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Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county

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 da...

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Autores principales: Paredes, Miguel I., Perofsky, Amanda C., Frisbie, Lauren, Moncla, Louise H., Roychoudhury, Pavitra, Xie, Hong, Mohamed Bakhash, Shah A., 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774227/
https://www.ncbi.nlm.nih.gov/pubmed/36561171
http://dx.doi.org/10.1101/2022.12.15.22283536
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author Paredes, Miguel I.
Perofsky, Amanda C.
Frisbie, Lauren
Moncla, Louise H.
Roychoudhury, Pavitra
Xie, Hong
Mohamed Bakhash, Shah A.
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
author_facet Paredes, Miguel I.
Perofsky, Amanda C.
Frisbie, Lauren
Moncla, Louise H.
Roychoudhury, Pavitra
Xie, Hong
Mohamed Bakhash, Shah A.
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
author_sort Paredes, Miguel I.
collection PubMed
description 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.
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spelling pubmed-97742272022-12-23 Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county Paredes, Miguel I. Perofsky, Amanda C. Frisbie, Lauren Moncla, Louise H. Roychoudhury, Pavitra Xie, Hong Mohamed Bakhash, Shah A. 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 medRxiv Article 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. Cold Spring Harbor Laboratory 2022-12-16 /pmc/articles/PMC9774227/ /pubmed/36561171 http://dx.doi.org/10.1101/2022.12.15.22283536 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Paredes, Miguel I.
Perofsky, Amanda C.
Frisbie, Lauren
Moncla, Louise H.
Roychoudhury, Pavitra
Xie, Hong
Mohamed Bakhash, Shah A.
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
Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county
title Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county
title_full Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county
title_fullStr Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county
title_full_unstemmed Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county
title_short Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county
title_sort local-scale phylodynamics reveal differential community impact of sars-cov-2 in metropolitan us county
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774227/
https://www.ncbi.nlm.nih.gov/pubmed/36561171
http://dx.doi.org/10.1101/2022.12.15.22283536
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