Webinar Series on COVID-19 Impact Analysis

Date: 

Fri - Fri, Jan 8 to Feb 5, 5:40pm - 5:40pm

Location: 

https://www.eventbrite.com/e/132751745043

Webinar Series on COVID-19 Impact Analysis

10:30AM-12:00 PM, Friday, Jan 8-Feb 5, 2021 (US Eastern Time)

Co-sponsors

  • NSF Spatiotemporal Innovation Center
  • Department of Earth Sciences, Tsinghua University
  • School of Geography, Nanjing Normal University
  • China Data Institute and Future Data Lab
  • Annals of GIS

Register Now

https://www.eventbrite.com/e/132751745043

  1. 10:30AM-12:00 PM, Friday, January 8, 2021 (US EDT)
  • COVID-19 Metrics for the US Congressional Districts and India Parliament Constituencies

S V Subramanian and Weixing Zhang, Harvard University

  • Global COVID-19 pandemic demands joint interventions for the suppression of future waves

Peng Gong, University of Hong Kong

Chair: Wendy Guan, Harvard University

2. 10:30AM-12:00 PM, Friday, January 15, 2021 (US EDT)

  • Intergenerational residence patterns and COVID-19 fatalities in the EU and the US

Shoshana Grossbard, San Diego State University; Ainoa Aparicio Fenoll, University of Turin

  • An overview of COVID-19 modeling and applications

Jian Li, Tulane University

Chair: Xi Chen, Yale University

3. 10:30AM-12:00 PM, Friday, January 22, 2021 (US EDT)

  • COVID-19’s Second-Order Impacts on Global Vulnerable Urban Areas

Melinda Laituri, Colorado State University

  • An overview of human mobility and COVID-19 transmission

Mengxi Zhang, Ball State University

Chair: Lizheng Shi, Tulane University

4. 10:30AM-12:00 PM, Friday, January 29, 2021 (US EDT)

  • Assessing Household Readiness for COVID-19 in Developing Countries

Chunling Lu, Harvard University

  • Taking the pulse of COVID-19: a spatiotemporal perspective

Chaowei Yang, Georgia Mason University

Chair: A-Xing Zhu, University of Wisconsin Madison

5. 10:30AM-12:00 PM, Friday, Feb 5, 2021 (US EDT)

  • Interiorization of COVID-19 in Brazil

Marcia C.de Castro, Harvard University

  • Spatiotemporal pattern of COVID-19 and government response in South Korea

Sun Kim, Harvard University

Chair: Shuming Bao, China Data Institute

 

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 NSF Spatiotemporal Innovation Center, 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. The project has sponsored two webinar series on Covid-19 data and modeling (see links to recorded webinars below). This is the 3rd webinar series with a focus on the impact analysis of COVID-19 pandemic.

1. "Webinars for "Resources for COVID-19 Study", https://doi.org/10.7910/DVN/OTYQUY, Harvard Dataverse

2. "Webinars on Modeling COVID-19 PandemicResources, Methodology and Applications", https://doi.org/10.7910/DVN/NXF45W, Harvard Datavers

See also: Seminars