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{
  "pmid": "38755171",
  "doi": "10.1038/s41467-024-48528-2",
  "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.",
  "journal": "Nature Communications",
  "year": 2024,
  "authors": "Amanda C. Perofsky, C. Hansen, Roy Burstein, Shanda Boyle, Robin Prentice et al.",
  "external_ids": {
    "doi": "10.1038/s41467-024-48528-2",
    "pmid": "38755171"
  },
  "citation_count": 49
}