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

Public Health Informatics (135) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (137) Infectious Diseases (non-STD/STI) (1726) Statistical Methods for Surveillance and Population Health (188) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64914, first published .
Characterizing US Spatial Connectivity and Implications for Geographical Disease Dynamics and Metapopulation Modeling: Longitudinal Observational Study

Characterizing US Spatial Connectivity and Implications for Geographical Disease Dynamics and Metapopulation Modeling: Longitudinal Observational Study

Characterizing US Spatial Connectivity and Implications for Geographical Disease Dynamics and Metapopulation Modeling: Longitudinal Observational Study

Authors of this article:

Giulia Pullano1 Author Orcid Image ;   Lucila Gisele Alvarez-Zuzek2 Author Orcid Image ;   Vittoria Colizza3 Author Orcid Image ;   Shweta Bansal1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Giulia Pullano   1 , PhD ;   Lucila Gisele Alvarez-Zuzek   2 , PhD ;   Vittoria Colizza   3 , PhD ;   Shweta Bansal   1 , PhD

1 Department of Biology, Georgetown University, Washington, DC, United States

2 Fondazione Bruno Kessler, Trento, Italy

3 Sorbonne Université, INSERM, Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP), Paris, France

Corresponding Author:

  • Shweta Bansal, PhD
  • Department of Biology
  • Georgetown University
  • 37th and O Streets NW
  • Washington, DC 20057-1229
  • United States
  • Phone: 1 202 687 9256
  • Email: sb753@georgetown.edu