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Record W4399779973 · doi:10.1108/ijoph-01-2024-0002

COVID-19 in correctional facilities in Ontario, Canada: a retrospective epidemiological analysis from 15 January 2020 to 31 December 2022

2024· article· en· W4399779973 on OpenAlexaffabout
Austin Zygmunt, Kahiye Warsame, Richard G Mather, Lori McKinnon, Anne Philipneri, Stone Li, Sandya Menon

Bibliographic record

VenueInternational Journal of Prison Health · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsQueen's UniversityPublic Health OntarioNOSM UniversityOttawa Public HealthUniversity of Ottawa
Fundersnot available
KeywordsMedicineIncidence (geometry)PandemicPopulationEpidemiologyCoronavirus disease 2019 (COVID-19)CensusOutbreakDemographyEnvironmental healthInfectious disease (medical specialty)DiseaseVirology

Abstract

fetched live from OpenAlex

Purpose The physical environment of correctional facilities promote infectious disease transmission and outbreaks. The purpose of this study is to compare the COVID-19 burden between the correctional facility (incarcerated individuals and staff members) and non-correctional facility population in Ontario during the COVID-19 pandemic. Design/methodology/approach All individuals in Ontario with a laboratory confirmation of SARS-CoV-2 between 15 January 2020 and 31 December 2022 and entered into the provincial COVID-19 data were included. Cases were classified as a correctional facility case (living or working in a correctional facility) or a non-correctional facility case. COVID-19 vaccination status was obtained from the provincial COVID-19 vaccine registry. Statistics Canada census data were used to calculate COVID-19 incidence and hospitalization rates for incarcerated cases and the non-correctional facility population. Findings Between 15 January 2020 and 31 December 2022, there were 1,550,045 COVID-19 cases in Ontario of which 8,292 (0.53%) cases were reported in correctional (63.8% amongst incarcerated individuals, 18.6% amongst staff and 17.7% amongst an unknown classification) and 1,541,753 (99.47%) were non-correctional facility cases. Most cases in correctional facilities were men (83.8%) and aged 20–59 years (93.1%). COVID-19 incidence and hospitalization rates were generally higher among incarcerated individuals compared to the non-correctional facility population throughout the study period. COVID-19 incidence peaked in January 2022 for both the correctional facility population (21,543.8 per 100,000 population) and the non-correctional facility population (1915.1 per 100,000 population). The rate of COVID-19 hospitalizations peaked for the correctional facility population aged 20–59 in March 2021 (70.7 per 100,000 population) and in April 2021 for the non-correctional facility population aged 20–59 (19.8 per 100,000 population). A greater percentage of incarcerated individuals (73.0%) were unvaccinated at time of their COVID-19 diagnosis compared to the non-correctional facility population (49.3%). Deaths amongst correctional facility cases were rare (0.1%, 6 / 8,292) compared to 1.0% of non-correctional facility cases (n = 15,787 / 1,541,753). Originality/value During the COVID-19 pandemic, individuals incarcerated in correctional facilities in Ontario had higher COVID-19 incidence and hospitalization rates compared to the non-correctional facility population. These results support prioritizing incarcerated individuals for public health interventions to mitigate COVID-19 impacts in correctional facilities.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.025
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.384
Teacher spread0.339 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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