Assessing the impact of interregional mobility on COVID19 spread in Spain using transfer entropy.

ABSTRACT: Human mobility played a key role in shaping the spatiotemporal dynamics of COVID19 transmission. This study employs Transfer Entropy (TE), an information-theoretic approach, to investigate the directional relationship between interregional mobility and COVID19 spread in Spain. Specifically, we use the mobility-associated risk time series, derived from phone-based origin-destination data and local infection prevalence, to estimate the flow of potentially infected individuals between regions. TE is then applied to measure the information flow from mobility-associated risk to regional case counts, enabling us to uncover spatio-temporal patterns of mobility-driven transmission. Using real-world data, we identified provinces that acted as outbreak drivers during the COVID19 pandemic in Spain an

SUBMITTER: Ponce-de-Leon M 

PROVIDER: S-EPMC12381067 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature