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Visual Analytics for Data-Driven Understanding of the Substance Use Disorder Epidemic
Danial Qaurooni1, Bruce W Herr1, Sarah Renee Zappone1
1Indiana University Bloomington, Bloomington, IN, USA.
Summary
This study presents a visual analytics dashboard to combat the substance use disorder epidemic. It integrates data to improve understanding and support interventions for this public health crisis.
Area of Science:
- Public Health
- Data Science
- Human-Computer Interaction
Background:
- Substance use disorder (SUD) is a critical public health issue with complex challenges.
- Traditional approaches struggle to address the multifaceted nature of the SUD epidemic.
- Visual analytics offers a promising avenue for understanding and intervening in SUD.
Purpose of the Study:
- To develop an innovative visual analytics dashboard for understanding the SUD epidemic.
- To integrate diverse data sources for a comprehensive view of SUD.
- To enhance collaboration among researchers, policymakers, and healthcare practitioners.
Main Methods:
- Development of a visual analytics dashboard.
- Utilization of record linkage techniques to integrate disparate data.
- Adherence to user-centered, responsive, and open design principles.
Main Results:
- The dashboard provides a comprehensive and integrated view of the SUD epidemic.
- Illustrative outputs demonstrate enhanced understanding and support for intervention strategies.
- The system facilitates evaluation of implemented public health measures.
Conclusions:
- The developed visual analytics dashboard is a valuable tool for addressing the SUD epidemic.
- The dashboard supports data-driven decision-making and collaborative efforts.
- Future use cases and limitations of the dashboard are discussed.
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