A classification model of homelessness using integrated administrative data: Implications for targeting interventions to improve the housing status, health and well-being of a highly vulnerable population

Homelessness is poorly captured in most administrative data sets making it difficult to understand how, when, and where this population can be better served. This study sought to develop and validate a classification model of homelessness. Our sample included 5,050,639 individuals aged 11 years and...

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Detalles Bibliográficos
Autores principales: Byrne, Thomas, Baggett, Travis, Land, Thomas, Bernson, Dana, Hood, Maria-Elena, Kennedy-Perez, Cheryl, Monterrey, Rodrigo, Smelson, David, Dones, Marc, Bharel, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446866/
https://www.ncbi.nlm.nih.gov/pubmed/32817717
http://dx.doi.org/10.1371/journal.pone.0237905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446866/
https://www.ncbi.nlm.nih.gov/pubmed/32817717
http://dx.doi.org/10.1371/journal.pone.0237905

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