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COVID@SIGSPATIAL 2020: Seattle, WA, USA

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  - conf/gis/2020covid
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Taylor Anderson, Jia Yu, Andreas Züfle:
COVID-19: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, Seattle, WA, USA, November 3, 2020. ACM 2020, ISBN 978-1-4503-8168-0
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  - conf/gis/002B20
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Rachit Agarwal, Abhik Banerjee:
Infection Risk Score: Identifying the risk of infection propagation based on human contact. 1-10
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  - conf/gis/WangA20
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Zhongying Wang, Orhun Aydin:
Sensitivity Analysis for COVID-19 Epidemiological Models within a Geographic Framework. 11-14
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Zhu Wang, Isabel F. Cruz:
Analysis of the Impact of COVID-19 on Education Based on Geotagged Twitter. 15-23
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  - conf/gis/PejoB20
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Balázs Pejó, Gergely Biczók:
Corona Games: Masks, Social Distancing and Mechanism Design. 24-31
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  - conf/gis/AboubakrM20
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Hamada A. Aboubakr, Amr Magdy:
On Improving Toll Accuracy for COVID-like Epidemics in Underserved Communities Using User-generated Data. 32-35
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  - conf/gis/KiamariRNPHK20
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Mehrdad Kiamari, Gowri Sankar Ramachandran, Quynh Nguyen, Eva Pereira, Jeanne Holm, Bhaskar Krishnamachari:
COVID-19 Risk Estimation using a Time-varying SIR-model. 36-42
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  - conf/gis/ThakurSBTCWSXFS20
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Gautam S. Thakur, Kevin A. Sparks, Anne Berres, Varisara Tansakul, Supriya Chinthavali, Matthew Whitehead, Erik Schmidt, Haowen Xu, Junchuan Fan, Dustin Spears, Elton Cranfill:
COVID-19 Joint Pandemic Modeling and Analysis Platform. 43-52
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  - conf/gis/SametHK020
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Hanan Samet, Yunheng Han, John H. Kastner, Hong Wei:
Using Animation to Visualize Spatio-Temporal Varying COVID-19 Data. 53-62

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