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

Journals

  1. Miao Y, Li Y, Zhang W, Wu J, Shen Z, Bai J, Zhu D, Ren R, Zhang J, Tarimo C, Yang F, Ojancba T, Dong W. Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban: A Cross-Sectional Observational Study (Preprint). JMIR Public Health and Surveillance 2023 View
  2. Xu W, Wang Z, Attia N, Attia Y, Zhang Y, Zong H. An experienced racial-ethnic diversity dataset in the United States using human mobility data. Scientific Data 2024;11(1) View