Evidence map›Paper›PMID 37662306›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Rates of SARS-CoV-2 transmission between and into California state prisons.

Preeti Dubey, Christopher M Hoover, Phoebe Lu, Seth Blumberg, Travis C Porco, Todd L Parsons, Lee Worden

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 2 countries.

Preeti DubeyFrancis I. Proctor Foundation, University of California, San Francisco, Calif., USA.
Christopher M HooverFrancis I. Proctor Foundation, University of California, San Francisco, Calif., USA.
Phoebe LuFrancis I. Proctor Foundation, University of California, San Francisco, Calif., USA.
Seth BlumbergFrancis I. Proctor Foundation, University of California, San Francisco, Calif., USA.
Travis C PorcoFrancis I. Proctor Foundation, University of California, San Francisco, Calif., USA.
Todd L ParsonsCNRS & Laboratoire de Probabilités, Statistique et Modélisation, Campus Pierre et Marie Curie, Sorbonne Université, Paris, France.
Lee WordenFrancis I. Proctor Foundation, University of California, San Francisco, Calif., USA.
University of California, San Francisco · USCentre National de la Recherche Scientifique · FR

Funding

UCSF-Proctor Clinician Vision Scholars K12 ProgramK12EY031372 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LIETMAN, Yvonne Ou · 2020 to 2026
$3.9M
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
NCEZID CDC HHS U01 CK000590NEI NIH HHS K12 EY031372NIGMS NIH HHS R01 GM130900
6 · The paper itself

Abstract

Correctional institutions are a crucial hotspot amplifying SARS-CoV-2 spread and disease disparity in the U.S. In the California state prison system, multiple massive outbreaks have been caused by transmission between prisons. Correctional staff are a likely vector for transmission into the prison system from surrounding communities. We used publicly available data to estimate the magnitude of flows to and between California state prisons, estimating rates of transmission from communities to prison staff and residents, among and between residents and staff within facilities, and between staff and residents of distinct facilities in the state's 34 prisons through March 22, 2021. We use a mechanistic model, the Hawkes process, reflecting the dynamics of SARS-CoV-2 transmission, for joint estimation of transmission rates. Using nested models for hypothesis testing, we compared the results to simplified models (i) without transmission between prisons, and (ii) with no distinction between prison staff and residents. We estimated that transmission between different facilities' staff is a significant cause of disease spread, and that staff are a vector of transmission between resident populations and outside communities. While increased screening and vaccination of correctional staff may help reduce introductions, large-scale decarceration remains crucially needed as more limited measures are not likely to prevent large-scale disease spread.

Identifiers

PMID37662306
PMCPMC10473789
OpenAlexW4386155237

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.