Published on in Vol 9, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24432, first published .
Monitoring the Spatial Spread of COVID-19 and Effectiveness of Control Measures Through Human Movement Data: Proposal for a Predictive Model Using Big Data Analytics

Monitoring the Spatial Spread of COVID-19 and Effectiveness of Control Measures Through Human Movement Data: Proposal for a Predictive Model Using Big Data Analytics

Monitoring the Spatial Spread of COVID-19 and Effectiveness of Control Measures Through Human Movement Data: Proposal for a Predictive Model Using Big Data Analytics

Zhenlong Li 1, PhD;  Xiaoming Li 2, PhD;  Dwayne Porter 3, PhD;  Jiajia Zhang 4, PhD;  Yuqin Jiang 1, MSc;  Bankole Olatosi 5, PhD;  Sharon Weissman 6, MD

1 Geoinformation and Big Data Research Laboratory, Department of Geography, University of South Carolina, Columbia, SC, US

2 Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, US

3 Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, SC, US

4 Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, US

5 Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, US

6 Department of Internal Medicine, School of Medicine, University of South Carolina, Columbia, SC, US

Corresponding Author:

  • Zhenlong Li, PhD
  • Geoinformation and Big Data Research Laboratory
  • Department of Geography
  • University of South Carolina
  • 709 Bull Street
  • Columbia, SC
  • US
  • Phone: 1 8037774590
  • Email: zhenlong@sc.edu