Open AccessGeneric Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience
Author(s) -
Hae-ryoung Chun,
Kyuhyun Yoon,
Hana Kim,
Eunsil Cheon,
Jaeyoung Ha,
Sangwoo Tak,
Sung-Il Cho
Publication year - 2021
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s336425
Subject(s) - pandemic , public health , social distance , enforcement , covid-19 , disease , outbreak , logic model , business , medicine , environmental health , infectious disease (medical specialty) , political science , public administration , virology , nursing , pathology , law
As the global coronavirus disease-2019 (COVID-19) pandemic continues, many countries have implemented public health policies, such as lockdowns and physical distancing measures, to prevent its spread. South Korea's response to COVID-19, which prevented an increase in confirmed cases and increased resilience, has been considered very effective.