Supporting COVID-19 Supply Allocation through Visual Analytics

Erica Mi

Since the rise in severity of the pandemic this past year, the Centers for Disease Control and Prevention (CDC) has faced medical device and supply shortages to accommodate patients in urgent care due to COVID-19. The United States prioritizes the effective distribution of supplies to high-risk areas. This research dives into data visualization design concepts behind self-generated Tableau dashboards to support decision points and reduce ambiguity, providing insight for COVID-19 supply allocation.

Major: 
Information Sciences and Technology (Integration and Application), Informatics
Exhibition Category: 
Social and Behavioral Sciences
Exhibition Format: 
Poster Presentation
Campus: 
University Park
Faculty Sponsor: 
Guoray Cai
Poster Number: 
15170

Award Winner

University Library Awards for Information Literacy - Second Place