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Designing isolation guidelines for COVID-19 patients with rapid antigen tests

Author

Listed:
  • Yong Dam Jeong

    (Nagoya University
    Pusan National University)

  • Keisuke Ejima

    (Indiana University School of Public Health-Bloomington
    The Tokyo Foundation for Policy Research)

  • Kwang Su Kim

    (Nagoya University
    Pukyong National University)

  • Woo Joohyeon

    (Nagoya University)

  • Shoya Iwanami

    (Nagoya University)

  • Yasuhisa Fujita

    (Nagoya University)

  • Il Hyo Jung

    (Pusan National University)

  • Kazuyuki Aihara

    (The University of Tokyo)

  • Kenji Shibuya

    (The Tokyo Foundation for Policy Research)

  • Shingo Iwami

    (Nagoya University
    Kyushu University
    Kyoto University
    Japanese Foundation for Cancer Research (JFCR))

  • Ana I. Bento

    (Indiana University School of Public Health-Bloomington)

  • Marco Ajelli

    (Indiana University School of Public Health-Bloomington)

Abstract

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.

Suggested Citation

  • Yong Dam Jeong & Keisuke Ejima & Kwang Su Kim & Woo Joohyeon & Shoya Iwanami & Yasuhisa Fujita & Il Hyo Jung & Kazuyuki Aihara & Kenji Shibuya & Shingo Iwami & Ana I. Bento & Marco Ajelli, 2022. "Designing isolation guidelines for COVID-19 patients with rapid antigen tests," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32663-9
    DOI: 10.1038/s41467-022-32663-9
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    References listed on IDEAS

    as
    1. Quan-Hui Liu & Juanjuan Zhang & Cheng Peng & Maria Litvinova & Shudong Huang & Piero Poletti & Filippo Trentini & Giorgio Guzzetta & Valentina Marziano & Tao Zhou & Cecile Viboud & Ana I. Bento & Jian, 2022. "Model-based evaluation of alternative reactive class closure strategies against COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Stephen M Kissler & Joseph R Fauver & Christina Mack & Scott W Olesen & Caroline Tai & Kristin Y Shiue & Chaney C Kalinich & Sarah Jednak & Isabel M Ott & Chantal B F Vogels & Jay Wohlgemuth & James W, 2021. "Viral dynamics of acute SARS-CoV-2 infection and applications to diagnostic and public health strategies," PLOS Biology, Public Library of Science, vol. 19(7), pages 1-17, July.
    3. Alberto Aleta & David Martín-Corral & Ana Pastore y Piontti & Marco Ajelli & Maria Litvinova & Matteo Chinazzi & Natalie E. Dean & M. Elizabeth Halloran & Ira M. Longini Jr & Stefano Merler & Alex Pen, 2020. "Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19," Nature Human Behaviour, Nature, vol. 4(9), pages 964-971, September.
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    Cited by:

    1. Junya Sunagawa & Hyeongki Park & Kwang Su Kim & Ryo Komorizono & Sooyoun Choi & Lucia Ramirez Torres & Joohyeon Woo & Yong Dam Jeong & William S. Hart & Robin N. Thompson & Kazuyuki Aihara & Shingo Iw, 2023. "Isolation may select for earlier and higher peak viral load but shorter duration in SARS-CoV-2 evolution," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Yong Dam Jeong & William S. Hart & Robin N. Thompson & Masahiro Ishikane & Takara Nishiyama & Hyeongki Park & Noriko Iwamoto & Ayana Sakurai & Michiyo Suzuki & Kazuyuki Aihara & Koichi Watashi & Eline, 2024. "Modelling the effectiveness of an isolation strategy for managing mpox outbreaks with variable infectiousness profiles," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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