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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1513) JMIR Theme Issue: COVID-19 Special Issue (2439) Web-based and Mobile Health Interventions (3247) Prevention and Health Promotion (955) Vaccination and Immunization in the Digital Age (365)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39166, first published .
Using Location Intelligence to Evaluate the COVID-19 Vaccination Campaign in the United States: Spatiotemporal Big Data Analysis

Using Location Intelligence to Evaluate the COVID-19 Vaccination Campaign in the United States: Spatiotemporal Big Data Analysis

Using Location Intelligence to Evaluate the COVID-19 Vaccination Campaign in the United States: Spatiotemporal Big Data Analysis

Authors of this article:

Qingfeng Li1 Author Orcid Image ;   James Cheng Peng2 Author Orcid Image ;   Diwakar Mohan1 Author Orcid Image ;   Brennan Lake3 Author Orcid Image ;   Alex Ruiz Euler3 Author Orcid Image ;   Brian Weir4 Author Orcid Image ;   Lena Kan1 Author Orcid Image ;   Cui Yang4 Author Orcid Image ;   Alain Labrique1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Qingfeng Li   1 , PhD ;   James Cheng Peng   2 , MSE ;   Diwakar Mohan   1 , MD, DrPH ;   Brennan Lake   3 , MBA ;   Alex Ruiz Euler   3 , PhD ;   Brian Weir   4 , PhD ;   Lena Kan   1 , MSPH ;   Cui Yang   4 , PhD ;   Alain Labrique   1 , PhD

1 Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

2 Department of Applied Mathematics and Statistics, Johns Hopkins Whiting School of Engineering, Baltimore, MD, United States

3 Cuebiq – Intelligence in Action, New York, NY, United States

4 Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

Corresponding Author:

  • Qingfeng Li, PhD
  • Department of International Health
  • Johns Hopkins Bloomberg School of Public Health
  • 615 N Wolfe St
  • Baltimore, MD, 21205
  • United States
  • Phone: 1 4106141419
  • Email: qli28@jhu.edu