Public Health Protection Continuity of Operations During the Evacuation and Return to Community Phases of the Unprecedented Evacuation of Two-thirds of the Northwest Territories, Canada, 2023
Bibliographic record
Abstract
Abstract Objective In August 2023, 68% (n=25,900) of the Northwest Territories, Canada, evacuated from wildfires, including the never previously evacuated capital, Yellowknife. Official evacuation orders extended from August 16 to September 6 for this region, impacting health protection services (HPS) in the Territory for remaining residents, and risks on return. Methods The Office of the Chief Public Health Officer (OCPHO) reviewed and implemented priorities over a three-day period prior to the evacuation order for time critical HPS to continue remotely or transfer to receiving jurisdictions. On return to community, OCPHO implemented processes for reviewing surveillance objectives to assess for impacts to affected populations. Results During evacuation, over 15 reports of animal exposures were assessed remotely for rabies prophylaxis. Individuals requiring sexually transmitted infection (STI) follow-up were referred to receiving jurisdictions. One patient with infectious tuberculosis was transferred to another province. Water plant operators were supported with new communication and out-of-Territory testing protocols. On return, enhanced surveillance included: respiratory viruses, STI and blood borne infections, gastrointestinal illness, and toxic drug supplies. Conclusions While some HPS continued to mitigate risks, future surveillance will assess the scale of impacts. Updates to continuity of operations plans need to include considerations for remote and local services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".