지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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Objectives: Previous pandemics have demonstrated that several demographic, geographic, and socioeconomic factors may play a role in increased infection risk. During this current coronavirus disease 2019 (COVID-19) pandemic, our aim was to examine the association of timing of lockdown at the county level and aforementioned risk factors with daily case rate (DCR) in the United States. Methods: A cross-sectional study using publicly available data was performed including Americans with COVID-19 infection as of May 24, 2020. The United States counties with >100 000 population and >50 cases per 100 000 people were included. The independent variable was the days required from the declaration of lockdown to reach the target case rate (50/100 000 cases) while the dependent (outcome) variable was the DCR per 100 000 on the day of statistical calculation (May 24, 2020) after adjusting for multiple confounding socio-demographic, geographic, and health-related factors. Each independent factor was correlated with outcome variables and assessed for collinearity with each other. Subsequently, all factors with significant association to the outcome variable were included in multiple linear regression models using stepwise method. Models with best R2 value from the multiple regression were chosen. Results: The timing of mandated lockdown order had the most significant association on the DCR per 100 000 after adjusting for multiple socio-demographic, geographic and health-related factors. Additional factors with significant association with increased DCR include rate of uninsured and unemployment. Conclusions: The timing of lockdown order was significantly associated with the spread of COVID-19 at the county level in the United States.
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등록된 정보가 없습니다.
참고문헌 (16)
참고문헌 신청
Wang C / 2020 / A novel coronavirus outbreak of global health concern / Lancet 395(10223):470~473
Holshue ML / 2020 / First case of 2019 novel coronavirus in the United States / N Engl J Med 382(10):929~936
Penman-Aguilar A / 2016 / Measurement of health disparities, health inequities, and social determinants of health to support the advancement of health equity / J Public Health Manag Pract 22(Suppl 1):S33~S42
Lowcock EC / 2012 / The social determinants of health and pandemic H1N1 2009 influenza severity / Am J Public Health 102(8):e51~e58
Steinmeyer SH / 2010 / Methods of modelling viral disease dynamics across the within-and between-host scales : the impact of virus dose on host population immunity / Philos Trans R Soc Lond B Biol Sci 365(1548):1931~1941
Holshue ML / 2020 / First case of 2019 novel coronavirus in the United States / N Engl J Med 382(10):929~936
Penman-Aguilar A / 2016 / Measurement of health disparities, health inequities, and social determinants of health to support the advancement of health equity / J Public Health Manag Pract 22(Suppl 1):S33~S42
Lowcock EC / 2012 / The social determinants of health and pandemic H1N1 2009 influenza severity / Am J Public Health 102(8):e51~e58
Steinmeyer SH / 2010 / Methods of modelling viral disease dynamics across the within-and between-host scales : the impact of virus dose on host population immunity / Philos Trans R Soc Lond B Biol Sci 365(1548):1931~1941
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