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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMIR Theme Issue: COVID-19 Special Issue (2461) mHealth for Data Collection and Research (982) Mobile Health (mhealth) (2987) Outbreak and Pandemic Preparedness and Management (1743)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39588, first published .
Impact of Human Mobility on COVID-19 Transmission According to Mobility Distance, Location, and Demographic Factors in the Greater Bay Area of China: Population-Based Study

Impact of Human Mobility on COVID-19 Transmission According to Mobility Distance, Location, and Demographic Factors in the Greater Bay Area of China: Population-Based Study

Impact of Human Mobility on COVID-19 Transmission According to Mobility Distance, Location, and Demographic Factors in the Greater Bay Area of China: Population-Based Study

Authors of this article:

Jizhe Xia1, 2 Author Orcid Image ;   Kun Yin3 Author Orcid Image ;   Yang Yue1, 2 Author Orcid Image ;   Qingquan Li1, 2 Author Orcid Image ;   Xiling Wang4 Author Orcid Image ;   Dongsheng Hu5 Author Orcid Image ;   Xiong Wang6 Author Orcid Image ;   Zhanwei Du7, 8 Author Orcid Image ;   Ben J Cowling7, 8 Author Orcid Image ;   Erzhen Chen9 Author Orcid Image ;   Ying Zhou9 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Neisi A, Farhadi M, Talepour N. The Impact of Physical Distance on COVID-19 Transmission: A Comprehensive Review of Evidence and Implications. Journal of Human Environment and Health Promotion 2023;9(3):113 View
  2. Dong W, Miao Y, Shen Z, Zhang W, Bai J, Zhu D, Ren R, Zhang J, Wu J, Tarimo C, Ojangba T, Li Y. Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study. JMIR Public Health and Surveillance 2024;10:e50595 View
  3. Liu C, Holme P, Lehmann S, Yang W, Lu X. Nonrepresentativeness of Human Mobility Data and its Impact on Modeling Dynamics of the COVID-19 Pandemic: Systematic Evaluation. JMIR Formative Research 2024;8:e55013 View
  4. Singh A, Rani P, Bandsode V, Nyambero M, Qumar S, Ahmed N. Drivers of virulence and antimicrobial resistance in Gram-negative bacteria in different settings: A genomic perspective. Infection, Genetics and Evolution 2024;124:105666 View
  5. Wang P, Yuan Y. Analyzing Key Factors Influencing Human Mobility Before and During COVID‐19 With Explainable Machine Learning. Transactions in GIS 2024 View