國立政治大學統計學系
學 術 演 講
主講人：Prof. Arthur B. Yeh 葉百堯教授學 術 演 講
Department of Applied Statistics and Operations Research,
Bowling Green State University
題 目：Spatial Clustering of Heroin-Related Overdose Incidents: A Case Study in
Cincinnati, Ohio
時 間：民國111年7月7日 (星期四) 上午11：00
地 點：國立政治大學商學院260903教室
摘 要：
Drug overdose is one of the leading causes of accidental death in the U.S., largely due to the opioid epidemic. Although the opioid epidemic is a nationwide issue, it has not affected the nation uniformly.
We combined multiple data sources, including emergency medical service response, American Community Survey data, and health facilities datasets to analyze distributions of heroin-related overdose incidents in Cincinnati, Ohio at the census block group level. Statistical analyses were performed to examine geographic variation patterns in heroin-related overdose incidents within the study area. Conditional cluster maps were plotted to examine the relationship between heroin-related incident rates and sociodemographic characteristics of the area, as well as the resources for opioid use disorder (OUD) treatment.
We combined multiple data sources, including emergency medical service response, American Community Survey data, and health facilities datasets to analyze distributions of heroin-related overdose incidents in Cincinnati, Ohio at the census block group level. Statistical analyses were performed to examine geographic variation patterns in heroin-related overdose incidents within the study area. Conditional cluster maps were plotted to examine the relationship between heroin-related incident rates and sociodemographic characteristics of the area, as well as the resources for opioid use disorder (OUD) treatment.
