Deriving fine-scale models of human mobility from aggregated origin-destination flow data.

ABSTRACT: The spatial dynamics of epidemics are fundamentally affected by patterns of human mobility. Mobile phone call detail records (CDRs) are a rich source of mobility data, and allow semi-mechanistic models of movement to be parameterised even for resource-poor settings. While the gravity model typically reproduces human movement reasonably well at the administrative level spatial scale, past studies suggest that parameter estimates vary with the level of spatial discretisation at which models are fitted. Given that privacy concerns usually preclude public release of very fine-scale movement data, such variation would be problematic for individual-based simulations of epidemic spread parametrised at a fine spatial scale. We therefore present new methods to fit fine-scale mathematical mobility m

SUBMITTER: Ciavarella C 

PROVIDER: S-EPMC7920350 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature