The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Risk Perception and Compliance With Quarantine During the SARS Outbreak
Abstract
Purpose: To explore the experience of being on quarantine for severe acute respiratory syndrome (SARS) with a focus on the relationship between perceived risk of contracting SARS and reported compliance with the quarantine order and protocols. Design: Descriptive, qualitative. Methods: Semi‐structured interviews were conducted with people who had been quarantined during the SARS outbreak in Toronto in 2003. Data analysis was completed using an iterative and collaborative approach of reading and re‐reading the transcribed interviews, identifying common themes, and comparing and contrasting the data. Findings: To varying extents, participants wavered between fear and denial about their risk of contracting or spreading SARS. Reported compliance with the actual quarantine order was high. However, within households quarantine protocols were followed unevenly. Conclusions: This research indicates the need for greater credibility in public health communications to increase compliance with quarantine protocols and to contain outbreaks of new and deadly infectious diseases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Social Learning Theory and the Health Belief Model
Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988) · Health Education Quarterly · doi:10.1177/109019818801500203 · Cited by 5,564
SARS control and psychological effects of quarantine, Toronto, Canada
Hawryluck, L., Gold, W. L., Robinson, S., Pogorski, S., Galea, S., & Styra, R. (2004) · Emerging Infectious Diseases · doi:10.3201/eid1007.030703 · Cited by 1,929
Factors influencing compliance with quarantine in Toronto during the 2003 SARS outbreak
DiGiovanni, C., Conley, J., Chiu, D., & Zaborski, J. (2004) · Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science · doi:10.1089/bsp.2004.2.265 · Cited by 483
The public’s response to severe acute respiratory syndrome in Toronto and the United States
Blendon, R. J., Benson, J. M., DesRoches, C. M., Raleigh, E., & Taylor‐Clark, K. (2004) · Clinical Infectious Diseases · doi:10.1086/382355 · Cited by 393
Gostin, L. O., Bayer, R., & Fairchild, A. L. (2003) · JAMA · doi:10.1001/jama.290.24.3229 · Cited by 240
Cited by
Effective messages in vaccine promotion: a randomized trial
Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014) · Pediatrics · doi:10.1542/peds.2013-2365 · Cited by 1,300
Physical interventions to interrupt or reduce the spread of respiratory viruses
Jefferson, T., Del Mar, C. B., Dooley, L., Ferroni, E., Al-Ansary, L. A., Bawazeer, G. A., van Driel, M. L., Nair, N. S., Jones, M. A., Thorning, S., et al. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006207.pub4 · Cited by 805
Does Density Aggravate the COVID-19 Pandemic?: Early Findings and Lessons for Planners
Hamidi, S., Sabouri, S., & Ewing, R. (2020) · Journal of the American Planning Association · doi:10.1080/01944363.2020.1777891 · Cited by 733
Effective Health Risk Communication About Pandemic Influenza for Vulnerable Populations
Vaughan, E., & Tinker, T. (2009) · American Journal of Public Health · doi:10.2105/ajph.2009.162537 · Cited by 530
How to improve adherence with quarantine: rapid review of the evidence
Webster, R. K., Brooks, S. K., Smith, L. E., Woodland, L., Wessely, S., & Rubin, G. J. (2020) · Public Health · doi:10.1016/j.puhe.2020.03.007 · Cited by 422
Metadata
- Authors
- Cava, M. A., Fay, K. E., Beanlands, H. J., McCay, E. A., & Wignall, R.
- Venue
- Journal of Nursing Scholarship
- Publisher
- Wiley
- Published
- 2005-11-10
- Volume
- 37
- Issue
- 4
- Pages
- 343-347
- ISSN
- 0363-2792 (ISSN-L)
- 1527-6546
- 1547-5069
- OpenAlex
- W1995553905
- Cited by
- 188
- References
- 5
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Risk Perception and Compliance With Quarantine During the SARS Outbreak. https://app.cochat.ai/papers/10.1111/j.1547-5069.2005.00059.x
- The paper
- Cava, M. A., Fay, K. E., Beanlands, H. J., McCay, E. A., & Wignall, R. (2005). Risk Perception and Compliance With Quarantine During the SARS Outbreak. Journal of Nursing Scholarship. https://doi.org/10.1111/j.1547-5069.2005.00059.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.