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Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic.
Klein, Brennan; LaRock, Timothy; McCabe, Stefan; Torres, Leo; Friedland, Lisa; Kos, Maciej; Privitera, Filippo; Lake, Brennan; Kraemer, Moritz U G; Brownstein, John S; Gonzalez, Richard; Lazer, David; Eliassi-Rad, Tina; Scarpino, Samuel V; Vespignani, Alessandro; Chinazzi, Matteo.
Affiliation
  • Klein B; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • LaRock T; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • McCabe S; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • Torres L; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • Friedland L; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • Kos M; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • Privitera F; Cuebiq Inc., New York, New York, United States of America.
  • Lake B; Cuebiq Inc., New York, New York, United States of America.
  • Kraemer MUG; University of Oxford, Oxford, United Kingdom.
  • Brownstein JS; Boston Children's Hospital, Boston, Massachusetts, United States of America.
  • Gonzalez R; Harvard Medical School, Boston, Massachusetts, United States of America.
  • Lazer D; University of Michigan, Ann Arbor, Michigan, United States of America.
  • Eliassi-Rad T; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • Scarpino SV; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • Vespignani A; Network Science Institute, Northeastern University, Boston, Massachusetts, United States of America.
  • Chinazzi M; Vermont Complex Systems Center, University of Vermont, Burlington, Vermont, United States of America.
PLOS Digit Health ; 3(2): e0000430, 2024 Feb.
Article in En | MEDLINE | ID: mdl-38319890
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: PLOS Digit Health / PLOS digital health Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: PLOS Digit Health / PLOS digital health Year: 2024 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos