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タイトル: Designing isolation guidelines for COVID-19 patients with rapid antigen tests
著者: Jeong, Yong Dam
Ejima, Keisuke
Kim, Kwang Su
Joohyeon, Woo
Iwanami, Shoya
Fujita, Yasuhisa
Jung, Il Hyo
Aihara, Kazuyuki
Shibuya, Kenji
Iwami, Shingo
Bento, Ana I.
Ajelli, Marco
著者名の別形: 江島, 啓介
岩波, 翔也
藤田, 泰久
合原, 一幸
渋谷, 健司
岩見, 真吾
キーワード: Computational models
Viral infection
発行日: 2022
出版者: Springer Nature
誌名: Nature Communications
巻: 13
論文番号: 4910
抄録: Appropriate isolation guidelines for COVID-19 patients are warranted. Currently, isolating for fixed time is adopted in most countries. However, given the variability in viral dynamics between patients, some patients may no longer be infectious by the end of isolation, whereas others may still be infectious. Utilizing viral test results to determine isolation length would minimize both the risk of prematurely ending isolation of infectious patients and the unnecessary individual burden of redundant isolation of noninfectious patients. In this study, we develop a data-driven computational framework to compute the population-level risk and the burden of different isolation guidelines with rapid antigen tests (i.e., lateral flow tests). Here, we show that when the detection limit is higher than the infectiousness threshold values, additional consecutive negative results are needed to ascertain infectiousness status. Further, rapid antigen tests should be designed to have lower detection limits than infectiousness threshold values to minimize the length of prolonged isolation.
記述: 新型コロナウイルス感染者の隔離短縮は可能か?. 京都大学プレスリリース. 2022-08-24.
著作権等: © The Author(s) 2022
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
URI: http://hdl.handle.net/2433/276193
DOI(出版社版): 10.1038/s41467-022-32663-9
PubMed ID: 35987759
関連リンク: https://ashbi.kyoto-u.ac.jp/ja/news/20220820_research-result_iwami/
出現コレクション:学術雑誌掲載論文等

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