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How to improve adherence with quarantine: rapid review of the evidence
Open accessPublished version of a preprint
Abstract
OBJECTIVES: The December 2019 outbreak of coronavirus has once again thrown the vexed issue of quarantine into the spotlight, with many countries asking their citizens to 'self-isolate' if they have potentially come into contact with the infection. However, adhering to quarantine is difficult. Decisions on how to apply quarantine should be based on the best available evidence to increase the likelihood of people adhering to protocols. We conducted a rapid review to identify factors associated with adherence to quarantine during infectious disease outbreaks. STUDY DESIGN: The study design is a rapid evidence review. METHODS: We searched Medline, PsycINFO and Web of Science for published literature on the reasons for and factors associated with adherence to quarantine during an infectious disease outbreak. RESULTS: We found 3163 articles and included 14 in the review. Adherence to quarantine ranged from as little as 0 up to 92.8%. The main factors which influenced or were associated with adherence decisions were the knowledge people had about the disease and quarantine procedure, social norms, perceived benefits of quarantine and perceived risk of the disease, as well as practical issues such as running out of supplies or the financial consequences of being out of work. CONCLUSIONS: People vary in their adherence to quarantine during infectious disease outbreaks. To improve this, public health officials should provide a timely, clear rationale for quarantine and information about protocols; emphasise social norms to encourage this altruistic behaviour; increase the perceived benefit that engaging in quarantine will have on public health; and ensure that sufficient supplies of food, medication and other essentials are provided.
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“Consistent with previous studies,10,36,37 our review presents a range of negative psychological impacts of mass quarantine, such as low life satisfaction, emotional isolation and fear of infection.23–25,30,32,34,35”
From Social consequences of mass quarantine during epidemics: a systematic review with implications for the COVID-19 response (2020) · cites this paper as [37]
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Metadata
- Authors
- Webster, R. K., Brooks, S. K., Smith, L. E., Woodland, L., Wessely, S., & Rubin, G. J.
- Affiliations
- University of Sheffield (GB)
- King's College London (GB)
- Corresponding author
- Webster, R.K.
- Venue
- Public Health
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 182
- Pages
- 163-169
- ISSN
- 0033-3506 (ISSN-L)
- PMC
- PMC7194967
- OpenAlex
- W3012344084
- Cited by
- 422
- References
- 33
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 39 · 2023: 43 · 2022: 85 · 2021: 148 · 2020: 79
- FWCI
- 15.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Public Health (publishedVersion, cc-by-nc-nd)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
- OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- National Institute for Health Research
- Topics
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Public Health Policies and Education
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- self-isolation, infectious disease outbreaks, COVID-19 pandemic, social norms, risk perception, perceived benefits, public health communication, altruism
- MeSH terms
- COVID-19, Culture, Disease Outbreaks, Humans, Health Knowledge, Attitudes, Practice, Pneumonia, Viral, Public Health, Quarantine, Time Factors, Coronavirus Infections, Guideline Adherence, Pandemics, Sociological Factors, Social Norms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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