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Title: Real-Time Data Visualization to Enhance Situational Awareness of COVID pandemic
Real-time data visualization can enhance decision making and empower teams with human-centric situational awareness insights. Decision making relies on data which comes in overwhelming velocity and volume, that one cannot comprehend it without some layer of abstraction. This research effort aims to demonstrate the data visualization of the COVID pandemic in real-time for the fifty states in the USA. Our proposed data visualization tool includes both conceptual and data-driven information. The data visualization includes stacked bar graphs, geographic representations of the data, and offers situational awareness of the COVID-19 pandemic. This paper describes the development and testing of the data visualization tool using the Unity gaming engine. Testing has been done with a real-time feed of the COVID-19 data set for immersive environment, non-immersive environment, and mobile environment.
Authors:
; ;
Award ID(s):
2026412 2032344 1923986
Publication Date:
NSF-PAR ID:
10286149
Journal Name:
2020 International Conference on Computational Science and Computational Intelligence (CSCI)
Page Range or eLocation-ID:
352 to 357
Sponsoring Org:
National Science Foundation
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