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Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control,Health System,and Disease Burden,South Korea
Authors:Hae-Young Kim  In-Hwan Oh  Jacob Lee  Jeong-Yeon Seon  Woo-Hwi Jeon  Jae Seok Park  Sung-Il Nam  Niket Thakkar  Prashanth Selvaraj  Jessica McGillen  Daniel Klein  Scott Braithwaite  Anna Bershteyn  Seung Heon Lee
Abstract:We reviewed the timeline of key policies for control of the coronavirus disease epidemic and determined their impact on the epidemic and hospital burden in South Korea. Using a discrete stochastic transmission model, we estimated that multilevel policies, including extensive testing, contact tracing, and quarantine, reduced contact rates by 90% and rapidly decreased the epidemic in Daegu and nationwide during February‒March 2020. Absence of these prompt responses could have resulted in a >10-fold increase in infections, hospitalizations, and deaths by May 15, 2020, relative to the status quo. The model suggests that reallocation of persons who have mild or asymptomatic cases to community treatment centers helped avoid overwhelming hospital capacity and enabled healthcare workers to provide care for more severely and critically ill patients in hospital beds and negative-pressure intensive care units. As small outbreaks continue to occur, contact tracing and maintenance of hospital capacity are needed.
Keywords:coronavirus disease   COVID-19   severe acute respiratory syndrome coronavirus 2   SARS-CoV-2   coronaviruses   viruses   respiratory infections   epidemic model   infection control   mathematical modelling   zoonoses   South Korea
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