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Foreword
| i-iii |
Introduction to this Special Issue: Modeling and Understanding the Spread of COVID-19
(Part I)
Andreas Züfle
| 1-2 |
| Section 1: Event Reports | |
The 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
(ACM SIGSPATIAL 2019)
Chicago, Illinois, USA, November 5-8, 2019
Ralf Hartmut Güting, Lars Kulik, Shawn Newsam, Farnoush Banaei-Kashani, Goce Trajcevski
| 3-5 |
| Section 2: Modeling and Understanding the Spread of COVID-19 | |
GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information
Umair Qazi, Muhammad Imran, Ferda Ofli
| 6-15 |
Mapping county-level mobility pattern changes in the United States in response to COVID-19
Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse
| 16-26 |
Rapid detection of COVID-19 clusters in the United States using a prospective space-time scan statistic: An update
Alexander Hohl, Eric Delmelle, Michael Desjardins
| 27-33 |
Human Mobility based Individual-level Epidemic Simulation Platform
Zipei Fan, Xuan Song, Yinghao Liu, Zhiwen Zhang, Chuang Yang, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki
| 34-40 |
| Section 3: Microblog and Location-Based Social Network Data | |
Microblogs: A Renewable Spatio-temporal Fortune
Amr Magdy
| 41-52 |
Location-Based Social Simulation for Prescriptive Analytics of Disease Spread
Joon-Seok Kim, Hamdi Kavak, Chris Ovi Rouly, Hyunjee Jin, Andrew Crooks, Dieter Pfoser, Carola Wenk, Andreas Züfle
| 53-61 |
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