Web-based Spatial Decision Support Systems of Wastewater Surveillance for COVID-19 Monitoring: A Case Study of a University Campus
Topics: Cyberinfrastructure
, Spatial Analysis & Modeling
, Geographic Information Science and Systems
Keywords: Keywords: Wastewater surveillance, spatial decision support systems, COVID-19, Web GIS
Session Type: Virtual Paper Abstract
Day: Saturday
Session Start / End Time: 2/26/2022 09:40 AM (Eastern Time (US & Canada)) - 2/26/2022 11:00 AM (Eastern Time (US & Canada))
Room: Virtual 4
Authors:
Wenwu Tang, University of North Carolina at Charlotte
Tianyang Chen, University of North Carolina at Charlotte
Zachery Slocum, University of North Carolina at Charlotte
Yu Lan, University of North Carolina at Charlotte
Sophia Lin, UNC Charlotte
Eric Delmelle, UNC Charlotte
Cynthia Gibas, UNC Charlotte
Don Chen, UNC Charlotte
Jessica Schlueter, UNC Charlotte
Jacelyn Rice-Boayue, UNC Charlotte
Abstract
The ongoing COVID-19 pandemic has produced substantial impacts on our society. Wastewater surveillance has been increasingly introduced to support the monitoring, and thus mitigation, of COVID-19 situations. However, a series of spatial and spatiotemporal data are involved with wastewater surveillance. The management and analytics of these data poses a significant challenge, in particular, for the purpose of supporting critical decision making that needs to be made timely. In this paper, we present a web-based spatial decision support system framework to address this challenge. Our study area is the main campus of the University of North Carolina at Charlotte. Our framework provides real-time support for the efficient management and sharing of spatiotemporal data of wastewater testing results for our study area.
Web-based Spatial Decision Support Systems of Wastewater Surveillance for COVID-19 Monitoring: A Case Study of a University Campus
Category
Virtual Paper Abstract
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