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Spatial-temporal methods for understanding the dynamics of the opioid overdose epidemic and its community context

Li, Yuchen
http://rave.ohiolink.edu/etdc/view?acc_num=osu1657200914634479

Abstract Details

2022, Doctor of Philosophy, Ohio State University, Geography.
The rise in rates of opioid overdose is a public health crisis in the United States. Retrospective studies show that the opioid overdose crisis is not homogeneously distributed across space and time, and there is increasing recognition that its etiology is rooted in part by social determinants such as poverty, environmental disadvantage, isolation, and social upheaval. It’s important to understand the spatiotemporal variation in opioid overdose emergencies and its possible social and environmental determinants to guide public policy responses to the crisis as the obtained knowledge can benefit health care administration and epidemiological purposes, coupled with the need for generating reliable risk assessment for small geographical areas. This dissertation aims to develop new spatial-temporal methods and utilize new geospatial data for understanding the space-time pattern of opioid overdose events (OOEs) and associated socio-environmental factors for OOEs. This dissertation consists of three major parts: 1) Understand how OOEs evolved over space and time using a regionalized sequence alignment method; 2) Understand the social and physical environmental determinants in OOEs at high spatial-temporal resolution using found geospatial data; and 3) Use city municipal 311 service requests as indicators of neighborhood distress and predicting the trends of OOE hotspots when OOEs data is not available. The outcome of this dissertation helps us understand the critical spatiotemporal characteristics of the opioid overdose crisis and provides valuable information to identify the potential socio-economic and environmental drivers of the crisis as well as geographic areas where vulnerable populations are located, and where interventions should be implemented.
Harvey Miller (Advisor)
Ayaz Hyder (Committee Member)
Elisabeth Root (Committee Member)
Desheng Liu (Committee Member)
158 p.
Geographic Information Science; Geography; Public Health
opioid overdose epidemic; geographic information science; neighborhood context; social and environmental determinants of health; space-time analysis.

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Citations

  • Li, Y. (2022). Spatial-temporal methods for understanding the dynamics of the opioid overdose epidemic and its community context [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1657200914634479

    APA Style (7th edition)

  • Li, Yuchen. Spatial-temporal methods for understanding the dynamics of the opioid overdose epidemic and its community context. 2022. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1657200914634479.

    MLA Style (8th edition)

  • Li, Yuchen. "Spatial-temporal methods for understanding the dynamics of the opioid overdose epidemic and its community context." Doctoral dissertation, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1657200914634479

    Chicago Manual of Style (17th edition)

osu1657200914634479
247
© 2022, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.
Release 3.2.12