@inproceedings{4224cee277d14108956c2849656c4aa3,
title = "CyberGIS-Vis for Democratizing Access to Scalable Spatiotemporal Geovisual Analytics: A Case Study of COVID-19",
abstract = "The COVID-19 pandemic underscored the critical need for effective disease mapping tools, essential for tracking infectious diseases. Following the WHO's pandemic declaration in March 2020, numerous technological solutions emerged to map cases, assess risk factors, and monitor mobility. However, there remains a shortage of reusable, open-source geovisual analytics tool for rapid response to future pandemics. To address this gap, we developed an innovative open-source JavaScript-based geovisual analytics tool as part of the CyberGIS-Vis project. This paper introduces two visualization modules of CyberGIS-Vis, showcasing their use in visualizing spatiotemporal COVID-19 data by integrating advanced cyberGIS and online visualization with robust analytics for geospatial knowledge discovery.",
keywords = "COVID-19, CyberGIS, geovisual analytics, visualization",
author = "Han, {Su Yeon} and Kim, {Joon Seok} and Yuqin Jiang and Kang, {Jeon Young} and Jinwoo Park and Chaeyeon Han and Alexander Michels and Shaowen Wang",
note = "This work is supported in part by the National Science Foundation under grant numbers: 2118329 and 2321070 and by the National Institutes of Health under grant number: R01-AI147487. Our computational work used Virtual ROGER, which is a geospatial supercomputer supported by the CyberGIS Center for Advanced Digital and Spatial Studies and the School of Earth, Society and Environment at the University of Illinois Urbana-Champaign.; 5th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, SPATIALEPI 2024 ; Conference date: 29-10-2024",
year = "2024",
month = oct,
day = "25",
doi = "10.1145/3681777.3698474",
language = "English (US)",
series = "SPATIALEPI 2024 - Proceedings of the 5th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology",
publisher = "Association for Computing Machinery",
pages = "19--22",
editor = "Joon-Seok Kim and Taylor Anderson and Max Lau and Amira Roess and Andreas Zufle",
booktitle = "SPATIALEPI 2024 - Proceedings of the 5th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology",
address = "United States",
}