Household visitation during the COVID-19 pandemic

被引：0
作者：
Stuart Ross
George Breckenridge
Mengdie Zhuang
Ed Manley
机构：
[1] University of Leeds,School of Geography
[2] University College London,Centre for Advanced Spatial Analysis
[3] University of Sheffield,Information School
[4] The Alan Turing Institute for Data Science and Artificial Intelligence,undefined
来源：
Scientific Reports | / 11卷
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摘要：
The COVID-19 pandemic has posed novel risks related to the indoor mixing of individuals from different households and challenged policymakers to adequately regulate this behaviour. While in many cases household visits are necessary for the purpose of social care, they have been linked to broadening community transmission of the virus. In this study 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. We implement this approach in England from January 2020 to May 2021. The measures expose significant spatial and temporal variation in household visitation patterns, impacted by both national and regional lockdown policies, and the rollout of the vaccination programme. The findings point to complex social processes unfolding differently over space and time, likely informed by variations in policy adherence, vaccine relaxation, and regional interventions.
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