Factors Influencing Prevention and Control Behavior of Coronavirus Disease 2019 among People, Sisaket Province
Article Sidebar
Main Article Content
Abstract
The objective of this cross-sectional analytical research was to study the factors influencing the prevention and control behaviors of a sample group of 340 people in Sisaket Province. Data were collected using questionnaires created by the researcher between May 1 - September 30, 2021. Data were analyzed using descriptive statistics. Frequency, percentage, mean, standard deviation, median, 25th, and 75th percentiles were presented using inferential statistics to determine predictive factors using stepwise multiple regression analysis. The results revealed that, behaviors for prevention and control of Coronavirus Disease 2019 (COVID-19) of the people of Sisaket Province Overall, it was at a good level of 94.5 percent, there were 6 factors influencing the prevention and control behaviors of the people of Sisaket Province: their self-efficacy in disease prevention and control, their knowledge of the COVID-19, social support for disease prevention and control, lower secondary education levels, intentions about the prevention and control of the COVID-19, and vaccination against the COVID-19. They were able to jointly explain the variety of factors influencing the prevention and control behaviors of COVID-19 for the people of Sisaket Province by 29.30% (R2 = 0.293, R2adj = 0.280, SEest = 2.142, F = 22.860, p-value <0.001). Based on the research findings on behavior modification, prevention, and control of coronavirus 2019 infection among people in Sisaket Province, policies should take into account such factors.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
World Health Organization. WHO Coronavirus Disease (COVID-19) Dashboard. [Internet] 2020. [cited in 4 December, 2020]. Available from: https://covid19.who.int
World Health Organization. Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19). Department of Disease Control, Ministry of Public Health. Coronavirus Disease (COVID-19) Dashboard. [Internet] 2020. [cited in 8 December, 2020]. Available from: https://ddc.moph.go.th/index.php.
Haleem A, Javaid M, Vaishya R. Effects of COVID 19 pandemic in daily life. Current Medicine Research and Practice 2020; 10(2): 78-79.
Sintema EJ. Effect of COVID-19 on the performance of grade 12 students: Implications for STEM education. EURASIA Journal of Mathematics, Science and Technology Education 2020; 16(7): 12-24.
Kasetpiban N. A study of knowledge, attitudes and practices of people who have been infected with COVID-19 or those who are detained or self-quarantined and the social and economic impact of COVID-19. [Internet] 2020. [cited in 8 July, 2020]. Available from:
Satyanurak A, Wisetpreecha B, Pintattang P, Prichasilpakul S, Jitnirat N, Toadithep T, To a changing urban society. [Internet] 2020. [cited in 8 July, 2020]. Available from: https://www.isranews.org/article/isranews/download/18017/87576/18.html. (In Thai)
Wadood A, Mamun AS, Rafi A, Islam K, Mohd S, Lee LL, Hossain G. Knowledge, attitude, practice and perception regarding COVID-19 among students in Bangladesh: Survey in Rajshahi University. [Internet] 2020. [cited in 25 April, 2020]. Available from: https://www.medrxiv.org/content/10.1101/2020.04.21.20074757v1.full.pdf.
Austrian K, Pinchoff J, Tidwell JB, White C, Abuya T, Kangwana B, et al. COVID-19 related knowledge, attitudes, practices and needs of households in informal settlements in Nairobi, Kenya. [Internet] 2020. [cited in 8 December, 2020]. Available from: http://dx.doi.org/10.2139/ssrn.3576785.
Rahman A, Sathi NJ. Knowledge, attitude, and preventive practices toward COVID-19 among Bangladeshi internet users. J Gen Intern Med. 2020; 17(5): 20-32.
Barati M, Bashirian S, Jenabi E, Khazaei S, Karimi-Shahanjarini A, Zareian S, RezapurShahkolai F, Moeini B. Factors associated with preventive behaviours of COVID-19 among hospital staff in Iran in 2020: An application of the protection motivation theory. J Hosp Infect 2020; 105(3): 430-433.
Chaiwat T, Mai-Ngam N, Dumchuen N, Amesbutr J, Thana B, Chaisrilak C. Behavioral Economics on Life journey and Collective Action of Thai Household under COVID-19 Situation. [Internet] 2021. [cited in 2 May, 2021]. Available from: https://kb.hsri.or.th/dspace/bitstream/handle/11228/5233/hs2579.pdf?sequence=1&isAllowed=y. (In Thai)
Sisaket Provincial Public Health Office. Important information of Sisaket Province on Coronavirus Disease 2019 (Covid 19). Survey on self-defense behavior from Coronavirus Disease 2019 (Covid 19). [Internet] 2021. [cited in 22 August, 2021]. Available from: http://www.sisaket.go.th/covid19. (In Thai)
Health Center 10, Ubon Ratchathani. Survey of people’s health behaviors in the prevention of COVID-19. [Internet] 2021. [cited in 8 Setember, 2021]. Available from: https://bit.ly/3eGWyd. (In Thai)
Ken K, Scott E M. Sample Size for Multiple Regression: Obtaining Regression Coefficients That Are Accurate, Not Simply Significan. Psychological Methods 2003; 8(3): 305–321.
Cohen, J. Statistical power analysis for the behavior sciences (2nd ed). Hillsdale NJ: Lawrence Erlbaum; 1988.
Yenphoka S. Factors Affecting Prevention Behavior of 2009 Influenza of the Third Grade Students in Bangkok. Eastern Bangkok Area Group, Srinakharinwirot University; 2010. (In Thai)
Withoonsakul P, Chaisuwan C, Amornrat S. Factors influencing covid-19 infection prevention behavior of teachers and caregivers in child development centers. Nursing Science Journal of Thailand 2021; 39(4): 10-21. (In Thai)
Phlasak P. The management model of the coronavirus disease 2019 crisis in urban areas, Sisaket province. Journal of Health Systems Research and Development 2021; 14(2): 15-30. (In Thai)
Sribunruang W, Nilwattana T, Samransuk S, Asafe K, Raktae Ngam S, Spiller P. Factors affecting the behavior of preventing COVID-19 infection. of people in Bangkok. Udon Thani Rajabhat University Journal of the Humanities and Social Sciences 2021; 10(1): 195-206. (In Thai)
Chanpleng J, Diakhuntod S. A study of knowledge, attitude and behavior in prevention and control of COVID-19 among public health volunteers in villages, Ban Na District, Nakhon Nayok Province. KKU Journal of Social Development 2022; 7(1): 21-30. (In Thai)
Thamcharoen T, Lertwattanawilas W, Kaewthammanukul T. Attitudes, norms, reference groups behavior control perception and the
intention to prevent Middle Eastern respiratory infections of registered nurses. Nursing Message 2019; 46(3): 26-33. (In Thai)
Nakju S. Self-protection behavior from corona virus 2019 (COVID-19) infection of people in Bangkok. The Journal of Pacific Institute of Management Science 2021; 7(3): 151-160. (In Thai)