| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2021―Jan―29 |
Introduction to this special issue: Modeling and understanding the spread of COVID-19 |
Andreas Züfle, Taylor Anderson |
| 2 |
[GO] |
2021―Jan―25 |
The 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 |
Taylor Anderson, Jia Yu, Andreas Züfle |
| 3 |
[GO] |
2020―Oct―26 |
COVID-19 ensemble models using representative clustering |
Joon-Seok Kim, Hamdi Kavak, Andreas Züfle, Taylor Anderson |
| 4 |
[GO] |
2020―Oct―26 |
Geospatial forecasting of COVID-19 spread and risk of reaching hospital capacity |
Georgiy Bobashev, Ignacio Segovia-Dominguez, Yulia R. Gel, James Rineer, Sarah Rhea, Hui Sui |
| 5 |
[GO] |
2020―Jul―08 |
Introduction to this special issue: Modeling and understanding the spread of COVID-19 |
Andreas Züfle |
| 6 |
[GO] |
2020―Jul―08 |
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 |
| 7 |
[GO] |
2020―Jul―08 |
Rapid detection of COVID-19 clusters in the United States using a prospective space-time scan statistic |
Alexander Hohl, Eric Delmelle, Michael Desjardins |
| 8 |
[GO] |
2020―Jun―03 |
Introduction to this special issue: Modeling and understanding the spread of COVID-19 |
Andreas Züfle |
| 9 |
[GO] |
2020―Jun―03 |
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 |
| 10 |
[GO] |
2020―Jun―03 |
Rapid detection of COVID-19 clusters in the United States using a prospective space-time scan statistic |
Alexander Hohl, Eric Delmelle, Michael Desjardins |
