Ontology highlight
ABSTRACT:
SUBMITTER: Jeffrey B
PROVIDER: S-EPMC7479499 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Jeffrey Benjamin B Walters Caroline E CE Ainslie Kylie E C KEC Eales Oliver O Ciavarella Constanze C Bhatia Sangeeta S Hayes Sarah S Baguelin Marc M Boonyasiri Adhiratha A Brazeau Nicholas F NF Cuomo-Dannenburg Gina G FitzJohn Richard G RG Gaythorpe Katy K Green William W Imai Natsuko N Mellan Thomas A TA Mishra Swapnil S Nouvellet Pierre P Unwin H Juliette T HJT Verity Robert R Vollmer Michaela M Whittaker Charles C Ferguson Neil M NM Donnelly Christl A CA Riley Steven S
Wellcome open research 20200717
<b>Background:</b> Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which have resulted in reduced mobility across different regions. Crowd level data on mobile phone usage can be used as a proxy for actual population mobility patterns and provide a way of quantifying the impact of social distancing measures on changes in mobility. <b>Methods:</b> Here, we use two mobile phone-based datasets (anonymised and aggregated crowd ...[more]