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Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre- and post-COVID-19 pandemic years

Author

Listed:
  • Amanda C. Perofsky

    (University of Washington
    National Institutes of Health)

  • Chelsea L. Hansen

    (University of Washington
    National Institutes of Health
    Roskilde University)

  • Roy Burstein

    (Bill & Melinda Gates Foundation)

  • Shanda Boyle

    (University of Washington)

  • Robin Prentice

    (University of Washington)

  • Cooper Marshall

    (University of Washington)

  • David Reinhart

    (University of Washington)

  • Ben Capodanno

    (University of Washington)

  • Melissa Truong

    (University of Washington)

  • Kristen Schwabe-Fry

    (University of Washington)

  • Kayla Kuchta

    (University of Washington)

  • Brian Pfau

    (University of Washington)

  • Zack Acker

    (University of Washington)

  • Jover Lee

    (Fred Hutchinson Cancer Center)

  • Thomas R. Sibley

    (Fred Hutchinson Cancer Center)

  • Evan McDermot

    (University of Washington)

  • Leslie Rodriguez-Salas

    (University of Washington)

  • Jeremy Stone

    (University of Washington)

  • Luis Gamboa

    (University of Washington)

  • Peter D. Han

    (University of Washington
    University of Washington)

  • Amanda Adler

    (Seattle Children’s Research Institute)

  • Alpana Waghmare

    (Fred Hutchinson Cancer Center
    Seattle Children’s Research Institute
    University of Washington)

  • Michael L. Jackson

    (EpiAssist LLC)

  • Michael Famulare

    (Bill & Melinda Gates Foundation)

  • Jay Shendure

    (University of Washington
    University of Washington
    Howard Hughes Medical Institute)

  • Trevor Bedford

    (University of Washington
    Fred Hutchinson Cancer Center
    University of Washington
    Howard Hughes Medical Institute)

  • Helen Y. Chu

    (University of Washington)

  • Janet A. Englund

    (University of Washington
    Seattle Children’s Research Institute
    University of Washington)

  • Lea M. Starita

    (University of Washington
    University of Washington)

  • Cécile Viboud

    (National Institutes of Health)

Abstract

Many studies have used mobile device location data to model SARS-CoV-2 dynamics, yet relationships between mobility behavior and endemic respiratory pathogens are less understood. We studied the effects of population mobility on the transmission of 17 endemic viruses and SARS-CoV-2 in Seattle over a 4-year period, 2018-2022. Before 2020, visits to schools and daycares, within-city mixing, and visitor inflow preceded or coincided with seasonal outbreaks of endemic viruses. Pathogen circulation dropped substantially after the initiation of COVID-19 stay-at-home orders in March 2020. During this period, mobility was a positive, leading indicator of transmission of all endemic viruses and lagging and negatively correlated with SARS-CoV-2 activity. Mobility was briefly predictive of SARS-CoV-2 transmission when restrictions relaxed but associations weakened in subsequent waves. The rebound of endemic viruses was heterogeneously timed but exhibited stronger, longer-lasting relationships with mobility than SARS-CoV-2. Overall, mobility is most predictive of respiratory virus transmission during periods of dramatic behavioral change and at the beginning of epidemic waves.

Suggested Citation

  • Amanda C. Perofsky & Chelsea L. Hansen & Roy Burstein & Shanda Boyle & Robin Prentice & Cooper Marshall & David Reinhart & Ben Capodanno & Melissa Truong & Kristen Schwabe-Fry & Kayla Kuchta & Brian P, 2024. "Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre- and post-COVID-19 pandemic years," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48528-2
    DOI: 10.1038/s41467-024-48528-2
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    1. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    2. Trevor Bedford & Steven Riley & Ian G. Barr & Shobha Broor & Mandeep Chadha & Nancy J. Cox & Rodney S. Daniels & C. Palani Gunasekaran & Aeron C. Hurt & Anne Kelso & Alexander Klimov & Nicola S. Lewis, 2015. "Global circulation patterns of seasonal influenza viruses vary with antigenic drift," Nature, Nature, vol. 523(7559), pages 217-220, July.
    3. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    4. Kyra H. Grantz & Hannah R. Meredith & Derek A. T. Cummings & C. Jessica E. Metcalf & Bryan T. Grenfell & John R. Giles & Shruti Mehta & Sunil Solomon & Alain Labrique & Nishant Kishore & Caroline O. B, 2020. "The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    5. Katelyn M Gostic & Lauren McGough & Edward B Baskerville & Sam Abbott & Keya Joshi & Christine Tedijanto & Rebecca Kahn & Rene Niehus & James A Hay & Pablo M De Salazar & Joel Hellewell & Sophie Meaki, 2020. "Practical considerations for measuring the effective reproductive number, Rt," PLOS Computational Biology, Public Library of Science, vol. 16(12), pages 1-21, December.
    6. Frederik Plesner Lyngse & Laust Hvas Mortensen & Matthew J. Denwood & Lasse Engbo Christiansen & Camilla Holten Møller & Robert Leo Skov & Katja Spiess & Anders Fomsgaard & Ria Lassaunière & Morten Ra, 2022. "Household transmission of the SARS-CoV-2 Omicron variant in Denmark," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    7. Simon Cauchemez & Alain-Jacques Valleron & Pierre-Yves Boëlle & Antoine Flahault & Neil M. Ferguson, 2008. "Estimating the impact of school closure on influenza transmission from Sentinel data," Nature, Nature, vol. 452(7188), pages 750-754, April.
    8. John-Sebastian Eden & Chisha Sikazwe & Ruopeng Xie & Yi-Mo Deng & Sheena G. Sullivan & Alice Michie & Avram Levy & Elena Cutmore & Christopher C. Blyth & Philip N. Britton & Nigel Crawford & Xiaomin D, 2022. "Off-season RSV epidemics in Australia after easing of COVID-19 restrictions," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
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