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

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

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.

Suggested Citation

  • Li, Yuchen & Miller, Harvey J. & Hyder, Ayaz & Jia, Peng, 2023. "Understanding the spatiotemporal evolution of opioid overdose events using a regionalized sequence alignment analysis," Social Science & Medicine, Elsevier, vol. 334(C).
    • Handle: RePEc:eee:socmed:v:334:y:2023:i:c:s0277953623005452
    DOI: 10.1016/j.socscimed.2023.116188
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    References listed on IDEAS

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    1. Linton, Sabriya L. & Haley, Danielle F. & Hunter-Jones, Josalin & Ross, Zev & Cooper, Hannah L.F., 2017. "Social causation and neighborhood selection underlie associations of neighborhood factors with illicit drug-using social networks and illicit drug use among adults relocated from public housing," Social Science & Medicine, Elsevier, vol. 185(C), pages 81-90.
    2. Yuchen Li & Yichun Xie, 2018. "A New Urban Typology Model Adapting Data Mining Analytics to Examine Dominant Trajectories of Neighborhood Change: A Case of Metro Detroit," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(5), pages 1313-1337, September.
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