Evidence map›Paper›PMID 35473918›Full record

ArticleEpidemiology (Cambridge, Mass.)2022

Carceral Amplification of COVID-19: Impacts for Community, Corrections Officer, and Incarcerated Population Risks.

Eric T Lofgren, Kristian Lum, Aaron Horowitz, Brooke Mabubuonwu, Kellen Meyers, Nina H Fefferman

Open access · greenAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. The Impacts of the SARS-CoV-2 Pandemic on Incarceration Dynamics and Racial Disparities in North Carolina Jails.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. COVID-19 Reproduction Numbers and Long COVID Prevalences in California State Prisons.medRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Moana: Alternate surveillance for COVID-19 in a Unique Population (MASC-UP).Contemporary clinical trials communications · 2024
    Article
  11. Article
  12. A New Paradigm for Pandemic Preparedness.Current epidemiology reports · 2023
    Article
  13. Dynamic Contact Networks of Residents of an Urban Jail in the Era of SARS-CoV-2.medRxiv : the preprint server for health sciences · 2023
    Article
  14. Rates of SARS-CoV-2 transmission between and into California state prisons.medRxiv : the preprint server for health sciences · 2023
    Article
  15. 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 at 5 institutions in 1 country.

Eric T LofgrenFrom the Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA.
Kristian LumDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA.
Aaron HorowitzACLU Analytics, American Civil Liberties Union, New York, NY.
Brooke MabubuonwuACLU Analytics, American Civil Liberties Union, New York, NY.
Kellen MeyersDepartment of Mathematics, Tusculum University, Greeneville, TN.
Nina H FeffermanDepartment of Mathematics, University of Tennessee, Knoxville, TN.
American Civil Liberties Union · USTusculum College · USUniversity of Pennsylvania · USUniversity of Tennessee at Knoxville · USWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is challenging many societal institutions, including our criminal justice systems. Some have proposed or enacted (e.g., the State of New Jersey) reductions in the jail and/or prison populations. We present a mathematical model to explore the epidemiologic impact of such interventions in jails and contrast them with the consequences of maintaining unaltered practices. We consider infection risk and likely in-custody deaths, and estimate how within-jail dynamics lead to spill-over risks, not only affecting incarcerated people but increasing exposure, infection, and death rates for both corrections officers and the broader community beyond the justice system. We show that, given a typical jail-community dynamic, operating in a business-as-usual way results in substantial, rapid, and ongoing loss of life. Our results are consistent with the hypothesis that large-scale reductions in arrest and speeding of releases are likely to save the lives of incarcerated people, jail staff, and the wider community.

Indexed as

COVID-19PrisonersHumansModels, TheoreticalNew Jersey

Identifiers

PMID35473918
PMCPMC9148636
OpenAlexW4224943918

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.