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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.

Amanda C PerofskyChelsea L HansenRoy BursteinShanda BoyleRobin PrenticeCooper MarshallDavid ReinhartBen CapodannoMelissa TruongKristen Schwabe-FryKayla KuchtaBrian PfauZack AckerJover LeeThomas R SibleyEvan McDermotLeslie Rodriguez-SalasJeremy StoneLuis GamboaPeter D HanAmanda AdlerAlpana WaghmareMichael L JacksonMichael FamulareJay ShendureTrevor BedfordHelen Y ChuJanet A EnglundJoshua T SchifferCecile Viboud
Published in: Nature communications (2024)
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.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • coronavirus disease
  • machine learning
  • case control