This is a code and data repository for the paper Household visitation during the COVID-19 pandemic by Stuart Ross, George Breckenridge, Mengdie Zhuang, and Ed Manley.
Household visits have been linked to broadening community transmission of the COVID-19, and many public health policy responses focused directly on reducing these activities. We propose a novel, privacy-preserving framework for the measurement of household visitation at national and regional scales, making use of passively collected mobility data from Cuebiq through their Data for Good programme. The findings point to complex social processes unfolding differently over space and time, likely informed by variations in policy adherence, vaccine relaxation, and local interventions.
The household_visit_england.csv contains the household visitation rates in England from January 2020 to May 2021 for each LTLA.
The Jupyter notebook Household Visitation.ipynb contains the code segements used to generate estimates of household visitation rate from mobility data.
Note that the raw mobility data is not publicly accessible.