Assessing Spatial and Temporal Variation in Opioid-Related Incidents and Risk Factors in Lowell, Massachusetts, from 2011 to 2022: A Bayesian Spatial-Temporal Approach
ORI rates in Lowell were associated with community-level sociodemographic factors and exhibited clear seasonal patterns. These findings could inform local prevention and response planning strategies for near-real-time ORI spike detection in communities to mitigate the impact of opioid overdose.
Authors
- Jack Cordes (ORCID: https://orcid.org/0000-0003-2706-615X)
- Thomas J. Stopka (ORCID: https://orcid.org/0000-0003-2314-8924)
- Shikhar Shrestha (ORCID: https://orcid.org/0000-0002-4349-8326)
- Kehe Zhang (ORCID: https://orcid.org/0000-0001-8013-265X)
- Cici Bauer (ORCID: https://orcid.org/0000-0002-2337-7965)
Institutions
- Tufts University (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Substance Use & Addiction Journal
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1177/29767342251323065
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Foundation for Opioid Response Efforts