Lessons Learned from Cross-Systems Approach to COVID-19 Pandemic Response in Juvenile Justice System, Colorado, USA.

COVID-19 Colorado SARS SARS-CoV-2 United States adolescent adolescent development communicable diseases coronavirus coronavirus disease correctional facilities health disparities juvenile justice system minority and vulnerable populations pandemics residential facilities respiratory infections severe acute respiratory syndrome coronavirus 2 viruses zoonoses

Journal

Emerging infectious diseases
ISSN: 1080-6059
Titre abrégé: Emerg Infect Dis
Pays: United States
ID NLM: 9508155

Informations de publication

Date de publication:
04 2024
Historique:
medline: 2 4 2024
pubmed: 2 4 2024
entrez: 1 4 2024
Statut: ppublish

Résumé

The global COVID-19 pandemic illustrates the importance of a close partnership between public health and juvenile justice systems when responding to communicable diseases. Many setting-specific obstacles must be navigated to respond effectively to limit disease transmission and negative health outcomes while maintaining necessary services for youth in confinement facilities. The response requires multidisciplinary expertise and collaboration to address unique considerations. Public health mitigation strategies must balance the risk for disease against the negative effects of restrictions. Key aspects of the COVID-19 response in the juvenile justice system of Colorado, USA, involved establishing robust communication and data reporting infrastructures, building a multidisciplinary response team, adapting existing infection prevention guidelines, and focusing on a whole-person health approach to infection prevention. We examine lessons learned and offer recommendations on pandemic emergency response planning and managing a statewide public health emergency in youth confinement settings that ensure ongoing readiness.

Identifiants

pubmed: 38561629
doi: 10.3201/eid3013.230782
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

S13-S16

Auteurs

Classifications MeSH