A critical look at synergies and fragmentations of universal health coverage, global health security, and health promotion in delivery of frontline health care services: A case study of Bangladesh
Bibliographic record
Abstract
Universal Health Coverage (UHC) and Global Health Security (GHS) activities encompass mitigation of risks to health and well-being rights posed by infectious disease outbreaks and facilitated by health promotion (HP) activities. This case study investigated Bangladesh's readiness and capacity to 'prevent, detect and respond' to such outbreaks of an epidemic/pandemic nature. A rapid review of relevant documents, key informant interviews with policymakers/practitioners, and a deliberative dialogue with a crisscross of stakeholders were used to identify challenges and opportunities for 'synergy' among these streams of activities. Findings reveal conceptual ambiguity among respondents about the scope of the three `agendas and their inter-linkages. They perceived the synergy between UHC and GHS superfluous and were obsessed with losing their respective constituencies and resources. Poor coordination among the focal agencies in field activities, lack of supporting infrastructure, and shortage of human and financial resources posed additional challenges for better pandemic/epidemic preparation in future. Funding: This study, "Researching the UHC-GHS-HP Triangle in Bangladesh," was funded by the Wellcome Trust, UK.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".