Evidence map›Paper›PMID 36718419›Full record

ArticlePopulation, space and place2023

Urban exodus? Understanding human mobility in Britain during the COVID-19 pandemic using Meta-Facebook data.

Francisco Rowe, Alessia Calafiore, Daniel Arribas-Bel, Krasen Samardzhiev, Martin Fleischmann

Abstract read
In one paragraph

Article in Population, space and place, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
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  4. A research agenda for GIScience in a time of disruptions.International journal of geographical information science : IJGIS · 2025
    Article
  5. How working from home reshapes cities.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. The "15-Minute City" Concept in the Context of the COVID-19 Pandemic and Climate Change.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Article
  7. Article
  8. Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024
    Article
  9. Article
  10. COVID-19, Cities and Inequality.Applied geography (Sevenoaks, England) · 2023
    Article
  11. Convergence in Mobility Data Sets From Apple, Google, and Meta.JMIR public health and surveillance · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Francisco RoweDepartment of Geography and Planning University of Liverpool Liverpool UK.ORCID 0000-0003-4137-0246
Alessia CalafioreEdinburgh College of Art University of Edinburgh Edinburgh Scotland UK.
Daniel Arribas-BelDepartment of Geography and Planning University of Liverpool Liverpool UK.
Krasen SamardzhievDepartment of Geography and Planning University of Liverpool Liverpool UK.
Martin FleischmannDepartment of Geography and Planning University of Liverpool Liverpool UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing empirical work has focused on assessing the effectiveness of nonpharmaceutical interventions on human mobility to contain the spread of COVID-19. Less is known about the ways in which the COVID-19 pandemic has reshaped the spatial patterns of population movement within countries. Anecdotal evidence of an urban exodus from large cities to rural areas emerged during early phases of the pandemic across western societies. Yet, these claims have not been empirically assessed. Traditional data sources, such as censuses offer coarse temporal frequency to analyse population movement over infrequent time intervals. Drawing on a data set of 21 million observations from Meta-Facebook users, we aim to analyse the extent and evolution of changes in the spatial patterns of population movement across the rural-urban continuum in Britain over an 18-month period from March 2020 to August 2021. Our findings show an overall and sustained decline in population movement during periods of high stringency measures, with the most densely populated areas reporting the largest reductions. During these periods, we also find evidence of higher-than-average mobility from high-density population areas to low-density areas, lending some support to claims of large-scale population movements from large cities. Yet, we show that these trends were temporary. Overall mobility levels trended back to precoronavirus levels after the easing of nonpharmaceutical interventions. Following these interventions, we found a reduction in movement to low-density areas and a rise in mobility to high-density agglomerations. Overall, these findings reveal that while COVID-19 generated shock waves leading to temporary changes in the patterns of population movement in Britain, the resulting vibrations have not significantly reshaped the prevalent structures in the national pattern of population movement. As of 2021, internal population movements sit at an intermediate level between those observed pre- and early phases of the pandemic.

Indexed as

COVID‐19Great Britainhuman mobilityinternal migrationMeta‐Facebookmobile phone location dataurban exodus

Identifiers

PMID36718419
PMCPMC9877951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.