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Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data

BACKGROUND: Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which resulted in changes to mobility across different regions. An understanding of how these policies impacted travel patterns over time and at different spatial sca...

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Autores principales: Shepherd, Harry E. R., Atherden, Florence S., Chan, Ho Man Theophilus, Loveridge, Alexandra, Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643186/
https://www.ncbi.nlm.nih.gov/pubmed/34863206
http://dx.doi.org/10.1186/s12942-021-00299-5
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author Shepherd, Harry E. R.
Atherden, Florence S.
Chan, Ho Man Theophilus
Loveridge, Alexandra
Tatem, Andrew J.
author_facet Shepherd, Harry E. R.
Atherden, Florence S.
Chan, Ho Man Theophilus
Loveridge, Alexandra
Tatem, Andrew J.
author_sort Shepherd, Harry E. R.
collection PubMed
description BACKGROUND: Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which resulted in changes to mobility across different regions. An understanding of how these policies impacted travel patterns over time and at different spatial scales is important for designing effective strategies, future pandemic planning and in providing broader insights on the population geography of the country. Crowd level data on mobile phone usage can be used as a proxy for population mobility patterns and provide a way of quantifying in near-real time the impact of social distancing measures on changes in mobility. METHODS: Here we explore patterns of change in densities, domestic and international flows and co-location of Facebook users in the UK from March 2020 to March 2021. RESULTS: We find substantial heterogeneities across time and region, with large changes observed compared to pre-pademic patterns. The impacts of periods of lockdown on distances travelled and flow volumes are evident, with each showing variations, but some significant reductions in co-location rates. Clear differences in multiple metrics of mobility are seen in central London compared to the rest of the UK, with each of Scotland, Wales and Northern Ireland showing significant deviations from England at times. Moreover, the impacts of rapid changes in rules on international travel to and from the UK are seen in substantial fluctuations in traveller volumes by destination. CONCLUSIONS: While questions remain about the representativeness of the Facebook data, previous studies have shown strong correspondence with census-based data and alternative mobility measures, suggesting that findings here are valuable for guiding strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12942-021-00299-5.
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spelling pubmed-86431862021-12-06 Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data Shepherd, Harry E. R. Atherden, Florence S. Chan, Ho Man Theophilus Loveridge, Alexandra Tatem, Andrew J. Int J Health Geogr Research BACKGROUND: Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which resulted in changes to mobility across different regions. An understanding of how these policies impacted travel patterns over time and at different spatial scales is important for designing effective strategies, future pandemic planning and in providing broader insights on the population geography of the country. Crowd level data on mobile phone usage can be used as a proxy for population mobility patterns and provide a way of quantifying in near-real time the impact of social distancing measures on changes in mobility. METHODS: Here we explore patterns of change in densities, domestic and international flows and co-location of Facebook users in the UK from March 2020 to March 2021. RESULTS: We find substantial heterogeneities across time and region, with large changes observed compared to pre-pademic patterns. The impacts of periods of lockdown on distances travelled and flow volumes are evident, with each showing variations, but some significant reductions in co-location rates. Clear differences in multiple metrics of mobility are seen in central London compared to the rest of the UK, with each of Scotland, Wales and Northern Ireland showing significant deviations from England at times. Moreover, the impacts of rapid changes in rules on international travel to and from the UK are seen in substantial fluctuations in traveller volumes by destination. CONCLUSIONS: While questions remain about the representativeness of the Facebook data, previous studies have shown strong correspondence with census-based data and alternative mobility measures, suggesting that findings here are valuable for guiding strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12942-021-00299-5. BioMed Central 2021-12-04 /pmc/articles/PMC8643186/ /pubmed/34863206 http://dx.doi.org/10.1186/s12942-021-00299-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shepherd, Harry E. R.
Atherden, Florence S.
Chan, Ho Man Theophilus
Loveridge, Alexandra
Tatem, Andrew J.
Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data
title Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data
title_full Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data
title_fullStr Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data
title_full_unstemmed Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data
title_short Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data
title_sort domestic and international mobility trends in the united kingdom during the covid-19 pandemic: an analysis of facebook data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643186/
https://www.ncbi.nlm.nih.gov/pubmed/34863206
http://dx.doi.org/10.1186/s12942-021-00299-5
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