Bibliographic Details
| Title: |
Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre- and post-COVID-19 pandemic years. |
| Authors: |
Perofsky, Amanda C., Hansen, Chelsea L., Burstein, Roy, Boyle, Shanda, Prentice, Robin, Marshall, Cooper, Reinhart, David, Capodanno, Ben, Truong, Melissa, Schwabe-Fry, Kristen, Kuchta, Kayla, Pfau, Brian, Acker, Zack, Lee, Jover, Sibley, Thomas R., McDermot, Evan, Rodriguez-Salas, Leslie, Stone, Jeremy, Gamboa, Luis, Han, Peter D. |
| Source: |
Nature Communications; 5/16/2024, Vol. 15 Issue 1, p1-17, 17p |
| Subject Terms: |
INFECTIOUS disease transmission, SARS-CoV-2, COVID-19 pandemic, STAY-at-home orders, PANDEMICS |
| Geographic Terms: |
SEATTLE (Wash.) |
| 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. Population mobility is associated with SARS-CoV-2 transmission but its impacts on other respiratory viruses are not well understood. Here, the authors investigate associations between mobile phone-derived mobility metrics and the dynamics of 18 respiratory viruses in Seattle, Washington from 2018 to 2022. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
