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

Formative Evaluation of Digital Health Interventions (2414) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Data Science (270) mHealth for Data Collection and Research (955) Infectious Diseases (non-STD/STI) (1575) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Statistical Methods for Surveillance and Population Health (156) Epidemiology (159) Public (e)Health, Digital Epidemiology and Public Health Informatics (725)

Published on in Vol 8 (2024)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55013, first published .
Nonrepresentativeness of Human Mobility Data and its Impact on Modeling Dynamics of the COVID-19 Pandemic: Systematic Evaluation

Nonrepresentativeness of Human Mobility Data and its Impact on Modeling Dynamics of the COVID-19 Pandemic: Systematic Evaluation

Nonrepresentativeness of Human Mobility Data and its Impact on Modeling Dynamics of the COVID-19 Pandemic: Systematic Evaluation

Authors of this article:

Chuchu Liu1, 2 Author Orcid Image ;   Petter Holme3, 4 Author Orcid Image ;   Sune Lehmann5 Author Orcid Image ;   Wenchuan Yang2 Author Orcid Image ;   Xin Lu2 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Chuchu Liu   1, 2 , PhD ;   Petter Holme   3, 4 , Prof Dr ;   Sune Lehmann   5 , Prof Dr ;   Wenchuan Yang   2 , PhD ;   Xin Lu   2 , Prof Dr

1 School of Economics and Management, Changsha University of Science and Technology, Changsha, China

2 College of Systems Engineering, National University of Defense Technology, Changsha, China

3 Department of Computer Science, Aalto University, Espoo, Finland

4 Center for Computational Social Science, Kobe University, Kobe, Japan

5 Department of Applied Mathematics and Computer Science, Technical University of Denmark, Copenhagen, Denmark

Corresponding Author:

  • Xin Lu, Prof Dr
  • College of Systems Engineering
  • National University of Defense Technology
  • No 137 Yanwachi Street
  • Changsha, 410073
  • China
  • Phone: 86 18627561577
  • Email: xin.lu.lab@outlook.com