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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Network analysis of U.S. non-fatal opioid-involved overdose journeys, 2018–2023

Alen Alic, Shannon M. Casillas, Nathan Danneman, Lucas H. McCabe et al.
Applied Network Science
Opioid Use Disorder Treatment
article

Network analysis of U.S. non-fatal opioid-involved overdose journeys, 2018–2023

Alen Alic, Shannon M. Casillas, Nathan Danneman, Lucas H. McCabe, Royal Law, Naoki Masuda
article en

Abstract

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.

Applied Network ScienceVol. 9(1)
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)
Centers for Disease Control and Prevention
Openalex Percentile: Top 69%
Opioid Use Disorder Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Network analysis of U.S. non-fatal opioid-involved overdose journeys, 2018–2023 — Alen Alic, Shannon M. Casillas, et al. · Applied Network Science (2024) | TGRS Research Map | TGRS