan B, Aidoo-Frimpong G, Kingori C. Factors Influencing COVID-19 Prevention Behaviors. J Prev (2022). 2023;44(1):35-52.
Camacho-Rivera M, Islam JY, Vidot DC. Associations between chronic health condi tions and COVID-19 preventive behaviors among a nationally representative sample of US adults: an analysis of the COVID impact survey. Health Equity. 2020;4(1):336-44.
Chen X, Chen H. Differences in Preventive Behaviors of COVID-19 between Urban and Rural Residents: Lessons Learned from A Cross-Sectional Study in China. Int J Environ Res Public Health. 2020;17(12):4437.
Islam JY, Vidot DC, Camacho-Rivera M. Determinants of COVID-19 preventive behaviours among adults with chronic diseases in the USA: an analysis of the nationally representative COVID-19 impact survey. BMJ Open. 2021;11(2):e044600.
Kim S, Kim S. Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic. Int J Environ Res Public Health. 2020;17(22):8666.
Li S, Feng B, Liao W, Pan W. Internet Use, Risk Awareness, and Demographic Characteristics Associated With Engagement in Preventive Behaviors and Testing: Cross-Sectional Survey on COVID-19 in the United States. J Med Internet Res. 2020;22(6):e19782.
Apanga PA, Kamal Lettor IB, Akunvane R. Practice of COVID-19 Preventive Measures and Its Associated Factors among Students in Ghana. Am J Trop Med Hyg. 2020;104(2):526-31.
Lee M, Kang BA, You M. Knowledge, attitudes, and practices (KAP) toward COVID-19: a cross-sectional study in South Korea. BMC Public Health. 2021;21(1):295.
Yang SK, Kim M. Factors Influencing Preventive Behavior of COVID-19 among Nursing Students in South Korea. Int J Environ Res Public Health. 2022;19(19):12094.
Hyun WI, Son YH, Jung SO. Infection preventive behaviors and its association with perceived threat and perceived social factors during the COVID-19 pandemic in South Korea: 2020 community health survey. BMC Public Health. 2022;22(1):1381.
González-Herrera A, Rodríguez-Blázquez C, Romay-Barja M, Falcon-Romero M, Ayala A, Forjaz MJ. Age differences in knowledge, attitudes and preventive practices during the COVID-19 pandemic in Spain. Sci Rep. 2022;12(1):20863.
Adebayo DF, Akintola A, Olaseni A. Adherence to COVID-19 Preventive Behaviours: the Implication of Life Orientation and Sociodemographic Factors among Residents in Nigeria. Psychology. 2022;13(04):469-81.
Hosen I, Pakpour AH, Sakib N, Hussain N, Al Mamun F, Mamun MA. Knowledge and preventive behaviors regarding COVID-19 in Bangladesh: A nationwide distribution. PLoS One. 2021;16(5):e0251151.
Smith JA, Judd J. COVID-19: Vulnerability and the power of privilege in a pandemic. Health Promot J Austr. 2020;31(2):158-60.
Saeed S, Awasthi AA, Nandi D, Kaur K, Hasan S, Janardhanan R. Knowledge, attitude and practice towards COVID-19 among individuals with associated comorbidities. J Med Life. 2021;14(2):225-37.