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jcm9061641.pdf | 1.86 MB | Adobe PDF | 見る/開く |
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dc.contributor.author | Shim, Eunha | - |
dc.contributor.author | Mizumoto, Kenji | - |
dc.contributor.author | Choi, Wongyeong | - |
dc.contributor.author | Chowell, Gerardo | - |
dc.contributor.alternative | 水本, 憲治 | - |
dc.date.accessioned | 2021-01-18T05:03:57Z | - |
dc.date.available | 2021-01-18T05:03:57Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.issn | 2077-0383 | - |
dc.identifier.uri | http://hdl.handle.net/2433/261051 | - |
dc.description.abstract | Background: In Korea, a total of 10, 840 confirmed cases of COVID-19 including 256 deaths have been recorded as of May 9, 2020. The time-delay adjusted case fatality risk (CFR) of COVID-19 in Korea is yet to be estimated. Methods: We obtained the daily series of confirmed cases and deaths in Korea reported prior to May 9, 2020. Using statistical methods, we estimated the time-delay adjusted risk for death from COVID-19 in Daegu, Gyeongsangbuk-do, other regions in Korea, as well as the entire country. Results: Our model-based crude CFR fitted the observed data well throughout the course of the epidemic except for the very early stage in Gyeongsangbuk-do; this was partially due to the reporting delay. Our estimates of the risk of death in Gyeongsangbuk-do reached 25.9% (95% Credible Interval (CrI): 19.6%–33.6%), 20.8% (95% CrI: 18.1%–24.0%) in Daegu, and 1.7% (95% CrI: 1.1%–2.5%) in other regions, whereas the national estimate was 10.2% (95% CrI: 9.0%–11.5%). Conclusions: The latest estimates of CFR of COVID-19 in Korea are considerably high, even with the early implementation of public health interventions including widespread testing, social distancing, and delayed school openings. Geographic differences in the CFR are likely influenced by clusters tied to hospitals and nursing homes. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | MDPI AG | - |
dc.rights | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | - |
dc.subject | Coronavirus | - |
dc.subject | COVID-19 | - |
dc.subject | Korea | - |
dc.subject | fatality | - |
dc.subject | deaths | - |
dc.subject | case fatality risk | - |
dc.title | Estimating the Risk of COVID-19 Death During the Course of the Outbreak in Korea, February–May 2020 | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Journal of Clinical Medicine | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 6 | - |
dc.relation.doi | 10.3390/jcm9061641 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | 1641 | - |
dc.address | Department of Mathematics, Soongsil University | - |
dc.address | Department of Population Health Sciences, School of Public Health, Georgia State University・Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University・Hakubi Center for Advanced Research, Kyoto University | - |
dc.address | Department of Mathematics, Soongsil University | - |
dc.address | Department of Population Health Sciences, School of Public Health, Georgia State University | - |
dc.identifier.pmid | 32485871 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 15K20936 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
出現コレクション: | 学術雑誌掲載論文等 |
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