Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System.
Identifieur interne : 000372 ( Main/Exploration ); précédent : 000371; suivant : 000373Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System.
Auteurs : Noel Vest [États-Unis] ; Oshea Johnson [États-Unis] ; Kathryn Nowotny [États-Unis] ; Lauren Brinkley-Rubinstein [États-Unis]Source :
- Journal of urban health : bulletin of the New York Academy of Medicine [ 1468-2869 ] ; 2020.
Abstract
People in prison are particularly vulnerable to infectious disease due to close living conditions and the lack of protective equipment. As a result, public health professionals and prison administrators seek information to guide best practices and policy recommendations during the COVID-19 pandemic. Using latent profile analysis, we sought to characterize Texas prisons on levels of COVID-19 cases and deaths among incarcerated residents, and COVID-19 cases among prison staff. This observational study was a secondary data analysis of publicly available data from the Texas Department of Criminal Justice (TBDJ) collected from March 1, 2020, until July 24, 2020. This project was completed in collaboration with the COVID Prison Project. We identified relevant profiles from the data: a low-outbreak profile, a high-outbreak profile, and a high-death profile. Additionally, current prison population and level of employee staffing predicted membership in the high-outbreak and high-death profiles when compared with the low-outbreak profile. Housing persons at 85% of prison capacity was associated with lower risk of COVID-19 infection and death. Implementing this 85% standard as an absolute minimum should be prioritized at prisons across the USA.
DOI: 10.1007/s11524-020-00504-z
PubMed: 33337529
PubMed Central: PMC7747775
Affiliations:
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last="Brinkley-Rubinstein">Lauren Brinkley-Rubinstein</name><affiliation wicri:level="2"><nlm:affiliation>Department of Social Medicine, Center for Health Equity Research, University of North Carolina, Chapel Hill, NC, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Social Medicine, Center for Health Equity Research, University of North Carolina, Chapel Hill, NC</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation></author></analytic><series><title level="j">Journal of urban health : bulletin of the New York Academy of Medicine</title><idno type="eISSN">1468-2869</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">People in prison are particularly vulnerable to infectious disease due to close living conditions and the lack of protective equipment. As a result, public health professionals and prison administrators seek information to guide best practices and policy recommendations during the COVID-19 pandemic. Using latent profile analysis, we sought to characterize Texas prisons on levels of COVID-19 cases and deaths among incarcerated residents, and COVID-19 cases among prison staff. This observational study was a secondary data analysis of publicly available data from the Texas Department of Criminal Justice (TBDJ) collected from March 1, 2020, until July 24, 2020. This project was completed in collaboration with the COVID Prison Project. We identified relevant profiles from the data: a low-outbreak profile, a high-outbreak profile, and a high-death profile. Additionally, current prison population and level of employee staffing predicted membership in the high-outbreak and high-death profiles when compared with the low-outbreak profile. Housing persons at 85% of prison capacity was associated with lower risk of COVID-19 infection and death. Implementing this 85% standard as an absolute minimum should be prioritized at prisons across the USA.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">33337529</PMID><DateRevised><Year>2020</Year><Month>12</Month><Day>22</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1468-2869</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Dec</Month><Day>18</Day></PubDate></JournalIssue><Title>Journal of urban health : bulletin of the New York Academy of Medicine</Title><ISOAbbreviation>J Urban Health</ISOAbbreviation></Journal><ArticleTitle>Prison Population Reductions and COVID-19: A Latent Profile Analysis Synthesizing Recent Evidence From the Texas State Prison System.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.1007/s11524-020-00504-z</ELocationID><Abstract><AbstractText>People in prison are particularly vulnerable to infectious disease due to close living conditions and the lack of protective equipment. As a result, public health professionals and prison administrators seek information to guide best practices and policy recommendations during the COVID-19 pandemic. Using latent profile analysis, we sought to characterize Texas prisons on levels of COVID-19 cases and deaths among incarcerated residents, and COVID-19 cases among prison staff. This observational study was a secondary data analysis of publicly available data from the Texas Department of Criminal Justice (TBDJ) collected from March 1, 2020, until July 24, 2020. This project was completed in collaboration with the COVID Prison Project. We identified relevant profiles from the data: a low-outbreak profile, a high-outbreak profile, and a high-death profile. Additionally, current prison population and level of employee staffing predicted membership in the high-outbreak and high-death profiles when compared with the low-outbreak profile. Housing persons at 85% of prison capacity was associated with lower risk of COVID-19 infection and death. 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