Imperial College London
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DrPierreNouvellet

Faculty of Medicine, School of Public Health

Visiting Reader
 
 
 
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p.nouvellet

 
 
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UG 11Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jeffrey:2020:10.12688/wellcomeopenres.15997.1,
author = {Jeffrey, B and Walters, CE and Ainslie, KEC and Eales, O and Ciavarella, C and Bhatia, S and Hayes, S and Baguelin, M and Boonyasiri, A and Brazeau, NF and Cuomo-Dannenburg, G and FitzJohn, RG and Gaythorpe, K and Green, W and Imai, N and Mellan, TA and Mishra, S and Nouvellet, P and Unwin, HJT and Verity, R and Vollmer, M and Whittaker, C and Ferguson, NM and Donnelly, CA and Riley, S},
doi = {10.12688/wellcomeopenres.15997.1},
journal = {Wellcome Open Res},
title = {Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK.},
url = {http://dx.doi.org/10.12688/wellcomeopenres.15997.1},
volume = {5},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background: 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. Methods: Here, we use two mobile phone-based datasets (anonymised and aggregated crowd level data from O2 and from the Facebook app on mobile phones) to assess changes in average mobility, both overall and broken down into high and low population density areas, and changes in the distribution of journey lengths. Results: We show that there was a substantial overall reduction in mobility, with the most rapid decline on the 24th March 2020, the day after the Prime Minister's announcement of an enforced lockdown. The reduction in mobility was highly synchronized across the UK. Although mobility has remained low since 26th March 2020, we detect a gradual increase since that time. We also show that the two different datasets produce similar trends, albeit with some location-specific differences. We see slightly larger reductions in average mobility in high-density areas than in low-density areas, with greater variation in mobility in the high-density areas: some high-density areas eliminated almost all mobility. Conclusions: These analyses form a baseline from which to observe changes in behaviour in the UK as social distancing is eased and inform policy towards the future control of SARS-CoV-2 in the UK.
AU  - Jeffrey,B
AU  - Walters,CE
AU  - Ainslie,KEC
AU  - Eales,O
AU  - Ciavarella,C
AU  - Bhatia,S
AU  - Hayes,S
AU  - Baguelin,M
AU  - Boonyasiri,A
AU  - Brazeau,NF
AU  - Cuomo-Dannenburg,G
AU  - FitzJohn,RG
AU  - Gaythorpe,K
AU  - Green,W
AU  - Imai,N
AU  - Mellan,TA
AU  - Mishra,S
AU  - Nouvellet,P
AU  - Unwin,HJT
AU  - Verity,R
AU  - Vollmer,M
AU  - Whittaker,C
AU  - Ferguson,NM
AU  - Donnelly,CA
AU  - Riley,S
DO  - 10.12688/wellcomeopenres.15997.1
PY  - 2020///
SN  - 2398-502X
TI  - Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK.
T2  - Wellcome Open Res
UR  - http://dx.doi.org/10.12688/wellcomeopenres.15997.1
UR  - https://www.ncbi.nlm.nih.gov/pubmed/32954015
VL  - 5
ER  -
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