2018-2023 年美国非致命性阿片类药物过量旅程网络分析。

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
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引用次数: 0

摘要

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。
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.

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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
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