A Modelling Study of COVID-19 Surveillance, Prevention and Control Strategies Lamae District, Chumphon: A Mixed Method Study

Abstract

Background: The current situation of coronavirus disease 2019 that has announcement to a local disease due to the effectiveness of disease surveillance, prevention, and control. The researcher is interesting the study of the surveillance, prevention, and control model for coronavirus disease 2019 at the district level, to use to examine for guidelines to management of emerging diseases in the future.

Objectives: To study factors, prevention and control behaviors that are related to coronavirus disease 2019 and to study the factors and suitable models for surveillance, prevention and control of the disease at the district level.

Materials and Method: This mixed method research used 310 samples for the quantitative research and 30 people for the qualitative research. Data were collected using a questionnaire and semi structured interview and analyzed by both descriptive and inferential statistics to calculate the Pearson and Spearman correlation coefficients.

Results: The sample group had a moderate level of knowledge about coronavirus 2019 disease and had very good disease prevention and control behavior. Age factor, education level and general knowledge level had a low relationship with behavior for prevention and control of coronavirus 2019 disease (r = 0.154, 0.121 0.158, respectively) The results of the qualitative study found that there is a system and mechanism for disease surveillance, prevention, and control in the situation of the outbreak of coronavirus disease 2019 at the district level with integrated work of all agencies in every sector. Including the cooperation of people in the area. Both public health measures public relations medical preparation law enforcement According to the Communicable Diseases Act Including the people having good knowledge Able to prevent and control the spread of coronavirus disease 2019 well.

Conclusion: A model for surveillance, prevention, and control of coronavirus 2019 disease at the district level that is appropriate for the district context with integrating of all agencies in every sector. Age factor, education level and general knowledge level had a relationship with behavior for prevention and control of coronavirus 2019 disease.