Network analysis of US non-fatal opioid-involved overdose journeys, 2018-2023

被引：0

作者：

McCabe, Lucas H. ^{[1
,2
]}

Masuda, Naoki ^{[3
,4
]}

Casillas, Shannon ^{[5
]}

Danneman, Nathan ^{[1
]}

Alic, Alen ^{[5
]}

Law, Royal ^{[5
]}

机构：

[1] LMI, 7940 Jones Branch Dr, Tysons, VA 22102 USA

[2] George Washington Univ, Dept Comp Sci, 800 22nd St NW, Washington, DC 20052 USA

[3] SUNY Buffalo, Dept Math, 244 Math Bldg, Buffalo, NY 14260 USA

[4] SUNY Buffalo, Inst Artificial Intelligence & Data Sci, 215 Lockwood Hall, Buffalo, NY 14260 USA

[5] CDCP, Natl Ctr Injury Prevent & Control, 4770 Buford Highway NE, Atlanta, GA 30341 USA

来源：

APPLIED NETWORK SCIENCE | 2024年 / 9卷 / 01期

关键词：

Opioid overdoses; Geospatial networks; Transportation networks; Public health; Emergency medical services; HITS algorithm; PUBLIC-HEALTH; CRIME; MORTALITY; TRENDS;

D O I：

10.1007/s41109-024-00661-z

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页数：25

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