Analyzing and predicting short-term substance use behaviors of persons who use drugs in the great plains of the U.S.
The observed qualitative changes in short-term substance usage and the trained predictive models for (i) and (ii) can potentially inform human decision-making toward efficient allocation of appropriate resources to PWUDs at highest risk.
Authors
- Kimberly A. Tyler (ORCID: https://orcid.org/0000-0002-2124-2266)
- Bergen Johnston (ORCID: https://orcid.org/0000-0001-6611-5466)
- Hau Chan (ORCID: https://orcid.org/0000-0002-2461-9727)
- Patrick Habecker (ORCID: https://orcid.org/0000-0003-4435-1593)
- Anika R. Eisenbraun
- Bilal Khan (ORCID: https://orcid.org/0000-0001-8823-6752)
- Lillianna Cervantes
- Nguyen Thach (ORCID: https://orcid.org/0009-0003-3308-524X)
- Alex Mason
Institutions
- University of Nebraska–Lincoln (US)
- Lehigh University (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1371/journal.pone.0312046
- Citations
- 1
- Primary Topic
- HIV, Drug Use, Sexual Risk
- Type
- article
- Field-Weighted Citation Impact
- 0.39
Funders
- University of Nebraska-Lincoln
- National Institutes of Health
- National Institute of General Medical Sciences