2024
DOI: 10.1177/00469580241227020
|View full text |Cite
|
Sign up to set email alerts
|

Visual Analytics for Data-Driven Understanding of the Substance Use Disorder Epidemic

Danial Qaurooni,
Bruce W. Herr,
Sarah Renee Zappone
et al.

Abstract: The substance use disorder epidemic has emerged as a serious public health crisis, presenting complex challenges. Visual analytics offers a unique approach to address this complexity and facilitate effective interventions. This paper details the development of an innovative visual analytics dashboard, aimed at enhancing our understanding of the substance use disorder epidemic. By employing record linkage techniques, we integrate diverse data sources to provide a comprehensive view of the epidemic. Adherence to… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 33 publications
0
1
0
Order By: Relevance
“…6 Data dashboards are widely used by industries and healthcare organizations for business intelligence as well as for tracking and monitoring their performance. 7,8 However, such dashboards remain untapped in the context of population health and are rarely developed with the end goal of community education and outreach. The main objective of this paper is to describe a systematic, stakeholder-driven, and theory-based approach for developing and evaluating catchment area data visualization tools for cancer centers.…”
Section: Introductionmentioning
confidence: 99%
“…6 Data dashboards are widely used by industries and healthcare organizations for business intelligence as well as for tracking and monitoring their performance. 7,8 However, such dashboards remain untapped in the context of population health and are rarely developed with the end goal of community education and outreach. The main objective of this paper is to describe a systematic, stakeholder-driven, and theory-based approach for developing and evaluating catchment area data visualization tools for cancer centers.…”
Section: Introductionmentioning
confidence: 99%