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Reduction in mobility and COVID-19 transmission

Author

Listed:
  • Pierre Nouvellet

    (Imperial College London, St Mary’s Campus
    University of Sussex)

  • Sangeeta Bhatia

    (Imperial College London, St Mary’s Campus)

  • Anne Cori

    (Imperial College London, St Mary’s Campus)

  • Kylie E. C. Ainslie

    (Imperial College London, St Mary’s Campus)

  • Marc Baguelin

    (Imperial College London, St Mary’s Campus)

  • Samir Bhatt

    (Imperial College London, St Mary’s Campus)

  • Adhiratha Boonyasiri

    (Imperial College London, St Mary’s Campus)

  • Nicholas F. Brazeau

    (Imperial College London, St Mary’s Campus)

  • Lorenzo Cattarino

    (Imperial College London, St Mary’s Campus)

  • Laura V. Cooper

    (Imperial College London, St Mary’s Campus)

  • Helen Coupland

    (Imperial College London, St Mary’s Campus)

  • Zulma M. Cucunuba

    (Imperial College London, St Mary’s Campus)

  • Gina Cuomo-Dannenburg

    (Imperial College London, St Mary’s Campus)

  • Amy Dighe

    (Imperial College London, St Mary’s Campus)

  • Bimandra A. Djaafara

    (Imperial College London, St Mary’s Campus)

  • Ilaria Dorigatti

    (Imperial College London, St Mary’s Campus)

  • Oliver D. Eales

    (Imperial College London, St Mary’s Campus)

  • Sabine L. Elsland

    (Imperial College London, St Mary’s Campus)

  • Fabricia F. Nascimento

    (Imperial College London, St Mary’s Campus)

  • Richard G. FitzJohn

    (Imperial College London, St Mary’s Campus)

  • Katy A. M. Gaythorpe

    (Imperial College London, St Mary’s Campus)

  • Lily Geidelberg

    (Imperial College London, St Mary’s Campus)

  • William D. Green

    (Imperial College London, St Mary’s Campus)

  • Arran Hamlet

    (Imperial College London, St Mary’s Campus)

  • Katharina Hauck

    (Imperial College London, St Mary’s Campus)

  • Wes Hinsley

    (Imperial College London, St Mary’s Campus)

  • Natsuko Imai

    (Imperial College London, St Mary’s Campus)

  • Benjamin Jeffrey

    (Imperial College London, St Mary’s Campus)

  • Edward Knock

    (Imperial College London, St Mary’s Campus)

  • Daniel J. Laydon

    (Imperial College London, St Mary’s Campus)

  • John A. Lees

    (Imperial College London, St Mary’s Campus)

  • Tara Mangal

    (Imperial College London, St Mary’s Campus)

  • Thomas A. Mellan

    (Imperial College London, St Mary’s Campus)

  • Gemma Nedjati-Gilani

    (Imperial College London, St Mary’s Campus)

  • Kris V. Parag

    (Imperial College London, St Mary’s Campus)

  • Margarita Pons-Salort

    (Imperial College London, St Mary’s Campus)

  • Manon Ragonnet-Cronin

    (Imperial College London, St Mary’s Campus)

  • Steven Riley

    (Imperial College London, St Mary’s Campus)

  • H. Juliette T. Unwin

    (Imperial College London, St Mary’s Campus)

  • Robert Verity

    (Imperial College London, St Mary’s Campus)

  • Michaela A. C. Vollmer

    (Imperial College London, St Mary’s Campus)

  • Erik Volz

    (Imperial College London, St Mary’s Campus)

  • Patrick G. T. Walker

    (Imperial College London, St Mary’s Campus)

  • Caroline E. Walters

    (Imperial College London, St Mary’s Campus)

  • Haowei Wang

    (Imperial College London, St Mary’s Campus)

  • Oliver J. Watson

    (Imperial College London, St Mary’s Campus)

  • Charles Whittaker

    (Imperial College London, St Mary’s Campus)

  • Lilith K. Whittles

    (Imperial College London, St Mary’s Campus)

  • Xiaoyue Xi

    (Imperial College London, St Mary’s Campus)

  • Neil M. Ferguson

    (Imperial College London, St Mary’s Campus)

  • Christl A. Donnelly

    (Imperial College London, St Mary’s Campus
    University of Oxford)

Abstract

In response to the COVID-19 pandemic, countries have sought to control SARS-CoV-2 transmission by restricting population movement through social distancing interventions, thus reducing the number of contacts. Mobility data represent an important proxy measure of social distancing, and here, we characterise the relationship between transmission and mobility for 52 countries around the world. Transmission significantly decreased with the initial reduction in mobility in 73% of the countries analysed, but we found evidence of decoupling of transmission and mobility following the relaxation of strict control measures for 80% of countries. For the majority of countries, mobility explained a substantial proportion of the variation in transmissibility (median adjusted R-squared: 48%, interquartile range - IQR - across countries [27–77%]). Where a change in the relationship occurred, predictive ability decreased after the relaxation; from a median adjusted R-squared of 74% (IQR across countries [49–91%]) pre-relaxation, to a median adjusted R-squared of 30% (IQR across countries [12–48%]) post-relaxation. In countries with a clear relationship between mobility and transmission both before and after strict control measures were relaxed, mobility was associated with lower transmission rates after control measures were relaxed indicating that the beneficial effects of ongoing social distancing behaviours were substantial.

