Data Driven Response to Opioid Abuse

Research Poster Engineering 2025 Graduate Exhibition

Presentation by Tanuja Voruganti

Copresented by Muhammad Faizan Raza

Exhibition Number 31

Abstract

The opioid crisis remains one of the most devastating public health emergencies in the United States, overwhelming healthcare systems and straining economic resources. With over 100,000 opioid-related deaths annually, identifying trends and risk factors is critical for developing effective interventions. This study takes a data-driven approach to analyze the geographic distribution of opioid mortality, uncovering emerging hotspots and key socioeconomic drivers of abuse. Utilizing CDC and NCHS datasets, we apply exploratory data analysis, geospatial mapping, and predictive modeling to detect regional disparities in opioid dispensing rates and fatalities. Our findings highlight New Mexico and Kentucky as persistent opioid hotspots, with consistently high mortality rates. Additionally, the rise of synthetic opioids since 2013 has introduced unpredictable patterns, complicating efforts to forecast opioid-related deaths. These shifts underscore the need for dynamic, data-informed intervention strategies. Beyond statistical trends, this study delves into demographic and socioeconomic factors—including economic hardship, healthcare access, and regional disparities—to understand the crisis at a deeper level. By identifying high-risk populations and regions, our research provides actionable insights to policymakers, healthcare providers, and community organizations. Through geographic heatmaps, time-series analyses, and predictive models, we aim to transform raw data into meaningful, actionable intelligence. This study emphasizes the importance of evidence-based policy decisions, guiding targeted interventions that can save lives, allocate resources effectively, and combat the opioid epidemic with precision and urgency.

Importance

The opioid crisis is a devastating public health emergency affecting millions across the U.S., with opioid-related deaths continuing to rise. Our study takes a data-driven approach to analyze geographic trends in opioid mortality, uncovering emerging hotspots and shifts in opioid use patterns. By leveraging statistical analysis, predictive modeling, and visualization techniques, we aim to identify key socioeconomic factors driving opioid abuse. Understanding these trends is crucial for targeted interventions, helping policymakers and healthcare providers allocate resources more effectively. By focusing on regional disparities, dispensing rate changes, and demographic influences, our research provides actionable insights to combat the crisis. This study supports evidence-based decision-making to reduce opioid-related harm and improve public health outcomes.

DEI Statement

The opioid crisis disproportionately impacts marginalized and underserved communities, exacerbating health disparities, economic instability, and social inequities. This research highlights the geographic and socioeconomic inequalities in opioid abuse and mortality, focusing on regions with high opioid dispensing rates, inadequate healthcare access, and economic distress. By analyzing CDC and NCHS data, we identify at-risk populations, including low-income individuals, rural communities, and racial minorities who face barriers to treatment and recovery. Our findings emphasize the urgent need for targeted, equity-driven interventions to address systemic disparities in healthcare access, addiction treatment, and prevention strategies. This study contributes to evidence-based policymaking, advocating for inclusive, community-centered solutions that prioritize harm reduction, social justice, and public health equity in combating the opioid epidemic.