Accreditation's Role in Bolstering Resilience in the Face of the Zika Virus Outbreak
Bibliographic record
Abstract
The Florida Department of Health (Department) received accreditation status as an integrated public health system from the Public Health Accreditation Board (PHAB) in 2 phases: the State Health Office received accreditation in June 2014 and the 67 county health departments received accreditation in March 2016. Six weeks after PHAB awarded accreditation to the Department as an integrated public health system in March 2016, the World Health Organization declared the Zika outbreak in the Americas a Public Health Emergency of International Concern. Even in that short time, integrated public health accreditation, along with the other components of the Department's performance management system, allowed the Department to address this public health emergency, especially in Miami-Dade County, where the impact of Zika was significant. This case report describes the local response in Miami-Dade County and supporting statewide efforts. Public health departments should consider how public health accreditation could strengthen their ability to fulfill their public health mission. This article provides rationale for state and local health departments to seek accreditation.
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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 | 0.026 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".