Evidence map›Paper›PMID 34861580›Full record

ArticleEpidemics2021

Assessing the risk of cascading COVID-19 outbreaks from prison-to-prison transfers.

Todd L Parsons, Lee Worden

Abstract read
In one paragraph

Article in Epidemics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Todd L ParsonsCNRS & Laboratoire de Probabilités, Statistique et Modèlisation, Campus Pierre et Marie Curie, Sorbonne Université, Paris, France.
Lee WordenFrancis I. Proctor Foundation, UCSF, San Francisco, USA. Electronic address: worden.lee@gmail.com.

Funding

Ebola modeling: behavior, asymptomatic infection, and contacts (2019-nCoV Admin Supplement)R01GM130900 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PORCO, TRAVIS CHRISTIAN · 2019 to 2022
$1.6M
NIGMS NIH HHS R01 GM130900
6 · The paper itself

Abstract

COVID-19 transmission has been widespread across the California prison system, and at least two of these outbreaks were caused by transfer of infected individuals between prisons. Risks of individual prison outbreaks due to introduction of the virus and of widespread transmission within prisons due to poor conditions have been documented. We examine the additional risk potentially posed by transfer between prisons that can lead to large-scale spread of outbreaks across the prison system if the rate of transfer is sufficiently high. We estimated the threshold number of individuals transferred per prison per month to generate supercritical transmission between prisons, a condition that could lead to large-scale spread across the prison system. We obtained numerical estimates from a range of representative quantitative assumptions, and derived the percentage of transfers that must be performed with effective quarantine measures to prevent supercritical transmission given known rates of transfers occurring between California prisons. Our mean estimate of the critical threshold rate of transfers was 27 individuals transferred per prison per month, with standard deviation 26, in the absence of quarantine measures. Available data documents transfers occurring at a rate of 61 transfers per prison per month. At that rate, estimates of the threshold rate of adherence to quarantine precautions had mean 61%, with standard deviation 32%. While the impact of vaccination and possible decarceration measures is unclear, we include estimates of the above quantities given reductions in the probability and extent of outbreaks. We conclude that the risk of supercritical transmission between California prisons has been substantial, requiring quarantine protocols to be followed rigorously to manage this risk. The rate of outbreaks occurring in California prisons suggests that supercritical transmission may have occurred. We stress that the thresholds we estimate here do not define a safe level of transfers, even if supercritical transmission between prisons is avoided, since even low rates of transfer can cause very large outbreaks. We note that risks may persist after vaccination, due for example to variant strains, and in prison systems where widespread vaccination has not occurred. Decarceration remains urgently needed as a public health measure.

Indexed as

COVID-19PrisonsDisease OutbreaksHumansSARS-CoV-2DecarcerationDisparitiesHousehold modelHuman rightsTwo-level mixing

Identifiers

PMID34861580
PMCPMC8612764

What OpenQuestion holds

Textmetadata
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.