The role of the hotel industry in the response to emerging epidemics: a case study of SARS in 2003 and H1N1 swine flu in 2009 in Hong Kong
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The global travel and tourism industry has been rapidly expanding in the past decades. The traditional focus on border screening, and by airline and cruise industries may be inadequate due to the incubation period of an infectious disease. This case study highlights the potential role of the hotel industry in epidemic preparedness and response. METHODS: This case study focuses on the epidemic outbreaks of SARS in 2003 and H1N1 swine flu in 2009 in Hong Kong, and the subsequent guidelines published by the health authority in relation to the hotel industry in Hong Kong which provide the backbone for discussion. RESULTS: The Metropole Hotel hastened the international spread of the 2003 SARS outbreak by the index case infecting visitors from Singapore, Vietnam, Canada as well as local people via close contact with the index case and the environmental contamination. The one-week quarantine of more than 300 guests and staff at the Metropark Hotel during the 2009 H1N1 swine flu exposed gaps in the partnership with the hotel industry. The subsequent guidelines for the hotel industry from the Centre of Health Protection focused largely on the maintenance of hygiene within the hotel premises. CONCLUSION: Positive collaborations may bring about effective preparedness across the health and the tourism sectors for future epidemics. Regular hygiene surveillance at hotel facilities, and developing coordination mechanism for impending epidemics on the use of screening, swift reporting and isolation of infected persons may help mitigate the impact of future events. Preparedness and contingency plans for infectious disease control for the hotel industry requires continuous engagement and dialogue.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it