Regional policy coordination of pandemic responses using an iterative mobility-driven algorithm

Milad Baghersad, Gulcin Gumus, C. Derrick Huang and Ravi S. Behara

Regional Studies, 2024, vol. 58, issue 2, 393-408

Abstract: The COVID-19 experience has shown that horizontal cooperation of non-pharmaceutical interventions across jurisdictions is crucial to combat pandemics. However, the question of how to construct policy coordination regions has not yet received enough attention. In this study, we develop an iterative mobility-driven community detection algorithm based on the modularity function to identify multilevel public policy coordination regions. As a case study, we use movement of people in the United States to identify regions of interconnected locations at different levels. We argue that pre-emptively designed community structures based on mobility can be more appropriate to meet critical preparedness goals than existing jurisdictions.

Date: 2024
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DOI: 10.1080/00343404.2023.2220749

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