| Literature DB >> 34311842 |
Yong Dam Jeong1,2, Keisuke Ejima3, Kwang Su Kim1, Shoya Iwanami1, Ana I Bento3, Yasuhisa Fujita1, Il Hyo Jung2, Kazuyuki Aihara4, Koichi Watashi5,6,7, Taiga Miyazaki8,9, Takaji Wakita5, Shingo Iwami1,10,11,12,13, Marco Ajelli3,14.
Abstract
Since the start of the COVID-19 pandemic, two mainstream guidelines for defining when to end the isolation of SARS-CoV-2-infected individuals have been in use: the one-size-fits-all approach (i.e. patients are isolated for a fixed number of days) and the personalized approach (i.e. based on repeated testing of isolated patients). We use a mathematical framework to model within-host viral dynamics and test different criteria for ending isolation. By considering a fixed time of 10 days since symptom onset as the criterion for ending isolation, we estimated that the risk of releasing an individual who is still infectious is low (0-6.6%). However, this policy entails lengthy unnecessary isolations (4.8-8.3 days). In contrast, by using a personalized strategy, similar low risks can be reached with shorter prolonged isolations. The obtained findings provide a scientific rationale for policies on ending the isolation of SARS-CoV-2-infected individuals.Entities:
Keywords: COVID-19; SARS-CoV-2; human; infectious disease; isolation; mathematical model; microbiology; personalized medicine
Mesh:
Year: 2021 PMID: 34311842 PMCID: PMC8315804 DOI: 10.7554/eLife.69340
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140