Evidence map›Paper›PMID 35277142›Full record

ArticleBMC public health2022

A study of SARS-COV-2 outbreaks in US federal prisons: the linkage between staff, incarcerated populations, and community transmission.

Sherry Towers, Danielle Wallace, Jason Walker, John M Eason, Jake R Nelson, Tony H Grubesic

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. COVID-19 Reproduction Numbers and Long COVID Prevalences in California State Prisons.medRxiv : the preprint server for health sciences · 2024
    Article
  5. Article
  6. Article
  7. Rates of SARS-CoV-2 transmission between and into California state prisons.medRxiv : the preprint server for health sciences · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sherry TowersInstitute for Advanced Sustainability Studies, Berliner Str. 130, 14467, Potsdam, Germany. Sherry.Towers@iass-potsdam.de.
Danielle WallaceSchool of Criminology and Criminal Justice, Center for Violence Prevention and Community Solutions, Arizona State University, 411 N. Central Ave., Room 600, Phoenix, AZ, 85004, USA.
Jason WalkerSchool of Criminology and Criminal Justice, Center for Violence Prevention and Community Solutions, Arizona State University, 411 N. Central Ave., Room 600, Phoenix, AZ, 85004, USA.
John M EasonDepartment of Sociology, Sewell Social Sciences, University of Wisconsin-Madison, 1180 Observatory Dr, Madison, WI, 53706, USA.
Jake R NelsonGeoinformatics & Policy Analytics Laboratory School of Information, University of Texas at Austin, Austin, TX, 78712, USA.
Tony H GrubesicGeoinformatics & Policy Analytics Laboratory School of Information, University of Texas at Austin, Austin, TX, 78712, USA.

Funding

National Science Foundation 2032747
6 · The paper itself

Abstract

backgroundSince the novel coronavirus SARS-COV-2 was first identified to be circulating in the US on January 20, 2020, some of the worst outbreaks have occurred within state and federal prisons. The vulnerability of incarcerated populations, and the additional threats posed to the health of prison staff and the people they contact in surrounding communities underline the need to better understand the dynamics of transmission in the inter-linked incarcerated population/staff/community sub-populations to better inform optimal control of SARS-COV-2.

methodsWe examined SARS-CoV-2 case data from 101 non-administrative federal prisons between 5/18/2020 to 01/31/2021 and examined the per capita size of outbreaks in staff and the incarcerated population compared to outbreaks in the communities in the counties surrounding the prisons during the summer and winter waves of the SARS-COV-2 pandemic. We also examined the impact of decarceration on per capita rates in the staff/incarcerated/community populations.

resultsFor both the summer and winter waves we found significant inter-correlations between per capita rates in the outbreaks among the incarcerated population, staff, and the community. Over-all during the pandemic, per capita rates were significantly higher in the incarcerated population than in both the staff and community (paired Student's t-test p = 0.03 and p < 0.001, respectively). Average per capita rates of incarcerated population outbreaks were significantly associated with prison security level, ranked from lowest per capita rate to highest: High, Minimum, Medium, and Low security. Federal prisons decreased the incarcerated population by a relative factor of 96% comparing the winter to summer wave (one SD range [90%,102%]). We found no significant impact of decarceration on per capita rates of SARS-COV-2 infection in the staff community populations, but decarceration was significantly associated with a decrease in incarcerated per capita rates during the winter wave (Negative Binomial regression p = 0.015).

conclusionsWe found significant evidence of community/staff/incarcerated population inter-linkage of SARS-COV-2 transmission. Further study is warranted to determine which control measures aimed at the incarcerated population and/or staff are most efficacious at preventing or controlling outbreaks.

Indexed as

COVID-19PrisonersDisease OutbreaksHumansPrisonsSARS-CoV-2CommunityCoronavirusDecarcerationDisease intervention strategiesInmatesPandemicPrisonsSARS-COV-2

Identifiers

PMID35277142
PMCPMC8916071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.