#  Webinar Series on COVID-19 Impact Analysis 

 



####  calendar\_today Date and Time 

 **January 8 - February 5, 2021** 

 05:40PM - 05:40PM EST 

####  pin\_drop Location 

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



 

 [ Register for this event arrow\_circle\_right ](https://www.eventbrite.com/e/webinar-series-on-covid-19-impact-analysis-tickets-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](https://urldefense.proofpoint.com/v2/url?u=http-3A__chinadatalab.net&d=DwMFbw&c=WO-RGvefibhHBZq3fL85hQ&r=zMu5jalDfZMENc7OOnv1Ia2gaY7mMV97Zac1lcV_1JU&m=UgQ1zlx4WNJ1mpLUPl02-YZYIJ-dsrYaJatw-IGWMVc&s=mjwirJGzfwKc7b_r2oz6CtBjfFzdxMaNXh69wBODqb4&e=)). 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](https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10.7910_DVN_OTYQUY&d=DwMFbw&c=WO-RGvefibhHBZq3fL85hQ&r=zMu5jalDfZMENc7OOnv1Ia2gaY7mMV97Zac1lcV_1JU&m=UgQ1zlx4WNJ1mpLUPl02-YZYIJ-dsrYaJatw-IGWMVc&s=rm9UzhBMi7v96QEZD5sAo8sm6Y4IkifNPyb80mdbWMM&e=), Harvard Dataverse

 2. "Webinars on Modeling COVID-19 Pandemic：Resources, Methodology and Applications", [https://doi.org/10.7910/DVN/NXF45W](https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10.7910_DVN_NXF45W&d=DwMFbw&c=WO-RGvefibhHBZq3fL85hQ&r=zMu5jalDfZMENc7OOnv1Ia2gaY7mMV97Zac1lcV_1JU&m=UgQ1zlx4WNJ1mpLUPl02-YZYIJ-dsrYaJatw-IGWMVc&s=3IZ9VcQRQZwSfMjz0bYhmUh5W_zV8phKflZ5jWNHi2w&e=), Harvard Datavers



 

 



 

 See also:- [ China Data Webinars ](/events/china-data-webinars)
 
 

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