Forati Amir, Ghose Rina, Mohebbi Fahimeh, Mantsch John R
Department of Geography, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Drug Alcohol Depend. 2023 Apr 1;245:109827. doi: 10.1016/j.drugalcdep.2023.109827. Epub 2023 Feb 25.
Drug overdose deaths are often geographically discordant (the community in which the overdose death occurs is different from the community of residence). Thus, in many cases there is a journey to overdose.
We applied geospatial analysis to examine characteristics that define journeys to overdoses using Milwaukee, Wisconsin, a diverse and segregated metropolitan area in which 26.72 % of overdose deaths are geographically discordant, as a case study. First, we deployed spatial social network analysis to identify hubs (census tracts that are focal points of geographically discordant overdoses) and authorities (the communities of residence from which journeys to overdose commonly begin) for overdose deaths and characterized them according to key demographics. Second, we used temporal trend analysis to identify communities that were consistent, sporadic, and emergent hotspots for overdose deaths. Third, we identified characteristics that differentiated discordant versus non-discordant overdose deaths.
Authority communities had lower housing stability and were younger, more impoverished, and less educated relative to hubs and county-wide numbers. White communities were more likely to be hubs, while Hispanic communities were more likely to be authorities. Geographically discordant deaths more commonly involved fentanyl, cocaine, and amphetamines and were more likely to be accidental. Non-discordant deaths more commonly involved opioids other than fentanyl or heroin and were more likely to be the result of suicide.
This study is the first to examine the journey to overdose and demonstrates that such analysis can be applied in metropolitan areas to better understand and guide community responses.
药物过量致死情况在地域上往往不一致(过量致死发生的社区与居住社区不同)。因此,在许多情况下存在一段导致过量用药的行程。
我们应用地理空间分析来研究界定过量用药行程的特征,以威斯康星州密尔沃基市为例进行研究,该市是一个多元化且存在隔离现象的大都市区,其中26.72%的过量致死情况在地域上不一致。首先,我们运用空间社会网络分析来确定药物过量致死事件的枢纽(地理上不一致的过量致死事件的焦点普查区)和源头(过量用药行程通常起始的居住社区),并根据关键人口统计学特征对其进行描述。其次,我们使用时间趋势分析来确定药物过量致死事件的持续、零星和新出现的热点社区。第三,我们确定了区分不一致与一致的药物过量致死事件的特征。
与枢纽社区和全县数据相比,源头社区的住房稳定性较低,且更年轻、更贫困、受教育程度更低。白人社区更有可能成为枢纽,而西班牙裔社区更有可能成为源头。地理上不一致的死亡事件更常涉及芬太尼、可卡因和苯丙胺,且更有可能是意外死亡。一致的死亡事件更常涉及除芬太尼或海洛因之外的阿片类药物,且更有可能是自杀所致。
本研究首次对过量用药行程进行了考察,并表明这种分析可应用于大都市区,以更好地理解和指导社区应对措施。