인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
This study investigated geographic inequalities in COVID-19 incidence by age and gender, in Busan, Korea, during the pandemic. We used multilevel Poisson regression to analyze 24,498 COVID-19 cases reported in Busan from February 2020 to December 2021, examining individual-level variables (age and gender) and are-level deprivation, along with their interactions. Each unit increase in the deprivation index was associated with a 9% increase in cases among men aged 20–64, a 2% decrease among women aged 20–64, an 8% increase among boys aged 0–9, and a 4% decrease among men aged ≥65 (p<0.001). There was no gender differences in overall COVID-19 incidence at ages 0–9 (p=0.213). The effect of deprivation on COVID-19 incidence was consistently stronger in men than women across all age groups (p=0.047 for the overall interaction). This pattern resulted in gender differences that varied by age: higher incidence rates at ages 0–9, 10–19, and ≥ 65, while women had higher rates at ages 20–64. Our findings highlight the importance of considering area-level deprivation and sociodemographic factors when designing public health interventions, as their interactions significantly influence COVID-19 incidence patterns and health inequalities in vulnerable populations.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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