Understanding the spatiotemporal evolution of opioid overdose events using a regionalized sequence alignment analysis

Yuchen Li, Harvey J. Miller, Ayaz Hyder and Peng Jia

Social Science & Medicine, 2023, vol. 334, issue C

Abstract: Opioid overdose events and deaths have become a serious public health crisis in the United States, and understanding the spatiotemporal evolution of the disease occurrences is crucial for developing effective prevention strategies, informing health systems policy and planning, and guiding local responses. However, current research lacks the capability to observe the dynamics of the opioid crisis at a fine spatial-temporal resolution over a long period, leading to ineffective policies and interventions at the local level.

Keywords: Opioid overdose epidemic; Sequential analysis; Neighborhood context; Geographic information science; Spatiotemporal pattern mining (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.socscimed.2023.116188

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