Affiliation:
1. Department of Geography and Geoinformation Science, George Mason University, USA
2. Oak Ridge National Laboratory, Oak Ridge, USA
3. Department of Global and Community Health, George Mason University, USA
4. Department of Computer Science, Emory University, USA
Abstract
Since the onset of the COVID-19 pandemic, researchers in the SIGSPATIAL community have utilized computational solutions to better explain, predict, and respond to infectious disease outbreaks. Using spatial computing for pandemic preparedness has also been highlighted as a major application of mobility data science [16]. At the beginning of the COVID-19 pandemic, the SIGSPATIAL community rapidly published ideas to improve our understanding of the spread of the virus in two SIGSPATIAL Special Newsletter Issues in March and July 2020 [28, 29]. These efforts led to the 1st and 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology [5, 4] (formerly called Workshop on Modeling and Understanding the Spread of COVID-19 in 2020) which has provided authors of these newsletter articles a forum to present and discuss their solutions. Including both work published at the SIGSPATIAL Special Newsletter and regular peer-reviewed submissions, this workshop included topics such as the collection of large spatiotemporal datasets [20], leveraging data mining and spatial analysis techniques to analyze and visualize such data [2, 12, 25, 21, 11, 9, 8, 3], developing predictive spatial models and simulations [6, 1, 19, 13, 24, 10, 23, 14], and employing novel technologies towards contact tracing and surveillance [17, 26].
Publisher
Association for Computing Machinery (ACM)
Reference31 articles.
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2. Infection Risk Score
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4. T. Anderson , J.-S. Kim , A. Roess , H. Kavak , J. Yu , and A. Züfle . Spatialepi' 21 workshop report: The 2nd acm sigspatial international workshop on spatial computing for epidemiology. SIGSPATIAL Special, 13(1):to appear , 2022 . T. Anderson, J.-S. Kim, A. Roess, H. Kavak, J. Yu, and A. Züfle. Spatialepi' 21 workshop report: The 2nd acm sigspatial international workshop on spatial computing for epidemiology. SIGSPATIAL Special, 13(1):to appear, 2022.
5. The 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19