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Local-scale phylodynamics reveal differential community impact of SARS-CoV-2 in a metropolitan US county.
Paredes, Miguel I; Perofsky, Amanda C; Frisbie, Lauren; Moncla, Louise H; Roychoudhury, Pavitra; Xie, Hong; Bakhash, Shah A Mohamed; Kong, Kevin; Arnould, Isabel; Nguyen, Tien V; Wendm, Seffir T; Hajian, Pooneh; Ellis, Sean; Mathias, Patrick C; Greninger, Alexander L; Starita, Lea M; Frazar, Chris D; Ryke, Erica; Zhong, Weizhi; Gamboa, Luis; Threlkeld, Machiko; Lee, Jover; Stone, Jeremy; McDermot, Evan; Truong, Melissa; Shendure, Jay; Oltean, Hanna N; Viboud, Cécile; Chu, Helen; Müller, Nicola F; Bedford, Trevor.
Afiliación
  • Paredes MI; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
  • Perofsky AC; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
  • Frisbie L; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
  • Moncla LH; Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Roychoudhury P; Washington State Department of Health, Shoreline, Washington, United States of America.
  • Xie H; The University of Pennsylvania, Department of Pathobiology, Philadelphia, Pennsylvania, United States of America.
  • Bakhash SAM; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
  • Kong K; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Arnould I; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Nguyen TV; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Wendm ST; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Hajian P; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Ellis S; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Mathias PC; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Greninger AL; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Starita LM; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Frazar CD; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Ryke E; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
  • Zhong W; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
  • Gamboa L; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
  • Threlkeld M; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Lee J; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Stone J; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • McDermot E; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
  • Truong M; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
  • Shendure J; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Oltean HN; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
  • Viboud C; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
  • Chu H; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
  • Müller NF; Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
  • Bedford T; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
PLoS Pathog ; 20(3): e1012117, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38530853
ABSTRACT
SARS-CoV-2 transmission is largely driven by heterogeneous dynamics at a local scale, leaving local health departments to design interventions with limited information. We analyzed SARS-CoV-2 genomes sampled between February 2020 and March 2022 jointly with epidemiological and cell phone mobility data to investigate fine scale spatiotemporal SARS-CoV-2 transmission dynamics in King County, Washington, a diverse, metropolitan US county. We applied an approximate structured coalescent approach to model transmission within and between North King County and South King County alongside the rate of outside introductions into the county. Our phylodynamic analyses reveal that following stay-at-home orders, the epidemic trajectories of North and South King County began to diverge. We find that South King County consistently had more reported and estimated cases, COVID-19 hospitalizations, and longer persistence of local viral transmission when compared to North King County, where viral importations from outside drove a larger proportion of new cases. Using mobility and demographic data, we also find that South King County experienced a more modest and less sustained reduction in mobility following stay-at-home orders than North King County, while also bearing more socioeconomic inequities that might contribute to a disproportionate burden of SARS-CoV-2 transmission. Overall, our findings suggest a role for local-scale phylodynamics in understanding the heterogeneous transmission landscape.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epidemias / COVID-19 Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: PLoS Pathog Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epidemias / COVID-19 Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: PLoS Pathog Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos