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Part 1: Document Description
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Citation |
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Title: |
Webinar Series on COVID-19 Impact Analysis |
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Identification Number: |
doi:10.7910/DVN/TGORYN |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2021-01-08 |
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Version: |
6 |
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Bibliographic Citation: |
Spatial Data Lab, 2021, "Webinar Series on COVID-19 Impact Analysis", https://doi.org/10.7910/DVN/TGORYN, Harvard Dataverse, V6 |
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Citation |
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Title: |
Webinar Series on COVID-19 Impact Analysis |
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Identification Number: |
doi:10.7910/DVN/TGORYN |
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Authoring Entity: |
Spatial Data Lab (Spatial Data Lab) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Spatial Data Lab |
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Depositor: |
China, Data Lab |
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Date of Deposit: |
2021-01-08 |
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Holdings Information: |
https://doi.org/10.7910/DVN/TGORYN |
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Study Scope |
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Keywords: |
Computer and Information Science, Medicine, Health and Life Sciences, Social Sciences, COVID-19 |
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Abstract: |
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. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
1-COVID-19 Metrics for US CDs and India PCs |
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Notes: |
application/pdf |
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Label: |
1-Global Simulator Basedon Traffic Networks |
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Notes: |
application/pdf |
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Label: |
1-Webinar Series on COVID-19 Impact Analysis-20210108 |
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Notes: |
video/mp4 |
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2-Li_Jian_COVID_impact_on_epidemic_modeling_20210115.pdf |
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Notes: |
application/pdf |
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Label: |
2-Shoshana Grossbard_Intergenerational Residence Patterns and Covid-19 Fatalities in Europe and the US_20210115.pdf |
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Notes: |
application/pdf |
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2-Webinar Series on COVID-19 Impact Analysis-20210115.mp4 |
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Notes: |
video/mp4 |
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Label: |
3-Melinda Laituri_Second-order impacts of a global pandemic_20210122.pdf |
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Notes: |
application/pdf |
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3-Mengxi_Zhang_An overview of human mobility and COVID-19 transmission_20210122.pdf |
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Notes: |
application/pdf |
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Label: |
3-Webinar Series on COVID-19 Impact Analysis-20210122.mp4 |
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Notes: |
video/mp4 |
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Label: |
4-Lu_Chunling_Young Children Living in HHs Prepared for COVID_20210129.pdf |
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Notes: |
application/pdf |
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4-Webinar Series on COVID-19 Impact Analysis-20210129.mp4 |
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Notes: |
video/mp4 |
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4-Yang_Chaowei_Taking the pulse of COVID-19_20210129.pdf |
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Notes: |
application/pdf |
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5-Kim_Sun_Spatiotemporal pattern of COVID-19_20210205.pdf |
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Notes: |
application/pdf |
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5-Webinar Series on COVID-18 Impact Analysis-20210205.mp4 |
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Notes: |
video/mp4 |