Spatial association between social vulnerability and accidental poisoning mortality in Pennsylvania and its adjacent states

Bobby, Kendra (2020) Spatial association between social vulnerability and accidental poisoning mortality in Pennsylvania and its adjacent states. Master's Thesis, University of Pittsburgh. (Unpublished)

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Abstract

The purpose of the current study is to investigate the spatial relationship between county-level social factors that are a proxy to measure the social vulnerability to adverse events and accidental poisoning mortality, or overdose deaths, in Pennsylvania and surrounding states. This study explores the suggestion that the opioid epidemic is an aggregate of individual sub-epidemics by looking at mortality rates and social determinants of health at the county level. We evaluate this by examining local spatial distribution of overdose mortality rates and social factors, such as poverty, overcrowding, and unemployment. This regional analysis compares spatial and non-spatial models for modeling overdose mortality, and the magnitude of influence of each variable at the county level compared to its global impact. We discuss the public health importance of non-homogeneous effects of social determinants of health on the opioid epidemic, and how they may help us to better understand and diagnose its contributing factors.

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Details

Item Type:	University of Pittsburgh ETD
Status:	Unpublished
Creators/Authors:	Creators Email Pitt Username ORCID Bobby, Kendra kjb79@pitt.edu kjb79
ETD Committee:	Title Member Email Address Pitt Username ORCID Committee Chair Buchanich, Jeanine jeanine@pitt.edu jeanine Committee Member Carlson, Jenna jnc35@pitt.edu jnc35 Committee Member Burke, Donald donburke@pitt.edu donburke
Date:	29 January 2020
Date Type:	Publication
Defense Date:	14 October 2019
Approval Date:	29 January 2020
Submission Date:	28 October 2019
Access Restriction:	2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages:	49
Institution:	University of Pittsburgh
Schools and Programs:	School of Public Health > Biostatistics
Degree:	MS - Master of Science
Thesis Type:	Master's Thesis
Refereed:	Yes
Uncontrolled Keywords:	geographically weighted regression, opioid epidemic, opioid mortality
Date Deposited:	29 Jan 2020 18:15
Last Modified:	01 Jan 2022 06:15
URI:	http://d-scholarship.pitt.edu/id/eprint/37736

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