Evidence map›Paper›PMID 38530853›Full record

ArticlePLoS pathogens2024

Local-scale phylodynamics reveal differential community impact of SARS-CoV-2 in a metropolitan US county.

Miguel I Paredes, Amanda C Perofsky, Lauren Frisbie, Louise H Moncla, Pavitra Roychoudhury, Hong Xie, Shah A Mohamed Bakhash, Kevin Kong, Isabel Arnould, Tien V Nguyen and 21 more

Abstract read
In one paragraph

Article in PLoS pathogens, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Tracing SARS-CoV-2 clusters across local scales using genomic data.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Phylodynamics Uncovers the Transmission of Antibiotic-ResistantbioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Miguel I ParedesDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-9712-1663
Amanda C PerofskyBrotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
Lauren FrisbieWashington State Department of Health, Shoreline, Washington, United States of America.
Louise H MonclaThe University of Pennsylvania, Department of Pathobiology, Philadelphia, Pennsylvania, United States of America.
Pavitra RoychoudhuryVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Hong XieDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Shah A Mohamed BakhashDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Kevin KongDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Isabel ArnouldDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Tien V NguyenDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Seffir T WendmDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Pooneh HajianDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Sean EllisDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Patrick C MathiasDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, United States of America.
Alexander L GreningerVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Lea M StaritaBrotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
Chris D FrazarDepartment of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
Erica RykeDepartment of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
Weizhi ZhongBrotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
Luis GamboaBrotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
Machiko ThrelkeldDepartment of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
Jover LeeVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Jeremy StoneBrotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
Evan McDermotBrotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
Melissa TruongDepartment of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
Jay ShendureBrotman Baty Institute for Precision Medicine, University of Washington, Seattle, Washington, United States of America.
Hanna N OlteanWashington State Department of Health, Shoreline, Washington, United States of America.
Cécile ViboudFogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America.
Helen ChuDepartment of Medicine, Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, United States of America.
Nicola F MüllerVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Trevor BedfordDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.

Funding

Real-time tracking of virus evolution for vaccine strain selection and epidemiological investigationR35GM119774 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2016 to 2025
$4.1M
Quantifying the genetic and environmental factors driving avian influenza spilloverR00AI147029 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI MONCLA, LOUISE HILLIER · 2022 to 2023
$498k
NIAID NIH HHS R00 AI147029NIGMS NIH HHS R35 GM119774
6 · The paper itself

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.

Indexed as

COVID-19EpidemicsHumansSARS-CoV-2Washington

Identifiers

PMID38530853
PMCPMC10997136

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.