Human mobility impacts the transmission of common respiratory viruses: A modeling study of the Seattle metropolitan area
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 impacts of human mobility on the transmission of SARS-CoV-2 and 16 endemic viruses in Seattle over a 4-year period, 2018-2022. Before 2020, school-related foot traffic and large-scale population movements preceded seasonal outbreaks of endemic viruses. Pathogen circulation dropped substantially after the initiation of stay-at-home orders in March 2020. During this period, mobility was a positive, leading indicator of transmission of all endemic viruses and lagged SARS-CoV-2 activity. Mobility was briefly predictive of SARS-CoV-2 transmission when restrictions relaxed in summer 2020 but associations weakened in subsequent waves. The rebound of endemic viruses was heterogeneously timed but exhibited stronger relationships with mobility than SARS-CoV-2. Mobility is most predictive of respiratory virus transmission during periods of dramatic behavioral change, and, to a lesser extent, at the beginning of epidemic waves.Teaser:Human mobility patterns predict the transmission dynamics of common respiratory viruses in pre- and post-pandemic years..
Medienart: |
Preprint |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
bioRxiv.org - (2023) vom: 04. Nov. Zur Gesamtaufnahme - year:2023 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
Perofsky, Amanda C. [VerfasserIn] |
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Links: |
Volltext [kostenfrei] |
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Themen: |
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doi: |
10.1101/2023.10.31.23297868 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
XBI041400364 |
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520 | |a 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 impacts of human mobility on the transmission of SARS-CoV-2 and 16 endemic viruses in Seattle over a 4-year period, 2018-2022. Before 2020, school-related foot traffic and large-scale population movements preceded seasonal outbreaks of endemic viruses. Pathogen circulation dropped substantially after the initiation of stay-at-home orders in March 2020. During this period, mobility was a positive, leading indicator of transmission of all endemic viruses and lagged SARS-CoV-2 activity. Mobility was briefly predictive of SARS-CoV-2 transmission when restrictions relaxed in summer 2020 but associations weakened in subsequent waves. The rebound of endemic viruses was heterogeneously timed but exhibited stronger relationships with mobility than SARS-CoV-2. Mobility is most predictive of respiratory virus transmission during periods of dramatic behavioral change, and, to a lesser extent, at the beginning of epidemic waves.Teaser:Human mobility patterns predict the transmission dynamics of common respiratory viruses in pre- and post-pandemic years. | ||
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700 | 1 | |a Reinhart, David |4 aut | |
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700 | 1 | |a Truong, Melissa |4 aut | |
700 | 1 | |a Schwabe-Fry, Kristen |4 aut | |
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700 | 1 | |a Lee, Jover |4 aut | |
700 | 1 | |a Sibley, Thomas R. |4 aut | |
700 | 1 | |a McDermot, Evan |4 aut | |
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700 | 1 | |a Englund, Janet A. |4 aut | |
700 | 1 | |a Starita, Lea M. |4 aut | |
700 | 1 | |a Viboud, Cécile |4 aut | |
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