Evidence map›Paper›PMID 38560445›Full record

ArticleFrontiers in public health2024

Preparing correctional settings for the next pandemic: a modeling study of COVID-19 outbreaks in two high-income countries.

Jisoo A Kwon, Neil A Bretaña, Nadine Kronfli, Camille Dussault, Luke Grant, Jennifer Galouzis, Wendy Hoey, James Blogg, Andrew R Lloyd, Richard T Gray

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jisoo A KwonKirby Institute, UNSW Sydney, Sydney, NSW, Australia.
Neil A BretañaUniversity of South Australia, Adelaide, SA, Australia.
Nadine KronfliResearch Institute of the McGill University Health Centre, Montreal, QC, Canada.
Camille DussaultResearch Institute of the McGill University Health Centre, Montreal, QC, Canada.
Luke GrantCorrective Services NSW, Sydney, NSW, Australia.
Jennifer GalouzisCorrective Services NSW, Sydney, NSW, Australia.
Wendy HoeyJustice Health Forensic Mental Health Network NSW, Sydney, NSW, Australia.
James BloggJustice Health Forensic Mental Health Network NSW, Sydney, NSW, Australia.
Andrew R LloydKirby Institute, UNSW Sydney, Sydney, NSW, Australia.
Richard T GrayKirby Institute, UNSW Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Correctional facilities are high-priority settings for coordinated public health responses to the COVID-19 pandemic. These facilities are at high risk of disease transmission due to close contacts between people in prison and with the wider community. People in prison are also vulnerable to severe disease given their high burden of co-morbidities. Methods: We developed a mathematical model to evaluate the effect of various public health interventions, including vaccination, on the mitigation of COVID-19 outbreaks, applying it to prisons in Australia and Canada. Results: We found that, in the absence of any intervention, an outbreak would occur and infect almost 100% of people in prison within 20 days of the index case. However, the rapid rollout of vaccines with other non-pharmaceutical interventions would almost eliminate the risk of an outbreak. Discussion: Our study highlights that high vaccination coverage is required for variants with high transmission probability to completely mitigate the outbreak risk in prisons.

Indexed as

COVID-19Developed CountriesDisease OutbreaksHumansPandemicsPrisonsAustraliaCanadaCOVID-19modelingprisonSARS-CoV-2

Identifiers

PMID38560445
PMCPMC10978752

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.