Quantifying the impact of quarantine duration on COVID-19 transmission

  1. Peter Ashcroft  Is a corresponding author
  2. Sonja Lehtinen
  3. Daniel C Angst
  4. Nicola Low
  5. Sebastian Bonhoeffer  Is a corresponding author
  1. ETH Zurich, Switzerland
  2. University of Bern, Switzerland

Abstract

The large number of individuals placed into quarantine because of possible SARS CoV-2 exposure has high societal and economic costs. There is ongoing debate about the appropriate duration of quarantine, particularly since the fraction of individuals who eventually test positive is perceived as being low. We use empirically determined distributions of incubation period, infectivity, and generation time to quantify how the duration of quarantine affects onward transmission from traced contacts of confirmed SARS-CoV-2 cases and from returning travellers. We also consider the roles of testing followed by release if negative (test-and-release), reinforced hygiene, adherence, and symptoms in calculating quarantine efficacy. We show that there are quarantine strategies based on a test-and-release protocol that, from an epidemiological viewpoint, perform almost as well as a 10 day quarantine, but with fewer person days spent in quarantine. The findings apply to both travellers and contacts, but the specifics depend on the context.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. These files are available on github (https://github.com/ashcroftp/quarantine2020/) and archived at https://doi.org/10.5281/zenodo.4498169.

Article and author information

Author details

  1. Peter Ashcroft

    Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
    For correspondence
    peter.ashcroft@env.ethz.ch
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4067-7692
  2. Sonja Lehtinen

    Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4236-828X
  3. Daniel C Angst

    Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6512-4595
  4. Nicola Low

    University of Bern, Bern, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
  5. Sebastian Bonhoeffer

    Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
    For correspondence
    seb@env.ethz.ch
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8052-3925

Funding

H2020 European Research Council (EpiPose,101003688)

  • Nicola Low

Swiss National Science Foundation (176233)

  • Nicola Low

Swiss National Science Foundation (176401)

  • Sebastian Bonhoeffer

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2021, Ashcroft et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 12,851
    views
  • 704
    downloads
  • 67
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Peter Ashcroft
  2. Sonja Lehtinen
  3. Daniel C Angst
  4. Nicola Low
  5. Sebastian Bonhoeffer
(2021)
Quantifying the impact of quarantine duration on COVID-19 transmission
eLife 10:e63704.
https://doi.org/10.7554/eLife.63704

Share this article

https://doi.org/10.7554/eLife.63704

Further reading

    1. Epidemiology and Global Health
    2. Medicine
    3. Microbiology and Infectious Disease
    Edited by Diane M Harper et al.
    Collection

    eLife has published the following articles on SARS-CoV-2 and COVID-19.

    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease
    Felix Lankester, Tito J Kibona ... Sarah Cleaveland
    Research Article

    Lack of data on the aetiology of livestock diseases constrains effective interventions to improve livelihoods, food security and public health. Livestock abortion is an important disease syndrome affecting productivity and public health. Several pathogens are associated with livestock abortions but across Africa surveillance data rarely include information from abortions, little is known about aetiology and impacts, and data are not available to inform interventions. This paper describes outcomes from a surveillance platform established in Tanzania spanning pastoral, agropastoral and smallholder systems to investigate causes and impacts of livestock abortion. Abortion events were reported by farmers to livestock field officers (LFO) and on to investigation teams. Events were included if the research team or LFO could attend within 72 hr. If so, samples and questionnaire data were collected to investigate (a) determinants of attribution; (b) patterns of events, including species and breed, previous abortion history, and seasonality; (c) determinants of reporting, investigation and attribution; (d) cases involving zoonotic pathogens. Between 2017–2019, 215 events in cattle (n=71), sheep (n=44), and goats (n=100) were investigated. Attribution, achieved for 19.5% of cases, was significantly affected by delays in obtaining samples. Histopathology proved less useful than PCR due to rapid deterioration of samples. Vaginal swabs provided practical and sensitive material for pathogen detection. Livestock abortion surveillance, even at a small scale, can generate valuable information on causes of disease outbreaks, reproductive losses and can identify pathogens not easily captured through other forms of livestock disease surveillance. This study demonstrated the feasibility of establishing a surveillance system, achieved through engagement of community-based field officers, establishment of practical sample collection and application of molecular diagnostic platforms.