Incarceration And Its Disseminations: COVID-19 Pandemic Lessons From Chicago's Cook County Jail.
Identifieur interne : 000C95 ( Main/Exploration ); précédent : 000C94; suivant : 000C96Incarceration And Its Disseminations: COVID-19 Pandemic Lessons From Chicago's Cook County Jail.
Auteurs : Eric Reinhart [États-Unis] ; Daniel L. ChenSource :
- Health affairs (Project Hope) [ 1544-5208 ] ; 2020.
Descripteurs français
- KwdFr :
- Chicago (MeSH), Contrôle des maladies transmissibles (organisation et administration), Femelle (MeSH), Humains (MeSH), Illinois (MeSH), Infections à coronavirus (épidémiologie), Mâle (MeSH), Pandémies (statistiques et données numériques), Pneumopathie virale (épidémiologie), Populations vulnérables (MeSH), Prisonniers (statistiques et données numériques), Prisons (organisation et administration), Santé publique (MeSH), Transmission verticale de maladie infectieuse (prévention et contrôle), Transmission verticale de maladie infectieuse (statistiques et données numériques).
- MESH :
- organisation et administration : Contrôle des maladies transmissibles, Prisons.
- prévention et contrôle : Transmission verticale de maladie infectieuse.
- statistiques et données numériques : Pandémies, Prisonniers, Transmission verticale de maladie infectieuse.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Chicago, Femelle, Humains, Illinois, Mâle, Populations vulnérables, Santé publique.
English descriptors
- KwdEn :
- Chicago (MeSH), Communicable Disease Control (organization & administration), Coronavirus Infections (epidemiology), Female (MeSH), Humans (MeSH), Illinois (MeSH), Infectious Disease Transmission, Vertical (prevention & control), Infectious Disease Transmission, Vertical (statistics & numerical data), Male (MeSH), Pandemics (statistics & numerical data), Pneumonia, Viral (epidemiology), Prisoners (statistics & numerical data), Prisons (organization & administration), Public Health (MeSH), Vulnerable Populations (MeSH).
- MESH :
- geographic : Chicago, Illinois.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- organization & administration : Communicable Disease Control, Prisons.
- prevention & control : Infectious Disease Transmission, Vertical.
- statistics & numerical data : Infectious Disease Transmission, Vertical, Pandemics, Prisoners.
- Female, Humans, Male, Public Health, Vulnerable Populations.
Abstract
Jails and prisons are major sites of novel coronavirus (SARS-CoV-2) infection. Many jurisdictions in the United States have therefore accelerated the release of low-risk offenders. Early release, however, does not address how arrest and pretrial detention practices may be contributing to disease spread. Using data from Cook County Jail-one of the largest known nodes of SARS-CoV-2 spread in the United States-in Chicago, Illinois, we analyzed the relationship between jailing practices and community infections at the ZIP code level. We found that jail-community cycling was a significant predictor of cases of coronavirus disease 2019 (COVID-19), accounting for 55 percent of the variance in case rates across ZIP codes in Chicago and 37 percent of the variance in all of Illinois. Jail-community cycling far exceeds race, poverty, public transit use, and population density as a predictor of variance. The data suggest that cycling people through Cook County Jail alone is associated with 15.7 percent of all documented COVID-19 cases in Illinois and 15.9 percent of all documented cases in Chicago as of April 19, 2020. Our findings support arguments for reduced reliance on incarceration and for related justice reforms both as emergency measures during the present pandemic and as sustained structural changes vital for future pandemic preparedness and public health.
