Development of Prevention Spreading of Corona Virus Infectious Disease (COVID-19) by the Participation Model in Nong Bo Sub-District, Muang Ubon Ratchathani District, Ubon Ratchathani Province

Abstract

The objectives of this research were to: 1) study the current conditions, obstacles, and guidelines for surveillance and prevention of Coronavirus Disease 2019, 2) develop
a surveillance model for the prevention of Coronavirus Disease 2019, and 3) present the results of using the surveillance model for prevention of Coronavirus Disease 2019 through community participation in Nong Bo Sub-District, Muang District, Ubon Ratchathani Province. The sample group consisted of public health personnel and network partners, totaling 74 people, and a group for model evaluation, totaling 267 people. The tools used were focus group recordings, questionnaires, and satisfaction assessment forms. Data were analyzed using descriptive statistics, Paired Sample t-test statistics, and content analysis.

The results of the researchrevealed that 1) the old format was implemented according to the guidelines and measures of the Mueang District Communicable Disease Control Committee, aligning with the policy of the Communicable Disease Control Department. The Ministry of Public Health specifies that officials in the area face increased workloads, lack confidence in performing their duties, and encounter challenges due to community members’ lack of knowledge and understanding regarding contact tracing and preventing coronavirus disease 2019, which leads to insufficient community participation. 2) The new model derived from the study is a surveillance model for preventing coronavirus disease 2019, comprising 5 measures: Measure 1 involves follow-up surveillance to prevent disease in the community. Measure 2 focuses on strengthening knowledge about the disease. Measure 3 aims to promote community participation in disease surveillance. Measure 4 addresses forwarding/treatment, while Measure 5 involves creating a disease surveillance network in the community. 3) The results from using the model show improvements in knowledge about coronavirus disease 2019, surveillance behavior to prevent coronavirus disease 2019, and participation in its prevention and control efforts. These improvements are statistically significant at the 0.05 level (P<0.001, 95% CI = 2.91-3.29 for knowledge, P<0.001, 95% CI = 0.28-0.12 for surveillance behavior, and P<0.001, 95% CI = 0.62-0.50 for participation).