This paper is in the following e-collection/theme issue:

Proposals (eHealth) (80) Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452) Big Data (240) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

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

Authors of this article:

Zhenlong Li1 Author Orcid Image ;   Xiaoming Li2 Author Orcid Image ;   Dwayne Porter3 Author Orcid Image ;   Jiajia Zhang4 Author Orcid Image ;   Yuqin Jiang1 Author Orcid Image ;   Bankole Olatosi5 Author Orcid Image ;   Sharon Weissman6 Author Orcid Image
Article Authors Cited by (26) Tweetations (3) Metrics

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, United States

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

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

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

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

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

Corresponding Author:

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