Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: Insights from Spring 2020.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 27 01 2021
accepted: 28 05 2021
entrez: 30 6 2021
pubmed: 1 7 2021
medline: 9 7 2021
Statut: epublish

Résumé

Social distancing have been widely used to mitigate community spread of SARS-CoV-2. We sought to quantify the impact of COVID-19 social distancing policies across 27 European counties in spring 2020 on population mobility and the subsequent trajectory of disease. We obtained data on national social distancing policies from the Oxford COVID-19 Government Response Tracker and aggregated and anonymized mobility data from Google. We used a pre-post comparison and two linear mixed-effects models to first assess the relationship between implementation of national policies and observed changes in mobility, and then to assess the relationship between changes in mobility and rates of COVID-19 infections in subsequent weeks. Compared to a pre-COVID baseline, Spain saw the largest decrease in aggregate population mobility (~70%), as measured by the time spent away from residence, while Sweden saw the smallest decrease (~20%). The largest declines in mobility were associated with mandatory stay-at-home orders, followed by mandatory workplace closures, school closures, and non-mandatory workplace closures. While mandatory shelter-in-place orders were associated with 16.7% less mobility (95% CI: -23.7% to -9.7%), non-mandatory orders were only associated with an 8.4% decrease (95% CI: -14.9% to -1.8%). Large-gathering bans were associated with the smallest change in mobility compared with other policy types. Changes in mobility were in turn associated with changes in COVID-19 case growth. For example, a 10% decrease in time spent away from places of residence was associated with 11.8% (95% CI: 3.8%, 19.1%) fewer new COVID-19 cases. This comprehensive evaluation across Europe suggests that mandatory stay-at-home orders and workplace closures had the largest impacts on population mobility and subsequent COVID-19 cases at the onset of the pandemic. With a better understanding of policies' relative performance, countries can more effectively invest in, and target, early nonpharmacological interventions.

Sections du résumé

BACKGROUND
Social distancing have been widely used to mitigate community spread of SARS-CoV-2. We sought to quantify the impact of COVID-19 social distancing policies across 27 European counties in spring 2020 on population mobility and the subsequent trajectory of disease.
METHODS
We obtained data on national social distancing policies from the Oxford COVID-19 Government Response Tracker and aggregated and anonymized mobility data from Google. We used a pre-post comparison and two linear mixed-effects models to first assess the relationship between implementation of national policies and observed changes in mobility, and then to assess the relationship between changes in mobility and rates of COVID-19 infections in subsequent weeks.
RESULTS
Compared to a pre-COVID baseline, Spain saw the largest decrease in aggregate population mobility (~70%), as measured by the time spent away from residence, while Sweden saw the smallest decrease (~20%). The largest declines in mobility were associated with mandatory stay-at-home orders, followed by mandatory workplace closures, school closures, and non-mandatory workplace closures. While mandatory shelter-in-place orders were associated with 16.7% less mobility (95% CI: -23.7% to -9.7%), non-mandatory orders were only associated with an 8.4% decrease (95% CI: -14.9% to -1.8%). Large-gathering bans were associated with the smallest change in mobility compared with other policy types. Changes in mobility were in turn associated with changes in COVID-19 case growth. For example, a 10% decrease in time spent away from places of residence was associated with 11.8% (95% CI: 3.8%, 19.1%) fewer new COVID-19 cases.
DISCUSSION
This comprehensive evaluation across Europe suggests that mandatory stay-at-home orders and workplace closures had the largest impacts on population mobility and subsequent COVID-19 cases at the onset of the pandemic. With a better understanding of policies' relative performance, countries can more effectively invest in, and target, early nonpharmacological interventions.

Identifiants

pubmed: 34191818
doi: 10.1371/journal.pone.0253071
pii: PONE-D-21-02922
pmc: PMC8244916
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0253071

Déclaration de conflit d'intérêts

The above stated commercial affiliations did not alter adherence to PLOS ONE policies on sharing data and materials.

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Auteurs

Liana R Woskie (LR)

Department of Health Policy, London School of Economics, London, United Kingdom.

Jonathan Hennessy (J)

Google, LLC, Mountain View, CA, United States of America.

Valeria Espinosa (V)

Google, LLC, Mountain View, CA, United States of America.

Thomas C Tsai (TC)

Department of Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America.
Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.

Swapnil Vispute (S)

Google, LLC, Mountain View, CA, United States of America.

Benjamin H Jacobson (BH)

Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.

Ciro Cattuto (C)

University of Turin, Turin, Italy.
ISI Foundation, Turin, Italy.

Laetitia Gauvin (L)

ISI Foundation, Turin, Italy.

Michele Tizzoni (M)

ISI Foundation, Turin, Italy.

Alex Fabrikant (A)

Google, LLC, Mountain View, CA, United States of America.

Krishna Gadepalli (K)

Google, LLC, Mountain View, CA, United States of America.

Adam Boulanger (A)

Google, LLC, Mountain View, CA, United States of America.

Adam Pearce (A)

Google, LLC, Mountain View, CA, United States of America.

Chaitanya Kamath (C)

Google, LLC, Mountain View, CA, United States of America.

Arran Schlosberg (A)

Google, LLC, Mountain View, CA, United States of America.

Charlotte Stanton (C)

Google, LLC, Mountain View, CA, United States of America.

Shailesh Bavadekar (S)

Google, LLC, Mountain View, CA, United States of America.

Matthew Abueg (M)

Google, LLC, Mountain View, CA, United States of America.

Michael Hogue (M)

Google, LLC, Mountain View, CA, United States of America.

Andrew Oplinger (A)

Google, LLC, Mountain View, CA, United States of America.

Katherine Chou (K)

Google, LLC, Mountain View, CA, United States of America.

Greg Corrado (G)

Google, LLC, Mountain View, CA, United States of America.

Tomer Shekel (T)

Google, LLC, Mountain View, CA, United States of America.

Ashish K Jha (AK)

Brown University School of Public Health, Providence, RI, United States of America.

Gregory A Wellenius (GA)

Google, LLC, Mountain View, CA, United States of America.
Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States of America.

Evgeniy Gabrilovich (E)

Google, LLC, Mountain View, CA, United States of America.

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