Evidence map›Paper›PMID 38319890›Full record

ArticlePLOS digital health2024

Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic.

Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Maciej Kos, Filippo Privitera, Brennan Lake, Moritz U G Kraemer, John S Brownstein and 6 more

Abstract read
In one paragraph

Article in PLOS digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Heterogeneous changes in mobility in response to the SARS-CoV-2 Omicron BA.2 outbreak in Shanghai.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Article
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

16 authors.

Brennan KleinNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Timothy LaRockNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Stefan McCabeNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Leo TorresNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Lisa FriedlandNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Maciej KosNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Filippo PriviteraCuebiq Inc., New York, New York, United States of America.
Brennan LakeCuebiq Inc., New York, New York, United States of America.
Moritz U G KraemerUniversity of Oxford, Oxford, United Kingdom.
John S BrownsteinBoston Children's Hospital, Boston, Massachusetts, United States of America.
Richard GonzalezUniversity of Michigan, Ann Arbor, Michigan, United States of America.
David LazerNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Tina Eliassi-RadNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Samuel V ScarpinoNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Alessandro VespignaniNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
Matteo ChinazziNetwork Science Institute, Northeastern University, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-5955-1929

Funding

RFA-IP-20-003, FluMod - Center for the Multiscale Modeling of Pandemic and seasonal Flu Prevention and ControlU01IP001137 · IP · NORTHEASTERN UNIVERSITY · PI VESPIGNANI, ALESSANDRO · 2020 to 2024
$3.4M
NCIRD CDC HHS U01 IP001137
6 · The paper itself

Abstract

The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and endogenous (spontaneous reaction to infection risks) origin. Here, we characterize collective physical distancing-mobility reductions, minimization of contacts, shortening of contact duration-in response to the COVID-19 pandemic in the pre-vaccine era by analyzing de-identified, privacy-preserving location data for a panel of over 5.5 million anonymized, opted-in U.S. devices. We define five indicators of users' mobility and proximity to investigate how the emerging collective behavior deviates from typical pre-pandemic patterns during the first nine months of the COVID-19 pandemic. We analyze both the dramatic changes due to the government mandated mitigation policies and the more spontaneous societal adaptation into a new (physically distanced) normal in the fall 2020. Using the indicators here defined we show that: a) during the COVID-19 pandemic, collective physical distancing displayed different phases and was heterogeneous across geographies, b) metropolitan areas displayed stronger reductions in mobility and contacts than rural areas; c) stronger reductions in commuting patterns are observed in geographical areas with a higher share of teleworkable jobs; d) commuting volumes during and after the lockdown period negatively correlate with unemployment rates; and e) increases in contact indicators correlate with future values of new deaths at a lag consistent with epidemiological parameters and surveillance reporting delays. In conclusion, this study demonstrates that the framework and indicators here presented can be used to analyze large-scale social distancing phenomena, paving the way for their use in future pandemics to analyze and monitor the effects of pandemic mitigation plans at the national and international levels.

Identifiers

PMID38319890
PMCPMC10846712

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.