DOI: 10.1377/hlthaff.2020.00652
PubMed: 32496864
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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He is also a candidate in adult psychoanalysis at the Chicago Center for Psychoanalysis.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Illinois</region></placeName><wicri:cityArea>Eric Reinhart (reinhar@fas.harvard.edu) is a PhD candidate in the Department of Anthropology, Harvard University, in Cambridge, Massachusetts, and an MD candidate at the University of Chicago Pritzker School of Medicine, in Chicago</wicri:cityArea></affiliation></author><author><name sortKey="Chen, Daniel L" sort="Chen, Daniel L" uniqKey="Chen D" first="Daniel L" last="Chen">Daniel L. Chen</name><affiliation><nlm:affiliation>Daniel L. Chen is a director of research at the Centre National de la Recherche Scientifique (CNRS), in Paris, France; a professor at the Toulouse School of Economics and Université de Toulouse Faculty of Law, in Toulouse, France; and lead principal investigator of the DE JURE (Data and Evidence for Justice Reform) Program at the World Bank in Washington, D.C.</nlm:affiliation><wicri:noCountry code="subField">D.C.</wicri:noCountry></affiliation></author></analytic><series><title level="j">Health affairs (Project Hope)</title><idno type="eISSN">1544-5208</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Chicago (MeSH)</term><term>Communicable Disease Control (organization & administration)</term><term>Coronavirus Infections (epidemiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Illinois (MeSH)</term><term>Infectious Disease Transmission, Vertical (prevention & control)</term><term>Infectious Disease Transmission, Vertical (statistics & numerical data)</term><term>Male (MeSH)</term><term>Pandemics (statistics & numerical data)</term><term>Pneumonia, Viral (epidemiology)</term><term>Prisoners (statistics & numerical data)</term><term>Prisons (organization & administration)</term><term>Public Health (MeSH)</term><term>Vulnerable Populations (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Chicago (MeSH)</term><term>Contrôle des maladies transmissibles (organisation et administration)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Illinois (MeSH)</term><term>Infections à coronavirus (épidémiologie)</term><term>Mâle (MeSH)</term><term>Pandémies (statistiques et données numériques)</term><term>Pneumopathie virale (épidémiologie)</term><term>Populations vulnérables (MeSH)</term><term>Prisonniers (statistiques et données numériques)</term><term>Prisons (organisation et administration)</term><term>Santé publique (MeSH)</term><term>Transmission verticale de maladie infectieuse (prévention et contrôle)</term><term>Transmission verticale de maladie infectieuse (statistiques et données numériques)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Chicago</term><term>Illinois</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="organisation et administration" xml:lang="fr"><term>Contrôle des maladies transmissibles</term><term>Prisons</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Communicable Disease Control</term><term>Prisons</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Infectious Disease Transmission, Vertical</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Transmission verticale de maladie infectieuse</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Infectious Disease Transmission, Vertical</term><term>Pandemics</term><term>Prisoners</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Pandémies</term><term>Prisonniers</term><term>Transmission verticale de maladie infectieuse</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Female</term><term>Humans</term><term>Male</term><term>Public Health</term><term>Vulnerable Populations</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Chicago</term><term>Femelle</term><term>Humains</term><term>Illinois</term><term>Mâle</term><term>Populations vulnérables</term><term>Santé publique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Jails and prisons are major sites of novel coronavirus (SARS-CoV-2) infection. Many jurisdictions in the United States have therefore accelerated the release of low-risk offenders. Early release, however, does not address how arrest and pretrial detention practices may be contributing to disease spread. Using data from Cook County Jail-one of the largest known nodes of SARS-CoV-2 spread in the United States-in Chicago, Illinois, we analyzed the relationship between jailing practices and community infections at the ZIP code level. We found that jail-community cycling was a significant predictor of cases of coronavirus disease 2019 (COVID-19), accounting for 55 percent of the variance in case rates across ZIP codes in Chicago and 37 percent of the variance in all of Illinois. Jail-community cycling far exceeds race, poverty, public transit use, and population density as a predictor of variance. The data suggest that cycling people through Cook County Jail alone is associated with 15.7 percent of all documented COVID-19 cases in Illinois and 15.9 percent of all documented cases in Chicago as of April 19, 2020. Our findings support arguments for reduced reliance on incarceration and for related justice reforms both as emergency measures during the present pandemic and as sustained structural changes vital for future pandemic preparedness and public health.