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

Formative Evaluation of Digital Health Interventions (2743) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (904) Data Science (297) mHealth for Data Collection and Research (1059) Infectious Diseases (non-STD/STI) (1645) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1527) Statistical Methods for Surveillance and Population Health (169) Epidemiology (171) Public (e)Health, Digital Epidemiology and Public Health Informatics (840)

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
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Petter Holme Petter Holme @pholme

New paper alert ???????? About demographic biases in epidemic simulations on cell-phone-based mobility data. https://t.co/2g2jRIV3T2

6:11 PM · Jul 01, 2024

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