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COVID@SIGSPATIAL 2020: Seattle, WA, USA
- 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 - Rachit Agarwal, Abhik Banerjee
:
Infection Risk Score: Identifying the risk of infection propagation based on human contact. 1-10 - Zhongying Wang
, Orhun Aydin
:
Sensitivity Analysis for COVID-19 Epidemiological Models within a Geographic Framework. 11-14 - Zhu Wang, Isabel F. Cruz:
Analysis of the Impact of COVID-19 on Education Based on Geotagged Twitter. 15-23 - Balázs Pejó, Gergely Biczók
:
Corona Games: Masks, Social Distancing and Mechanism Design. 24-31 - Hamada A. Aboubakr, Amr Magdy:
On Improving Toll Accuracy for COVID-like Epidemics in Underserved Communities Using User-generated Data. 32-35 - 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 - 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 - 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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