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

Authors

• Giulia Pullano (1)
• Lucila Gisele Alvarez-Zuzek (2)
• Vittoria Colizza (3)
• Shweta Bansal (1)

(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

Abstract

Human mobility significantly influences the geographic spread of infectious diseases. This study addresses critical questions:

1. How does mobility contribute to infection spread within the United States at local, regional, and national scales?
2. How do seasonality and behavioral shifts affect mobility over time?
3. At what geographic level is mobility homogeneous across the United States?

Understanding these aspects is essential for developing accurate transmission models, predicting disease propagation across scales, and determining optimal geographic and temporal scales for implementing control policies. :contentReference[oaicite:0]{index=0}

Repository Contents

• Data: Datasets used and generated during the study.
• Scripts: Code for data analysis, and metapopulation modeling.

Publication

This study was published in JMIR Public Health and Surveillance. You can access the full article here.

Citation

If you use any part of this repository, please cite the original article:

Pullano G, Alvarez-Zuzek LG, Colizza V, Bansal S. Characterizing US Spatial Connectivity and Implications for Geographical Disease Dynamics and Metapopulation Modeling: Longitudinal Observational Study. JMIR Public Health Surveill 2025;11:e64914.