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Record W4281287186 · doi:10.1136/bmjgh-2022-isph.30

165:oral The role of priority setting in pandemic preparedness and response: a comparative analysis of COVID-19 pandemic plans in 12 countries in the Eastern Mediterranean region

2022· article· en· W4281287186 on OpenAlex
Donya Razavi, Mariam Noorulhuda, Claudia Marcela Vélez, Lydia Kapiriri

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAbstracts · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPandemicRefugeePreparednessContext (archaeology)GeographyInternally displaced personPolitical scienceEnvironmental healthEconomic growthPopulationBusinessMedicineDevelopment economicsCoronavirus disease 2019 (COVID-19)EconomicsDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

<h3>Background</h3> The COVID-19 pandemic has significantly disrupted health systems in the Eastern Mediterranean Region (WHO-EMRO), where over half of the countries are affected by armed conflict. Active humanitarian and refugee crises have led to mass population displacement and increased health system fragility. This has exacerbated pre-existing resource gaps and increased competition for meager resources. With large proportions of vulnerable populations - refugees, migrants, and internally displaced people (IDPs) - their explicit consideration in planning documents is critical if equitable priority setting is to be realized during the pandemic. We examine what and how priority setting (PS) was included in national COVID-19 pandemic plans within the region. <h3>Methods</h3> An analysis of COVID-19 pandemic response and preparedness planning documents from a sample of twelve purposively selected countries in WHO-EMRO. We assessed the degree to which documented PS processes adhere to twenty established quality indicators of effective PS from Kapiriri &amp; Martin’s framework. <h3>Results</h3> While all reviewed plans addressed some aspect of PS, none included all quality parameters. Yemen’s plan included the most quality parameters (12), while Egypt’s addressed the least (4). Publicity of priorities was common to all plans. The next mostly commonly identified parameter was use of evidence to guide planning and PS. When considering equity as a PS criterion, despite the high concentration of refugees, migrant, and IDPs in the region, only a quarter of the plans prioritized these populations. <h3>Discussion</h3> When setting priorities in health emergencies, context is paramount. In areas experiencing conflict and crisis, PS can be an undemocratic and challenging process. Health system fragmentation is key contributor to COVID-19 inequities experienced across the EMRO region. Limited prioritization of vulnerable groups like refugees, migrant, and IDPs in planning documents, will have long-term health implications and exacerbate the disproportionate burden of COVID illness and death for these groups.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.104
GPT teacher head0.328
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it