Imperial College London
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Dr Sabine L. van Elsland

Faculty of Medicine, School of Public Health

External Relationships & Communications Manager
 
 
 
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Contact

 

+44 (0)20 7594 3896s.van-elsland

 
 
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Location

 

G35Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@techreport{Jeffrey:2020:10.25561/79387,
author = {Jeffrey, B and Walters, C and Ainslie, K and Eales, O and Ciavarella, C and Bhatia, S and Hayes, S and Baguelin, M and Boonyasiri, A and Brazeau, N and Cuomo-Dannenburg, G and Fitzjohn, R and Gaythorpe, K and Green, W and Imai, N and Mellan, T and Mishra, S and Nouvellet, P and Unwin, H and Verity, R and Vollmer, M and Whittaker, C and Ferguson, N and Donnelly, C and Riley, S},
doi = {10.25561/79387},
title = {Report 24: 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/10.25561/79387},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - RPRT
AB  - Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of socialdistancing policies, which have resulted in reduced mobility across different regions. Crowd level dataon mobile phone usage can be used as a proxy for actual population mobility patterns and provide away of quantifying the impact of social distancing measures on changes in mobility. Here, we use twomobile phone-based datasets (anonymised and aggregated crowd level data from O2 and from theFacebook app on mobile phones) to assess changes in average mobility, both overall and broken downinto high and low population density areas, and changes in the distribution of journey lengths. Weshow that there was a substantial overall reduction in mobility with the most rapid decline on the 24thMarch 2020, the day after the Prime Minister’s announcement of an enforced lockdown. Thereduction in mobility was highly synchronized across the UK. Although mobility has remained low since26th March 2020, we detect a gradual increase since that time. We also show that the two differentdatasets produce similar trends, albeit with some location-specific differences. We see slightly largerreductions in average mobility in high-density areas than in low-density areas, with greater variationin mobility in the high-density areas: some high-density areas eliminated almost all mobility. We areonly able to observe populations living in locations where sufficient number of people use Facebookor a device connected to the relevant provider’s network such that no individual is identifiable. Theseanalyses form a baseline with which to monitor changes in behaviour in the UK as social distancing iseased.
AU  - Jeffrey,B
AU  - Walters,C
AU  - Ainslie,K
AU  - Eales,O
AU  - Ciavarella,C
AU  - Bhatia,S
AU  - Hayes,S
AU  - Baguelin,M
AU  - Boonyasiri,A
AU  - Brazeau,N
AU  - Cuomo-Dannenburg,G
AU  - Fitzjohn,R
AU  - Gaythorpe,K
AU  - Green,W
AU  - Imai,N
AU  - Mellan,T
AU  - Mishra,S
AU  - Nouvellet,P
AU  - Unwin,H
AU  - Verity,R
AU  - Vollmer,M
AU  - Whittaker,C
AU  - Ferguson,N
AU  - Donnelly,C
AU  - Riley,S
DO  - 10.25561/79387
PY  - 2020///
TI  - Report 24: Mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK
UR  - http://dx.doi.org/10.25561/79387
UR  - https://www.imperial.ac.uk/media/imperial-college/medicine/mrc-gida/2020-05-29-COVID19-Report-24.pdf
UR  - http://hdl.handle.net/10044/1/79387
ER  -
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