Loss of Paramedic Availability in an Urban Emergency Medical Services System during a Severe Acute Respiratory Syndrome Outbreak
Bibliographic record
Abstract
OBJECTIVES: To describe the loss of paramedic availability to Toronto Emergency Medical Services during a biphasic (SARS-1 and SARS-2) outbreak of severe acute respiratory syndrome (SARS). METHODS: During the SARS outbreak, a dedicated paramedic surveillance and quarantine program was developed. The authors determined the number of paramedics on quarantine each day, the type of quarantine (either home quarantine [HQ] or work quarantine [WQ]), and the development of SARS-like symptoms. RESULTS: During the SARS outbreak, there were five cases of probable SARS and three cases of suspect SARS. SARS-1 lasted 30 days, during which 234 paramedics were placed on HQ. The total number of HQ days was 1,615. During the five peak days of SARS-1, the total number of HQ days was 664. SARS-2 lasted 18 days, during which 292 paramedics were placed on either HQ or WQ, for a combined number of quarantine days of 1,637. During the five peak days of SARS-2, the combined number of quarantine days was 910. Of these, paramedics were available for duty on 708 days (78%) due to the WQ program. The primary reason for quarantine was unprotected exposure to a health care institution experiencing a SARS outbreak. Under quarantine, SARS-like symptoms developed in 68 paramedics, including cough (53 [78%]), myalgia (33 [48%]), fatigue (30 [44%]), headache (29 [43%]), fever (11 [16%]), and shortness of breath (7 [10%]). CONCLUSIONS: Paramedics were among the health care workers who developed SARS. During SARS-2, WQ optimized the number of days on which paramedics were available for duty. Many paramedics developed SARS-like symptoms without being diagnosed as having SARS. A dedicated paramedic surveillance and quarantine program provided a useful means to manage the paramedic resource during the SARS outbreak.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".