Join SIGSPATIAL NOW
| |
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 |
Join SIGSPATIAL NOW | |