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

Public Health Informatics (522) Public (e)Health, Digital Epidemiology and Public Health Informatics (2224) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (228) Statistical Methods for Surveillance and Population Health (248) Infectious Diseases (non-STD/STI) (1899)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64914, first published .
Two young women wearing face masks and looking at their phones outdoors

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 (7) Tweetations Metrics

Journals

  1. Kostandova N, Corgel R, Bansal S, Bérubé S, Cleary E, Hansen C, Hitchings M, García-Carreras B, Gardner L, Kraemer M, Lai S, Li Y, Perofsky A, Pullano G, Read J, Ribeiro dos Santos G, Salje H, Takahashi S, Viboud C, Wang J, Cummings D, Wesolowski A. Improving mobility data for infectious disease research. Nature Human Behaviour 2025;9(7):1309 View
  2. Qi R, Mou X, Liu H, Dogru T, So K. Analyzing and mapping the vulnerability and resilience of the hospitality industry: Insights from real consumer visitation behavior. International Journal of Hospitality Management 2026;132:104362 View
  3. Taube J, Susswein Z, Colizza V, Bansal S. Characterising non-household contact patterns relevant to respiratory transmission in the USA: analysis of a cross-sectional survey. The Lancet Digital Health 2025;7(8):100888 View
  4. Ascione C, Valdano E. Interplay of generation time and spatial structure in epidemic dynamics and the reliability of reproduction ratio estimates. Physical Review Research 2026;8(1) View
  5. Harris M, Sinclair A, Pullano G, Beckett S, LeJeune L, Agusto F, Bauch C, Baur C, Berestycki H, Dushoff J, Griette Q, Levin S, Velasco-Hernández J, Wu J, Weitz J, Rogers T, Wise S. Emerging frontiers in infectious disease modelling: reassessing the data-driven feedback loop between human behaviour and disease dynamics. Royal Society Open Science 2026;13(6) View
  6. Hatfield J, Chowdhury S, Alzarrad A. Modeling Community Resilience Under Prolonged Disruption: An Agent-Based Framework Integrating Social Connectivity, Migration, and Policy-Driven Allocation. Analytics 2026;5(3):20 View
  7. Pullano G, Bansal S, Rubrichi S, Colizza V, Zhao S. Mobility data resolution needed to inform predictive models of spatial epidemic spread from mobile phone data. PLOS Computational Biology 2026;22(7):e1014427 View