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

  • Lucas H. McCabe
  • , Naoki Masuda
  • , Shannon Casillas
  • , Nathan Danneman
  • , Alen Alic
  • , Royal Law
  • Logistics Management Institute
  • George Washington University
  • Centers for Disease Control and Prevention

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number68
JournalApplied Network Science
Volume9
Issue number1
DOIs
StatePublished - Dec 2024

Keywords

  • Emergency medical services
  • Geospatial networks
  • HITS algorithm
  • Opioid overdoses
  • Public health
  • Transportation networks

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