European Conference on Mathematical and Theoretical Biology (ECMTB 2026)

Trending on the use of Google mobility data in COVID-19 mathematical models

MS82-05

16 Jul 2026, 15:30

20m

15.02 - HS (University of Graz)

Minisymposium Talk Mathematical Epidemiology Social dynamics and behavioural interactions in infectious disease modeling

Speaker

Daihai He (Department of Applied Mathematics, The Hong Kong Polytechnic University)

Description

Google mobility data has been widely used in COVID-19 mathematical modeling to understand disease transmission dynamics. This review examines the extensive literature on the use of Google mobility data in COVID-19 mathematical modeling. We mainly focus on over a dozen influential studies using Google mobility data in COVID-19 mathematical modeling, including compartmental and metapopulation models. Google mobility data provides valuable insights into mobility changes and interventions. However, challenges persist in fully elucidating transmission dynamics over time, modeling longer time series and accounting for individual-level correlations in mobility patterns, urging the incorporation of diverse datasets for modeling in the post-COVID-19 landscape.