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32496864</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>20</Day></DateCompleted><DateRevised><Year>2020</Year><Month>08</Month><Day>20</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1544-5208</ISSN><JournalIssue CitedMedium="Internet"><Volume>39</Volume><Issue>8</Issue><PubDate><Year>2020</Year><Month>08</Month></PubDate></JournalIssue><Title>Health affairs (Project Hope)</Title><ISOAbbreviation>Health Aff (Millwood)</ISOAbbreviation></Journal><ArticleTitle>Incarceration And Its Disseminations: COVID-19 Pandemic Lessons From Chicago's Cook County Jail.</ArticleTitle><Pagination><MedlinePgn>1412-1418</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1377/hlthaff.2020.00652</ELocationID><Abstract><AbstractText>Jails and prisons are major sites of novel coronavirus (SARS-CoV-2) infection. Many jurisdictions in the United States have therefore accelerated the release of low-risk offenders. Early release, however, does not address how arrest and pretrial detention practices may be contributing to disease spread. Using data from Cook County Jail-one of the largest known nodes of SARS-CoV-2 spread in the United States-in Chicago, Illinois, we analyzed the relationship between jailing practices and community infections at the ZIP code level. We found that jail-community cycling was a significant predictor of cases of coronavirus disease 2019 (COVID-19), accounting for 55 percent of the variance in case rates across ZIP codes in Chicago and 37 percent of the variance in all of Illinois. Jail-community cycling far exceeds race, poverty, public transit use, and population density as a predictor of variance. The data suggest that cycling people through Cook County Jail alone is associated with 15.7 percent of all documented COVID-19 cases in Illinois and 15.9 percent of all documented cases in Chicago as of April 19, 2020. Our findings support arguments for reduced reliance on incarceration and for related justice reforms both as emergency measures during the present pandemic and as sustained structural changes vital for future pandemic preparedness and public health.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Reinhart</LastName><ForeName>Eric</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Eric Reinhart (reinhar@fas.harvard.edu) is a PhD candidate in the Department of Anthropology, Harvard University, in Cambridge, Massachusetts, and an MD candidate at the University of Chicago Pritzker School of Medicine, in Chicago, Illinois. He is also a candidate in adult psychoanalysis at the Chicago Center for Psychoanalysis.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Daniel L</ForeName><Initials>DL</Initials><AffiliationInfo><Affiliation>Daniel L. Chen is a director of research at the Centre National de la Recherche Scientifique (CNRS), in Paris, France; a professor at the Toulouse School of Economics and Université de Toulouse Faculty of Law, in Toulouse, France; and lead principal investigator of the DE JURE (Data and Evidence for Justice Reform) Program at the World Bank in Washington, D.C.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D023362">Evaluation Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>06</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Health Aff (Millwood)</MedlineTA><NlmUniqueID>8303128</NlmUniqueID><ISSNLinking>0278-2715</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002641" MajorTopicYN="N" Type="Geographic">Chicago</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003140" MajorTopicYN="N">Communicable Disease Control</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007087" MajorTopicYN="N" Type="Geographic">Illinois</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018445" MajorTopicYN="N">Infectious Disease Transmission, Vertical</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011329" MajorTopicYN="N">Prisoners</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011330" MajorTopicYN="N">Prisons</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="Y">Public Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D035862" MajorTopicYN="N">Vulnerable Populations</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Access and use</Keyword><Keyword MajorTopicYN="Y">Bundled charges</Keyword><Keyword MajorTopicYN="Y">Coronavirus</Keyword><Keyword MajorTopicYN="Y">Covid-19</Keyword><Keyword MajorTopicYN="Y">Diseases</Keyword><Keyword MajorTopicYN="Y">Ethics</Keyword><Keyword MajorTopicYN="Y">Health policy</Keyword><Keyword MajorTopicYN="Y">Jail-involved population</Keyword><Keyword MajorTopicYN="Y">Pandemics</Keyword><Keyword MajorTopicYN="Y">Public health</Keyword><Keyword MajorTopicYN="Y">Social determinants of health</Keyword><Keyword MajorTopicYN="Y">Socioeconomic determinants of health</Keyword><Keyword MajorTopicYN="Y">health disparities</Keyword><Keyword MajorTopicYN="Y">prison health care</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>6</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>8</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>6</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32496864</ArticleId><ArticleId IdType="doi">10.1377/hlthaff.2020.00652</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Illinois</li></region></list><tree><noCountry><name sortKey="Chen, Daniel L" sort="Chen, Daniel L" uniqKey="Chen D" first="Daniel L" last="Chen">Daniel L. Chen</name></noCountry><country name="États-Unis"><region name="Illinois"><name sortKey="Reinhart, Eric" sort="Reinhart, Eric" uniqKey="Reinhart E" first="Eric" last="Reinhart">Eric Reinhart</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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