Network analysis of U.S. non-fatal opioid-involved overdose journeys, 2018–2023
We present a nation-wide network analysis of non-fatal opioid-involved overdose journeys in the United States. Leveraging a unique proprietary dataset of Emergency Medical Services incidents, we construct a journey-to-overdose geospatial network capturing nearly half a million opioid-involved overdose events spanning 2018-2023. We analyze the structure and sociological profiles of the nodes, which are counties or their equivalents, characterize the distribution of overdose journey lengths, and investigate changes in the journey network between 2018 and 2023. Our findings include that authority and hub nodes identified by the HITS algorithm tend to be located in urban areas and involved in overdose journeys with particularly long geographical distances.
Authors
- Alen Alic
- Shannon M. Casillas (ORCID: https://orcid.org/0000-0001-7819-910X)
- Nathan Danneman
- Lucas H. McCabe (ORCID: https://orcid.org/0000-0002-7383-2823)
- Royal Law (ORCID: https://orcid.org/0000-0002-5746-5373)
- Naoki Masuda (ORCID: https://orcid.org/0000-0003-1567-801X)
Institutions
- Buffalo State University (US)
- George Washington University (US)
- National Center for Injury Prevention and Control (US)
- Logistics Management Institute (United States) (US)
- University at Buffalo, State University of New York (US)
Publication Details
- Journal
- Applied Network Science
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1007/s41109-024-00661-z
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Centers for Disease Control and Prevention