Objectives: This study aimed to assess the factors associated with concerns about economic damage due to the COVID-19 pandemic. Methods: The total number of subjects was 205,589, as drawn from the 2021 Community Health Survey. Binary logistic regression analysis was used to identify the factors associated with concerns about economic damage due to the COVID-19 pandemic. Results: The finding indicates that concerns about economic damage due to the COVID-19 pandemic are high in the order of pink-collar job, blue-collar job, no occupation, and white-collar job. Sex, age, marital status, education level, residential area, family member, household income, smoking status, and unmet healthcare service were significant. Conclusions: The research results suggest that different administrative policies such as job support and psychological support should be applied because concerns about economic damage differs depending on job type.
목차
Ⅰ. 서론 Ⅱ. 연구방법 1. 자료원 2. 변수 3. 분석방법 Ⅲ. 연구결과 1. 연구대상자의 일반적 특성 2. COVID-19로 인한 경제적 피해 염려에 영향을 미치는 요인 Ⅳ. 고찰 Ⅴ. 결론 REFERENCES
키워드
Job TypesCOVID-19Economic Damage
저자
신단비 [ Dan-Bee Shin | 연세대학교 일반대학원 보건행정학과 ]
허민희 [ Min-Hee Heo | 연세대학교 일반대학원 보건행정학과 ]
김영진 [ Young-Jin Kim | 연세대학교 일반대학원 보건행정학과 ]
이정원 [ Jung-Won Lee | 연세대학교 일반대학원 보건행정학과 ]
문준원 [ Jun-Won Mun | 연세대학교 소프트웨어디지털헬스케어융합대학 보건행정학부 ]