Resources for COVID-19

COVID-19 Harvard Dataverse

CDL Platform

call for papers

Special Issue “Spatiotemporal Analysis of the Impact of COVID-19” in Annals of GIS

Guest editors:
- Dr. Shuming Bao, China Data Institute, sbao@umich.edu
- Dr. Wendy Guan, Harvard University, wguan@cga.harvard.edu
- Dr. Chaowei Yang, George Mason University, cyang3@gmu.edu

Background on the special issue:
As a once-in-100-years pandemic, COVID-19 is changing and reshaping the world. COVID-19 poses grand challenges to human society and drives us to invent new analytical tools to examine the spatiotemporal patterns of the complex system for theories, methodologies, and applications of interdisciplinary research.
This Special Issue is organized to capture such new development with a focus on the spatiotemporal analysis of the impact of COVID-19. The topics may include related theories, methodologies, data and applications. We are especially interested in research that can help understand the short-term and long-term impacts of COVID-19 on health, demographics, socioeconomics, environment, politics and other fields over space and time.

Submission procedures and deadlines:
The full paper should be submitted to Annals of GIS via its online submission system at https://mc.manuscriptcentral.com/tagi before the submission deadline (January31, 2021)

free acount

This project aims to provide an information infrastructure for the spatial study of the new novel coronavirus (COVID-19), which was first reported in Wuhan, China and then were found in more than 60 countries and regions in the world. The objectives of this project are:

  • 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.
  • To facilitate quantitative research on spatial spreading and impacts of COVID-19 with advanced methodology and technology.
  • To promote collaborative research on the spatial study of COVID-19 on the China Data Lab, Dataverse and WorldMap platforms.
  • To build research capacity for future collaborative projects.

This project is 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 Future Data Lab, and the RMDS Lab. The project has received support from many other research institutions and companies on data, methodology, technology, and cloud platform. The final data are deployed to covid-19.chinadatalab.net for research sharing.

More details about the COVID-19 project is on the shared presentation An Introduction to the Data Resources for Covid-19 Studies.

world access

Contact: spatialdatalab@lists.fas.harvard.edu