Surveillance and Management Model for Coronavirus discase 2019, Kantharalak District, Sisaket Province

Abstract

     This research was an action research using PAOR circuit. To study the Model of surveillance and management of COVID-19 Kantharalak District, Sisaket Province. Population and sample The drive group to create a model for COVID-19 surveillance and management of 50 people and the outcome assessment group, 380 people at risk for COVID-19, were collected by questionnaire. Data were analyzed by descriptive statistics such as number, percentage, mean and standard deviation. Inferential statistics comparison of COVID-19 prevention behaviors Before and after the operation, pair t-test was used to determine the level of statistical  significance at p < 0.05.

     Research results, Model of surveillance and management of COVID-19 Kantharalak District, Sisaket Province: Model of P CAN ID consists of 1 . Participation of relevant organizations, agencies and parties (P: Participation) 2 . Arrangement of consultations on the management of COVID-19 Mini EOC at district level (C:COVID-19) 3. Data Management for Coronavirus Disease Surveillance 2019 (D: Data Management) 4. Construction of a Surveillance Network to Prevent COVID-19 (N: Network) 5. Developing Potential Disease investigation team at district/sub-district level (I: Investigation) 6. Building awareness of COVID-19 prevention (A: Awareness) resulted in high level of people's disease prevention behavior. before operating Preventive behaviors for COVID-19 Most of them are at a high level of 323 people, 85 percent after the operation. Preventive behaviors for COVID-19 Most of them were at a high level, of which 374 people, 98.42%, had a 13% increase in disease prevention behaviors. 42 and differed at the level of statistical significance of 0.05 after the operation. Has a higher average score than before the operation is 0.28