Response to the 2009 H1N1 influenza pandemic: Manitoba public health nurses' experience
Bibliographic record
Abstract
During the 2009 H1N1 influenza pandemic, public health nurses (PHNs) were called upon to protect their communities against a deadly influenza virus. Currently, there appears to be no literature that describes the experience of Canadian PHNs responding to the first influenza pandemic of the 21st century. A qualitative research study was conducted and the data were analyzed by using content analysis. Thirteen nurses were interviewed from an Urban, Rural and Northern health region in Manitoba. Focus groups were conducted for the Urban and Rural nurses while Northern nurses were interviewed by telephone. Communication and dissemination of information, personal and professional challenges, personal face of the pandemic, regional support and lessons learned were themes generated from the data analysis. Communication and information flow was a major theme that impacted the overall PHNs’ response experience. Practice, administration, research and education implications and the limitations of the study are presented in the study.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".