Evidence map›Paper›PMID 35089794›Full record

ArticleScience advances2022

Epidemiological characteristics of the B.1.526 SARS-CoV-2 variant.

Wan Yang, Sharon K Greene, Eric R Peterson, Wenhui Li, Robert Mathes, Laura Graf, Ramona Lall, Scott Hughes, Jade Wang, Anne Fine

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

10 authors.

Wan YangDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID 0000-0002-7555-9728
Sharon K GreeneBureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.ORCID 0000-0002-3509-2377
Eric R PetersonBureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.ORCID 0000-0002-9265-4524
Wenhui LiBureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York, NY, USA.ORCID 0000-0002-7884-7637
Robert MathesBureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.
Laura GrafBureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.ORCID 0000-0003-4249-4283
Ramona LallBureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.
Scott HughesPublic Health Laboratory, New York City Department of Health and Mental Hygiene, New York, NY, USA.
Jade WangPublic Health Laboratory, New York City Department of Health and Mental Hygiene, New York, NY, USA.ORCID 0000-0002-8855-0925
Anne FineBureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, NY, USA.ORCID 0000-0003-0659-6100

Funding

Disease Persistence and Population Dynamics: Modeling Measles under Mass VaccinationR01AI145883 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YANG, WAN · 2019 to 2024
$2.5M
NIAID NIH HHS R01 AI145883
6 · The paper itself

Abstract

To characterize the epidemiological properties of the B.1.526 SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) variant of interest, here we used nine epidemiological and population datasets and model-inference methods to reconstruct SARS-CoV-2 transmission dynamics in New York City, where B.1.526 emerged. We estimated that B.1.526 had a moderate increase (15 to 25%) in transmissibility, could escape immunity in 0 to 10% of previously infected individuals, and substantially increased the infection fatality risk (IFR) among adults 65 or older by >60% during November 2020 to April 2021, compared to estimates for preexisting variants. Overall, findings suggest that new variants like B.1.526 likely spread in the population weeks before detection and that partial immune escape (e.g., resistance to therapeutic antibodies) could offset prior medical advances and increase IFR. Early preparedness for and close monitoring of SARS-CoV-2 variants, their epidemiological characteristics, and disease severity are thus crucial to COVID-19 (coronavirus disease 2019) response.

Identifiers

PMID35089794
PMCPMC8797779

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.