Evidence map›Paper›PMID 38900824›Full record

ArticlePLoS pathogens2024

The role of socio-economic disparities in the relative success and persistence of SARS-CoV-2 variants in New York City in early 2021.

Tetyana I Vasylyeva, Jennifer L Havens, Jade C Wang, Elizabeth Luoma, Gabriel W Hassler, Helly Amin, Steve Di Lonardo, Faten Taki, Enoma Omoregie, Scott Hughes and 1 more

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Tetyana I VasylyevaDepartment of Population Health and Disease Prevention, University of California Irvine, Irvine, California, United States of America.ORCID 0000-0002-9736-7022
Jennifer L HavensBioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California, United States of America.
Jade C WangNew York City Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.
Elizabeth LuomaBureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.
Gabriel W HasslerDepartment of Computational Medicine, University of California Los Angeles, Los Angeles, California, United States of America.
Helly AminNew York City Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.
Steve Di LonardoNew York City Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.
Faten TakiNew York City Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.
Enoma OmoregieNew York City Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.
Scott HughesNew York City Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, New York, United States of America.
Joel O WertheimDepartment of Medicine, University of California San Diego, La Jolla, California, United States of America.

Funding

Scalable Inference in Statistical Models of Viral Evolution and Human HealthF31AI154824 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HASSLER, GABRIEL WILLIAM · 2021 to 2022
$64k
NIAID NIH HHS F31 AI154824
6 · The paper itself

Abstract

Socio-economic disparities were associated with disproportionate viral incidence between neighborhoods of New York City (NYC) during the first wave of SARS-CoV-2. We investigated how these disparities affected the co-circulation of SARS-CoV-2 variants during the second wave in NYC. We tested for correlation between the prevalence, in late 2020/early 2021, of Alpha, Iota, Iota with E484K mutation (Iota-E484K), and B.1-like genomes and pre-existing immunity (seropositivity) in NYC neighborhoods. In the context of varying seroprevalence we described socio-economic profiles of neighborhoods and performed migration and lineage persistence analyses using a Bayesian phylogeographical framework. Seropositivity was greater in areas with high poverty and a larger proportion of Black and Hispanic or Latino residents. Seropositivity was positively correlated with the proportion of Iota-E484K and Iota genomes, and negatively correlated with the proportion of Alpha and B.1-like genomes. The proportion of persisting Alpha lineages declined over time in locations with high seroprevalence, whereas the proportion of persisting Iota-E484K lineages remained the same in high seroprevalence areas. During the second wave, the geographic variation of standing immunity, due to disproportionate disease burden during the first wave of SARS-CoV-2 in NYC, allowed for the immune evasive Iota-E484K variant, but not the more transmissible Alpha variant, to circulate in locations with high pre-existing immunity.

Indexed as

COVID-19SARS-CoV-2AdultFemaleHumansMaleMiddle AgedMutationNew York CitySeroepidemiologic StudiesSocioeconomic Factors

Identifiers

PMID38900824
PMCPMC11218943

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.