MétaCan
Menu
Back to cohort

Risk Perception and Compliance With Quarantine During the SARS Outbreak

2005· article· en· W1995553905 on OpenAlexaffabout
Maureen Cava, Krissa E. Fay, Heather Beanlands, Elizabeth McCay, Rouleen Wignall

Bibliographic record

VenueJournal of Nursing Scholarship · 2005
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsSNC-Lavalin (Canada)Toronto Metropolitan UniversityToronto Public Health
Fundersnot available
KeywordsQuarantineDenialCredibilityOutbreakMedicineCompliance (psychology)Public healthQualitative researchFocus groupEnvironmental healthInfectious disease (medical specialty)PsychologyNursingBusinessDiseaseSocial psychologyVirologyPolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.097
GPT teacher head0.430
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations195
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Nursing ScholarshipSame topicCOVID-19 and Mental HealthFrench-language works237,207