The Impact of The COVID-19 Epidemic of The People in The Suan-Aoi Community Vajira Hospital Bangkok
Keywords:Effect, Prevention, Covid-19 Epidemic, Bangkok
This research aims to To study the prevention and impact of the COVID-19 epidemic, compare the impact of the Covid-19 epidemic, classified by personal factors, and study the relationship between disease prevention. with the impact caused by the spread of COVID-19 among the people in the sugar cane community, Wachira Hospital Bangkok This research is a quantitative research. The research sample consisted of approximately 1,313 people, and 307 people were randomly assigned, based on probability. The research tool was to collect questionnaires. The statistics used in the data analysis were percentage, mean, standard deviation. Statistics comparing the mean between 2 independent variables (t-Test), comparing the mean between 2 or more variables (F-Test) and Correlation Analysis. example Impact on the way of life as a whole at the highest level (x ̅ = 3.43) when considered as In each aspect, it was found that the sample group had the most economic impact (x ̅ = 3.43), followed by the social impact (x ̅ = 3.43). have the highest level of preventive behaviors against COVID-19 with a value of 3.43 considering each aspect found that Is the sample of masks sufficient for your needs? The value is 3.61. Comparison of the impact of the COVID-19 epidemic classified by personal factors found that The sample group had educational level, marital status, and total family income. and different professions There was a statistically significant difference in the impact of the spread of COVID-19 at the 0.05 level. And the study of the relationship between the prevention of COVID-19 and the impact caused by the spread of COVID-19 found that the relationship was at a high level (r=.708). It was the same direction relationship. When considering each aspect, it was found that economic impact The correlation was moderate (r=.554), it was the same direction relationship. social impact The correlation was at a high level (r=.612), a one-way relationship. health effects The correlation was at a high level (r=.726), a one-way relationship.