March 2020 (Volume 12, Number 1): Modeling and Understanding the Spread of COVID-19 (Part 1)

Volume 12, Number 1, March 2020

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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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