Modeling COVID-19 Pandemic: Resources, Methodology and Applications
Modeling COVID-19 Pandemic: Resources, Methodology and Applications
9:00-11:00 PM, Thursday, July 9-30, 2020 (US Eastern Time)
Co-Organizers：
l China Data Institute and Future Data Lab
l China Health Policy and Management Society
Sponsor: Taikang Public Health and Epidemic Prevention Fund
9:00-11:00 PM, July 9, 2020
I. Overview
An Overview of Models for COVID-19 Pandemic, Perter Song, University Michigan
Discussants: Qiushi Chen, Penn State University
Chair: Harry Zhang, Old Dominion University
PPT: China Data Lab, 2020, "1-Song_Peter and Chen_Qiushi_Review_Models_20200709.pdf", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/9LEF3V
Recording: China Data Lab, 2020, "1-Song_Peter and Chen_Qiushi_Review_Models_20200709.mp4", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/8OBQLZ
9:00-11:00 PM, July 16, 2020
II. Methodology
1. Global Supply Chain effect of COVID-19 lockdown，Dabo Guan and Peng Gong, Tsinghua University
Discussant: Shiyong Liu, Southwest University of Finance and Economics
PPT: China Data Lab, 2020, "2-Guan_Dabo_Covid Footprints_20200716.pdf", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/X4B3LA
2. Unmet Needs: Healthcare Crowd-out During the COVID-19 Pandemic，Jian Ni, Johns Hopkins University
Discussant: Mingwang Shen, Xian Jiaotong University
PPT：China Data Lab, 2020, "2-Jian_Ni_Healthcare Crowdout_COVID_20200716.pdf", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/CTWRLS
Chair: Jian Wang, Wuhan University
Recording: China Data Lab, 2020, "Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications", https://doi.org/10.7910/DVN/NXF45W
9:00-11:00 PM, July 23, 2020
III. The Applications of COVID-19 Models
1. Optimal Travel Restrictions in Epidemics, Xi Chen, Yale University
Discussant: Yiwei Chen, Stanford University
PPT：China Data Lab, 2020, "3-Chen_Xi_Optimal_Travel_Restriction_20200723.pdf", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/UX89LN
2. COVID-19 modelling for policy analysis, Winnie Chi-Man Yip, Harvard University
Discussant: Liming Cai, Centers for Medicare & Medicaid Services
PPT：China Data Lab, 2020, "3-Winnie_Yip_COVID modelling policy 20200723.pdf", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/HUTTKJ
Chair: Mengxi Zhang, Ball State University
Recording: China Data Lab, 2020, "3-Modeling COVID-19 Pandemic-20200723.mp4", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/VV9RBD
9:00-11:00 PM, July 30, 2020
IV. Predictive Models and Data Review
1. Predictions, Role of Intervention and the Historic National Lockdown in India
Bhramar Mukherjee, Debashree Ray, Maxwell Salvatore, Rupam Bhttacharyya, University of Michigan
Discussant: Yanfang Su, University of Washington
PPT：China Data Lab, 2020, "Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications", https://doi.org/10.7910/DVN/NXF45W
2. The Data Review for Covid-19 Modeling
Wendy Guan and Tao Hu, Harvard University
Discussant: Chaowei Yang, George Mason University
PPT：China Data Lab, 2020, "4-COVID-19 Data_Review_20200731.pdf", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/ZNOZRR
Chair: Lizheng Shi, Tulane University
Recording: China Data Lab, 2020, "4-Modeling COVID-19 Pandemic-20200731.mp4", Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications, https://doi.org/10.7910/DVN/NXF45W/7Y7OQB
Background:
As a joint effort by scholars and professionals from the Center for Geographical Analysis at Harvard University, the Geo-Computation Center for Social Sciences at Wuhan University, the China Data Institute, the Spatiotemporal Innovation Center at George Mason University, RMDS Lab, and some other institutions, an initiative on “Resources for COVID-19 Study” was sponsored by the China Data Lab project (http://chinadatalab.net). The objectives of this project are: (1) to provide data support for the spatial study of COVID-19 at local, regional and global levels with information collected and integrated from different sources; (2) to facilitate quantitative research on spatial spreading and impacts of COVID-19 with advanced methodology and technology; (3) to promote collaborative research on the spatial study of COVID-19 on the China Data Lab, Dataverse and WorldMap platforms; and (4) to build research capacity for future collaborative projects. This forum will discusses data resources, methodology, technology, and applications for COVID-19 models across countries and regions.
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