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1000 Titel
  • Epidemiology of COVID-19 and Predictors of Recovery in the Republic of Korea
1000 Autor/in
  1. Das, Ashis |
  2. Saraswathy Gopalan, saji |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-07-30
1000 Erschienen in
1000 Quellenangabe
  • 202:7291698
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1155/2020/7291698 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395990/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: The recent COVID-19 pandemic has emerged as a threat to global health. Though current evidence on the epidemiology of the disease is emerging, very little is known about the predictors of recovery. OBJECTIVES: To describe the epidemiology of confirmed COVID-19 patients in the Republic of Korea and identify predictors of recovery. MATERIALS AND METHODS: Using publicly available data for confirmed COVID-19 cases from the Korea Centers for Disease Control and Prevention from January 20, 2020, to April 30, 2020, we undertook descriptive analyses of cases stratified by sex, age group, place of exposure, date of confirmation, and province. Correlation was tested among all predictors (sex, age group, place of exposure, and province) with Pearson’s correlation coefficient. Associations between recovery from COVID-19 and predictors were estimated using a multivariable logistic regression model. RESULTS: Majority of the confirmed cases were females (56%), 20-29 age group (24.3%), and primarily from three provinces—Gyeongsangbuk-do (36.9%), Gyeonggi-do (20.5%), and Seoul (17.1%). The case fatality ratio was 2.1%, and 41.6% cases recovered. Older patients, patients from provinces such as Daegu, Gyeonggi-do, Gyeongsangbuk-do, Jeju-do, Jeollabuk-do, and Jeollanam-do, and those contracting the disease from healthcare settings had lower recovery. CONCLUSIONS: Our study adds to the very limited evidence base on potential predictors of recovery among confirmed COVID-19 cases. We call additional research to explore the predictors of recovery and support development of policies to protect the vulnerable patient groups.
1000 Sacherschließung
gnd 1206347392 COVID-19
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  1. https://orcid.org/0000-0002-7110-9463|https://orcid.org/0000-0003-1766-6135
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1000 Erstellt am 2020-08-17T16:03:57.219+0200
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