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

IF 1.3 Q3 COMPUTER SCIENCE, THEORY & METHODS Applied Network Science Pub Date : 2024-01-01 Epub Date: 2024-11-11 DOI:10.1007/s41109-024-00661-z
Lucas H McCabe, Naoki Masuda, Shannon Casillas, Nathan Danneman, Alen Alic, Royal Law
{"title":"Network analysis of U.S. non-fatal opioid-involved overdose journeys, 2018-2023.","authors":"Lucas H McCabe, Naoki Masuda, Shannon Casillas, Nathan Danneman, Alen Alic, Royal Law","doi":"10.1007/s41109-024-00661-z","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":37010,"journal":{"name":"Applied Network Science","volume":"9 1","pages":"68"},"PeriodicalIF":1.3000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11554813/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Network Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41109-024-00661-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
2018-2023 年美国非致命性阿片类药物过量旅程网络分析。
我们介绍了对美国非致命性阿片类药物过量旅程的全国性网络分析。利用独有的紧急医疗服务事件专有数据集,我们构建了一个从旅程到用药过量的地理空间网络,捕捉了2018-2023年间近50万起阿片类药物过量事件。我们分析了节点(即县或其等同物)的结构和社会学特征,描述了用药过量旅程长度的分布,并调查了 2018 年至 2023 年间旅程网络的变化。我们的研究结果包括,HITS 算法识别出的权威和枢纽节点往往位于城市地区,并涉及地理距离特别长的用药过量旅程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Applied Network Science
Applied Network Science Multidisciplinary-Multidisciplinary
CiteScore
4.60
自引率
4.50%
发文量
74
审稿时长
5 weeks
期刊最新文献
American politics in 3D: measuring multidimensional issue alignment in social media using social graphs and text data A generalized eigenvector centrality for multilayer networks with inter-layer constraints on adjacent node importance. Approximate inference for longitudinal mechanistic HIV contact network. Estimating the impact of physician risky-prescribing on the network structure underlying physician shared-patient relationships. Network analysis of U.S. non-fatal opioid-involved overdose journeys, 2018-2023.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1