Evidence map›Paper›PMID 37071654›Full record

ArticlePLoS pathogens2023

Variant-specific introduction and dispersal dynamics of SARS-CoV-2 in New York City - from Alpha to Omicron.

Simon Dellicour, Samuel L Hong, Verity Hill, Dacia Dimartino, Christian Marier, Paul Zappile, Gordon W Harkins, Philippe Lemey, Guy Baele, Ralf Duerr and 1 more

Abstract read
In one paragraph

Article in PLoS pathogens, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
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  5. 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
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Simon DellicourSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.ORCID 0000-0001-9558-1052
Samuel L HongDepartment of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.
Verity HillDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
Dacia DimartinoGenome Technology Center, Office for Science and Research, NYU Langone Health, New York, New York, United States of America.
Christian MarierGenome Technology Center, Office for Science and Research, NYU Langone Health, New York, New York, United States of America.
Paul ZappileGenome Technology Center, Office for Science and Research, NYU Langone Health, New York, New York, United States of America.
Gordon W HarkinsSouth African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.
Guy BaeleDepartment of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.
Ralf DuerrDepartment of Microbiology, NYU Grossman School of Medicine, New York, New York, United States of America.
Adriana HeguyGenome Technology Center, Office for Science and Research, NYU Langone Health, New York, New York, United States of America.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
Statistical Innovation to Integrate Sequences and Phenotypes for Scalable Phylodynamic InferenceR01AI153044 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Marc A. Suchard · 2021 to 2026
$2.4M
Characterizing intact proviral HIV-1 reservoir size and determinants of reservoir dynamics in African populationsU01AI152151 · NIAID · UNIVERSITY OF CAPE TOWN · PI ABRAHAMS, MELISSA-ROSE · 2020 to 2024
$914k
NCI NIH HHS P30 CA016087NIAID NIH HHS R01 AI153044NIAID NIH HHS U01 AI152151Wellcome TrustWellcome Trust 206298/Z/17/Z
6 · The paper itself

Abstract

Since the latter part of 2020, SARS-CoV-2 evolution has been characterised by the emergence of viral variants associated with distinct biological characteristics. While the main research focus has centred on the ability of new variants to increase in frequency and impact the effective reproductive number of the virus, less attention has been placed on their relative ability to establish transmission chains and to spread through a geographic area. Here, we describe a phylogeographic approach to estimate and compare the introduction and dispersal dynamics of the main SARS-CoV-2 variants - Alpha, Iota, Delta, and Omicron - that circulated in the New York City area between 2020 and 2022. Notably, our results indicate that Delta had a lower ability to establish sustained transmission chains in the NYC area and that Omicron (BA.1) was the variant fastest to disseminate across the study area. The analytical approach presented here complements non-spatially-explicit analytical approaches that seek a better understanding of the epidemiological differences that exist among successive SARS-CoV-2 variants of concern.

Indexed as

COVID-19HumansNew York CitySARS-CoV-2

Identifiers

PMID37071654
PMCPMC10180688

What OpenQuestion holds

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Registered trials

None linked

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.