Work

Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release

Year: 2024

Type: article

Study design: Observational Study

Source: Annals of Epidemiology

DOI: 10.1016/j.annepidem.2024.04.011

Authors: Kristina Yamkovoy, Prasad Patil, Devon Dunn, Elizabeth Erdman, Dana Bernson, Pallavi Aytha Swathi, Samantha K. Nall, Yanjia Zhang, Jianing Wang, Lauren Brinkley-Rubinstein, Katherine H. LeMasters, Laura F. White, Joshua A. Barocas

Institutions: University of Colorado Anschutz, University of Colorado Denver, Boston University, Massachusetts Department of Public Health, Massachusetts General Hospital, Duke University

Language: English

Topic: Opioid Use Disorder Treatment

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: bronze

Funders: National Institutes of Health, National Institute on Drug Abuse, National Institute of General Medical Sciences, Massachusetts Department of Public Health

Awards: G118038746, Strategies to reduce serious bacterial infections and overdose among people who inject drugs, G9000105162, Maximizing Investigators' Research Award (R35)

OpenAlex ID: W4396661160

FWCI: 1.891

Cites: 24

Cited by: 5

Related to: 10