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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

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References

2008Understanding individual human mobility patterns6,071 cited
2011Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti634 cited
2020Aggregated mobility data could help fight COVID-19402 cited
2020Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis98 cited

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2022COVID-19 effects on urban driving, walking, and transit usage trends: Evidence from Indian metropolitan cities27 cited
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2022

Analysis of the impact of non-compulsory measures on human mobility in Japan during the COVID-19 pandemic

17 cited

2022An online advertising intervention to increase adherence to stay-at-home-orders during the COVID-19 pandemic: An efficacy trial monitoring individual-level mobility data12 cited

2022Potential fields and fluctuation-dissipation relations derived from human flow in urban areas modeled by a network of electric circuits9 cited

2021Universal scaling of human flow remain unchanged during the COVID-19 pandemic9 cited

2022Mobility in informal settlements during a public lockdown: A case study in South Africa8 cited

2023Estimation of mobility and population in Spain during different phases of the COVID-19 pandemic from mobile phone data7 cited

2024Social inequality and the changing patterns of travel in the pandemic and post-pandemic era4 cited

2025How has Aggregated Mobility Data-informed public health research?3 cited