Evidence map›Paper›PMID 33758868›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Covid-19 in the California State Prison System: An Observational Study of Decarceration, Ongoing Risks, and Risk Factors.

Elizabeth T Chin, Theresa Ryckman, Lea Prince, David Leidner, Fernando Alarid-Escudero, Jason R Andrews, Joshua A Salomon, David M Studdert, Jeremy D Goldhaber-Fiebert

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Elizabeth T ChinDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.
Theresa RyckmanStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lea PrinceStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
David LeidnerNo Affiliation.
Fernando Alarid-EscuderoDivision of Public Administration, Center for Research and Teaching in Economics (CIDE), Aguascalientes, Aguascalientes, Mexico.
Jason R AndrewsDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Joshua A SalomonStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
David M StuddertStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jeremy D Goldhaber-FiebertStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCorrectional institutions nationwide are seeking to mitigate Covid-19-related risks.

objectiveTo quantify changes to California's prison population since the pandemic began and identify risk factors for Covid-19 infection.

designWe described residents' demographic characteristics, health status, Covid-19 risk scores, room occupancy, and labor participation. We used Cox proportional hazard models to estimate the association between rates of Covid-19 infection and room occupancy and out-of-room labor, respectively.

settingCalifornia state prisons (March 1-October 10, 2020).

participantsResidents of California state prisons. MEASUREMENTS: Changes in the incarcerated population's size, composition, housing, and activities. For the risk factor analysis, the exposure variables were room type (cells vs dormitories) and labor participation (any room occupant participating in the prior 2 weeks) and the outcome variable was incident Covid-19 case rates.

resultsThe incarcerated population decreased 19.1% (119,401 to 96,623) during the study period.On October 10, 2020, 11.5% of residents were aged ≥60, 18.3% had high Covid-19 risk scores, 31.0% participated in out-of-room labor, and 14.8% lived in rooms with ≥10 occupants. Nearly 40% of residents with high Covid-19 risk scores lived in dormitories. In 9 prisons with major outbreaks (6,928 rooms; 21,750 residents), dormitory residents had higher infection rates than cell residents (adjusted hazard ratio [AHR], 2.51 95%CI, 2.25-2.80) and residents of rooms with labor participation had higher rates than residents of other rooms (AHR, 1.56; 95%CI, 1.39-1.74). LIMITATIONS: Inability to measure density of residents' living conditions or contact networks among residents and staff.

conclusionDespite reductions in room occupancy and mixing, California prisons still house many medically vulnerable residents in risky settings. Reducing risks further requires a combination of strategies, including rehousing, decarceration, and vaccination. FUNDING SOURCES: Horowitz Family Foundation; National Institute on Drug Abuse; National Science Foundation Graduate Research Fellowship; Open Society Foundations.

Identifiers

PMID33758868
PMCPMC7987024

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Registered trials

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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.