Assessing the Distribution of Naloxone Across Communities in South Carolina
The opioid epidemic remains a critical public health concern in U.S., with South Carolina (SC) experiencing its share of fatal consequences, including high rates of opioid overdose deaths. This study investigates the association between opioid overdose mortality and access to naloxone,a crucial opioid overdose reversal medication, focusing on the most affected areas in SC.
Utilizing Geographic Information Systems (GIS), we perform spatial analyses of naloxone distribution across appropriate geographic units, identifying disparities in access related to overdose hotspots. Additionally, we explore various regression modeling techniques-including multivariate linear, Poisson, negative binomial, and spatial regression-to assess the relationship between naloxone distribution and opioid overdose mortality. Socioeconomic and demographic variables, such as unemployment rate, household income, and diversity index are integrated into the regression analysis to understand how these factors influence naloxone access and overdose outcomes.
This study will provide insights into the equity of naloxone distribution in addressing the opioid crisis, particularly in areas with the greatest need. Findings from this research can inform targeted, data-driven interventions and policy measures to promote equitable access to naloxone and reduce opioid-related harms within SC communities.
Author(s):
Mary Kurz | Clemson University
Melika Jahan Beikloo | Graduate Research Assistant | Clemson University
Melika Jahan Beikloo is a Ph.D. candidate in Industrial Engineering at Clemson University with expertise in Operations Research, Simulation, Statistical Modeling, and Data Analytics. Her research focuses on using computational and analytical techniques, including Machine Learning, Geographic Information Systems (GIS), and Agent-Based Modeling (ABM), to address complex societal challenges such as the opioid epidemic.
Her current work, supported by the National Science Foundation (NSF), investigates the equitable distribution of naloxone and the impact of public health interventions using quantitative and qualitative methodologies. She applies regression analysis, time series forecasting, and simulation techniques to model intervention strategies, aiming to provide actionable insights for policymakers and healthcare professionals.
Beyond research, Melika is an active leader in the academic community. She serves as the President of the INFORMS Student Chapter at Clemson University, fostering collaboration between students and industry professionals through networking events and practice sessions. Additionally, she represents Industrial Engineering on the Graduate Student Advisory Board, advocating for graduate student well-being and engagement.
Melika has presented her research at major conferences, including the INFORMS Annual Meeting and the Southern Criminal Justice Association Conference. Her contributions have been recognized through multiple awards, including the Graduate Travel Grant from Clemson University and NSF Travel Support.
With a strong background in programming (Python), optimization, and predictive analytics, Melika is passionate about applying data-driven solutions to real-world problems.
Thomas Sharkey
Hyojung Kang
Bryan Lee Miller
Assessing the Distribution of Naloxone Across Communities in South Carolina
Category
Abstract Submission
Description
Primary Track: Health SystemsSecondary Track: Data Analytics and Information Systems
Primary Audience: Academician