MétaCan
Menu
Back to cohort
Record W7036819676

Comparison of COVID-19 Vaccination Rollout Approaches across Canada

2023· article· en· W7036819676 on OpenAlexaffabout

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of ReginaUniversity of Toronto
Fundersnot available
KeywordsEntitlement (fair division)VaccinationPublic healthCorporate governanceNova scotiaTransparency (behavior)Workforce
DOInot available

Abstract

fetched live from OpenAlex

Across Canada, there were notable differences in the rollout of provincial/territorial COVID-19 vaccination programs, reflecting diverse sociodemographic profiles, geopolitical landscapes, health system designs, and pandemic experiences. We collected information regarding underlying principles and goals, governance and authority, transparency and diversity of communications, activities to strengthen infrastructure and workforce capacity, and entitlement and access in four diverse provinces (British Columbia, Saskatchewan, Ontario, Nova Scotia). Through cross-case analysis, we observed significant differences in provincial rollouts of the primary two-dose vaccination series in adults between December 2020 and December 2021. Nova Scotia was the only province to state explicit coverage goals and adhere to plans tying coverage to the relaxation of public health measures. Both Nova Scotia and British Columbia implemented fully centralized vaccination booking systems. In contrast, Saskatchewan's initial highly centralized approach enabled the rapid delivery of first doses; however, rollout of second doses was slower and more decentralized, occurring primarily through community pharmacies. In alignment with its decentralized health system, Ontario pursued a regionalized approach, primarily led by its existing public health unit network. Our research suggests explicit goals, centralized booking, and flexible delivery strategies improved uptake; however, ongoing learning will be crucial for informing the success of future vaccination efforts. Au Canada, le déploiement des programmes provinciaux et territoriaux de vaccination contre la COVID-19 présente des différences notables d'un océan à l'autre. Ces différences reflètent la diversité des profils sociodémographiques, des paysages géopolitiques, des conceptions du système de santé et des expériences pandémiques. Nous avons recueilli des renseignements sur les principes et les objectifs sous-jacents, la gouvernance et l'autorité, la transparence et la diversité des communications, les activités visant à renforcer l'infrastructure et la capacité de la main-d'œuvre ainsi que l'admissibilité et l'accès dans quatre provinces différentes (la Colombie-Britannique, la Saskatchewan, l'Ontario, la Nouvelle-Écosse). Grâce à une analyse transversale des études de cas, nous avons constaté d'importantes différences dans les déploiements provinciaux de la série de primovaccination à deux doses chez les adultes, entre décembre 2020 et décembre 2021. La Nouvelle-Écosse a été la seule province à énoncer des objectifs de couverture explicites et à adhérer à des plans liant la couverture à l'assouplissement des mesures de santé publique. La Nouvelle-Écosse et la Colombie-Britannique ont toutes deux mis en place des systèmes de réservation des vaccins entièrement centralisés. En revanche, l'approche initiale hautement centralisée de la Saskatchewan a permis la livraison rapide des premières doses. Toutefois, le déploiement des deuxièmes doses a été plus lent et plus décentralisé, s'effectuant principalement par le biais des pharmacies communautaires. Conformément à son système de santé décentralisé, l'Ontario a adopté une approche régionalisée, essentiellement dirigée par son réseau existant de bureaux de santé publique. Nos recherches suggèrent que des objectifs explicites, un système de réservation centralisée et des stratégies de prestation flexibles ont amélioré le taux de participation des citoyens. Mais une culture d'apprentissage continu jouera un rôle déterminant pour assurer le succès des futurs efforts de vaccination.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.896
Threshold uncertainty score0.756

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.425
GPT teacher head0.540
Teacher spread0.115 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicConservation, Biodiversity, and Resource ManagementFrench-language works237,207