Series of webinars (July 9-30, 2020) on “Modeling COVID-19 Pandemic: Resources, Methodology, and Applications”. Register Now!

Modeling COVID-19 Pandemic: Resources, Methodology, and Applications

9:00-11:00 PM, Thursday, July 9-30, 2020 (US Eastern Time)

Register Now!


Sponsor: Taikang Luojia Institute


  • Global Labor Organization
  • Department of Earth Sciences, Tsinghua University
  • School of Public Health, Peking Union Medical College
  • Meinian Public Health Research Institute, Peking University Health Science Center
  • Geocomputation Center for Social Sciences, Wuhan University
  • School of Public Health, Huazhong University of Science and Technology
  • School of Medicine and Health Management, Huazhong University of Science and Technology
  • School of Public Health, Central South University
  • School of Public Health, Guangxi Medical University 
  • School of Health Policy and Management, Nanjing Medical University
  • School of Health Care Management, Shandong University
  • School of Public Policy and Administration, Xi’an Jiaotong University
  • School of Public Health, Southern Medical University 
  • School of Public Health, Guizhou Medical University   
  • School of Public Health, Guangdong Pharmaceutical University
  • Institute of Health Education and Lifecourse Promotion (iHELP)

9:00-11:00 PM, July 9, 2020

I. Overview (in Chinese)

  • An Overview of Models for COVID-19 Pandemic, Perter Song, University Michigan
  • An Overview of Data and Resources for COVID-19 Modeling, Tao Hu, Harvard University


  • Qiushi Chen, Penn State University
  • Chaowei Yang, George Mason University

Chair: Harry Zhang, Old Dominion University

9:00-11:00 PM, July 16, 2020

II. Methodology (in Chinese)

  • Peng Gong, Tsinghua University
  • Jian Ni, Johns Hopkins University


  • Shiyong Liu, Southwest University of Finance and Economics
  • Mingwang Shen, Xian Jiaotong University

Chair: Jian Wang, Wuhan University

9:00-11:00 PM, July 23, 2020

III. Applications (in English)

  • Xi Chen, Yale University
  • Winnie Chi-Man Yip, Harvard University


  • Yiwei Chen, Stanford University
  • Liming Cai, U.S. Centers for Medicare & Medicaid Services

Chair: Mengxi Zhang, Ball State University

9:00-11:00 PM, July 30, 2020

IV. Predictions, Role of Intervention and the Historic National Lockdown in India (in English)

  • Bhramar Mukherjee, Debashree Ray, Maxwell Salvatore, Rupam Bhttacharyya, University of Michigan


  • Yanfang Su, University of Washington

Chair: Lizheng Shi, Tulane University


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 ( 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 discuss data resources, methodology, technology, and applications for COVID-19 models across countries and regions.