Suggested Citation

  • Pierre Nouvellet & Sangeeta Bhatia & Anne Cori & Kylie E. C. Ainslie & Marc Baguelin & Samir Bhatt & Adhiratha Boonyasiri & Nicholas F. Brazeau & Lorenzo Cattarino & Laura V. Cooper & Helen Coupland &, 2021. "Reduction in mobility and COVID-19 transmission," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21358-2
    DOI: 10.1038/s41467-021-21358-2
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    Cited by:

    1. Sutanuka Roy & Sudhir Gupta & Rabee Tourky, 2023. "The Impact of Long–Term Orientation Traits on Pandemic Fatigue Behavior: Evidence from the Columbian Exchange," Journal of Economic Growth, Springer, vol. 28(3), pages 397-438, September.
    2. Carlos Díaz & Sebastian Fossati & Nicolás Trajtenberg, 2022. "Stay at home if you can: COVID‐19 stay‐at‐home guidelines and local crime," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(4), pages 1067-1113, December.
    3. Lorenzo Amir Nemati Fard & Michele Starnini & Michele Tizzoni, 2023. "Modeling adaptive forward-looking behavior in epidemics on networks," Papers 2301.04947, arXiv.org.
    4. Moghari, Somaye & Ghorani, Maryam, 2022. "A symbiosis between cellular automata and dynamic weighted multigraph with application on virus spread modeling," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    5. Jiang, Yangyang & Wen, Jun & Zheng, Danni & Phau, Ian & Wang, Wei, 2022. "Pandemic prevention via tourism: A conceptual framework," Annals of Tourism Research, Elsevier, vol. 96(C).
    6. Haque, Md Tabish & Hamid, Faiz, 2022. "An optimization model to assign seats in long distance trains to minimize SARS-CoV-2 diffusion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 104-120.
    7. Burcu Ozgun & Tom Broekel, 2024. "Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour," Regional Studies, Taylor & Francis Journals, vol. 58(2), pages 365-380, February.
    8. Emma E. Goldberg & Qianying Lin & Ethan O. Romero-Severson & Ruian Ke, 2023. "Swift and extensive Omicron outbreak in China after sudden exit from ‘zero-COVID’ policy," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    9. Jumadi Jumadi & Fikriyah Vidya N. & Hadibasyir Hamim Zaky & Priyono Kuswaji Dwi & Musiyam Muhammad & Mardiah Andri N. R. & Rohman Arif & Hasyim Hamzah & Ibrahim Mohd. Hairy, 2022. "A Year of Spatio-Temporal Clusters of COVID-19 in Indonesia," Quaestiones Geographicae, Sciendo, vol. 41(2), pages 139-151, June.
    10. Carroll, Rachel & Prentice, Christopher R., 2021. "Community vulnerability and mobility: What matters most in spatio-temporal modeling of the COVID-19 pandemic?," Social Science & Medicine, Elsevier, vol. 287(C).
    11. Li, Meng-Hao & Haynes, Kingsley & Kulkarni, Rajendra & Siddique, Abu Bakkar, 2022. "Determinants of voluntary compliance: COVID-19 mitigation," Social Science & Medicine, Elsevier, vol. 310(C).
    12. Masahiko Haraguchi & Akihiko Nishino & Akira Kodaka & Maura Allaire & Upmanu Lall & Liao Kuei-Hsien & Kaya Onda & Kota Tsubouchi & Naohiko Kohtake, 2022. "Human mobility data and analysis for urban resilience: A systematic review," Environment and Planning B, , vol. 49(5), pages 1507-1535, June.
    13. Cooper, Daniel & Garga, Vaishali & Luengo-Prado, María José & Tang, Jenny, 2023. "The mitigating effect of masks on the spread of Covid-19," Economics & Human Biology, Elsevier, vol. 48(C).
    14. Jisung Yoon & Woo-Sung Jung & Hyunuk Kim, 2022. "COVID-19 confines recreational gatherings in Seoul to familiar, less crowded, and neighboring urban areas," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    15. Margarete Redlin, 2022. "Differences in NPI strategies against COVID-19," Journal of Regulatory Economics, Springer, vol. 62(1), pages 1-23, December.
    16. Bo Huang & Zhihui Huang & Chen Chen & Jian Lin & Tony Tam & Yingyi Hong & Sen Pei, 2022. "Social vulnerability amplifies the disparate impact of mobility on COVID-19 transmissibility across the United States," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    17. Liu, Shasha & Yamamoto, Toshiyuki, 2022. "Role of stay-at-home requests and travel restrictions in preventing the spread of COVID-19 in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 1-16.
    18. Meng, Xin & Guo, Mingxue & Gao, Ziyou & Yang, Zhenzhen & Yuan, Zhilu & Kang, Liujiang, 2022. "The effects of Wuhan highway lockdown measures on the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 117(C), pages 169-180.

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