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  • Webinar Series on COVID-19 Impact Analysis
     Webinar Series on COVID-19 Impact Analysis

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

    11:30PM-1:00 AM, Friday, Jan 9-Feb 5, 2021 (Beijing Time)



    l  NSF Spatiotemporal Innovation Center

    l  Department of Earth Sciences, Tsinghua University

    l  School of Geography, Nanjing Normal University

    l  China Data Institute

    l  Future Data Lab

    l  Annals of GIS

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    10:30AM-12:00 PM, Friday, January 8, 2021 (US EDT)

    l  COVID-19 Metrics for the US Congressional Districts and India Parliament Constituencies

    S V Subramanian and Weixing Zhang, Harvard University

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

    Peng Gong, University of Hong Kong

    Chair: Wendy Guan, Harvard University


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

    l  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

    l  An overview of COVID-19 modeling and applications

    Jian Li, Tulane University

    Chair: Xi Chen, Yale University


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

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

    Melinda Laituri, Colorado State University

    l  An overview of human mobility and COVID-19 transmission

    Mengxi Zhang, Ball State University

    Chair: Lizheng Shi, Tulane University


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

    l  Assessing Household Readiness for COVID-19 in Developing Countries

    Chunling Lu, Harvard University

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

    Chaowei Yang, Georgia Mason University

    Chair: A-Xing Zhu, University of Wisconsin Madison


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

    l  Interiorization of COVID-19 in Brazil

    Marcia C.de Castro, Harvard University

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

    Sun Kim, Harvard University

    Chair: Shuming Bao, China Data Institute


    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 Spatial Data Lab and Dataverse 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 Dataverse

    Contact: office@chinadatacenter.net
  Email: office@chinadatacenter.net