A5033988318- COVID-19 epidemiological studies
- COVID-19 and healthcare impacts
- COVID-19 Clinical Research Studies
- Analytic and geometric function theory
Yonsei University
2020
Pukyong National University
2014
Background South Korea is one of the few countries that has succeeded in flattening curve new COVID-19 cases and avoiding a second outbreak by implementing multiple strategies, ranging from an individual level to population level. Objective We aim discuss unique strategies epidemiological characteristics present summary policies implemented Korean government during pandemic. Methods designed cross-sectional study data published Centers for Disease Control Prevention on October 1, 2020....
Background: Coronavirus Disease 2019 (COVID-19) caused by the novel virus named SARS-CoV-2 have been reported worldwide. The outbreak of COVID-19 in South Korea, located next to China, started on January 20th, 2020, and number infected cases has increased rapidly. In this study, we aimed report epidemiological characteristics transmission disease discuss Korean government society's responses outbreak.Methods: We collected demographic epidemiologic data from daily update published Korea...
Abstract In the present paper, we obtain some mapping and inclusion properties for subclasses of analytic functions by using a linear operator defined Gaussian hypergeometric function. MSC: 30C45.
<sec> <title>BACKGROUND</title> South Korea is one of the few countries that has succeeded in flattening curve new COVID-19 cases and avoiding a second outbreak by implementing multiple strategies, ranging from an individual level to population level. </sec> <title>OBJECTIVE</title> We aim discuss unique strategies epidemiological characteristics present summary policies implemented Korean government during pandemic. <title>METHODS</title> designed cross-sectional study data published...