Authors: Yuchen Li*, The Ohio State University, Harvey Miller, The Ohio State University
Topics: Spatial Analysis & Modeling, Medical and Health Geography, Geographic Information Science and Systems
Keywords: opioid overdose, spatial point pattern analysis, network cross-k function, point of interests, spatial influence
Session Type: Paper
Presentation File: No File Uploaded
Despite growing awareness of the importance of context for the opioid overdose phenomenon, the accurately estimate the strength and extent of the spatial influence of point of interests (POIs) on opioid overdose (OOD) have received much less attention. In this paper, we tried to achieve an accurate measurement of the spatial dependence between ODD activities and urban POIs over a bounded street network using 10 years of overdose activity data in Columbus, Ohio. A multivariate spatial point pattern analysis was performed with special considerations paid to the spatial trends illustrated in the mapped point patterns. In our multivariate spatial point pattern analyses, we employed a network-based cross K-function to test the spatial dependence between OOD events and POIs and further to identify any of POIs that could potentially serve as OOD attractors.
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