Evidence map›Paper›PMID 36962725›Full record

ArticlePLOS global public health2022

Health inequities in SARS-CoV-2 infection, seroprevalence, and COVID-19 vaccination: Results from the East Bay COVID-19 study.

Cameron Adams, Mary Horton, Olivia Solomon, Marcus Wong, Sean L Wu, Sophia Fuller, Xiaorong Shao, Indro Fedrigo, Hong L Quach, Diana L Quach and 15 more

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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

25 authors at 4 institutions in 1 country.

Cameron AdamsSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0003-2525-523X
Mary HortonSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-0854-4219
Olivia SolomonSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0003-1615-3880
Marcus WongSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0001-6554-2976
Sean L WuInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-5781-9493
Sophia FullerSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0001-5682-615X
Xiaorong ShaoSchool of Public Health, University of California, Berkeley, California, United States of America.
Indro FedrigoSchool of Public Health, University of California, Berkeley, California, United States of America.
Hong L QuachSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0003-0459-1971
Diana L QuachSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0001-5327-5436
Michelle MeasSchool of Public Health, University of California, Berkeley, California, United States of America.
Luis LopezSchool of Public Health, University of California, Berkeley, California, United States of America.
Abigail BroughtonSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-4288-6511
Anna L BarcellosSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-2168-7919
Joan ShimSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0003-3302-6293
Yusef SeymensSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-3778-4078
Samantha HernandezSchool of Public Health, University of California, Berkeley, California, United States of America.
Magelda MontoyaSchool of Public Health, University of California, Berkeley, California, United States of America.
Darrell M JohnsonUniversity of Minnesota Genomics Center, University of Minnesota, Minneapolis, Minnesota, United States of America.
Kenneth B BeckmanUniversity of Minnesota Genomics Center, University of Minnesota, Minneapolis, Minnesota, United States of America.
Michael P BuschVitalant Research Institute, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0002-1446-125X
Josefina ColomaSchool of Public Health, University of California, Berkeley, California, United States of America.
Joseph A LewnardSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-5417-8475
Eva HarrisSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-7238-4037
Lisa F BarcellosSchool of Public Health, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-0303-3479
University of California, Berkeley · USUniversity of Minnesota · USPacific Research Institute · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive data on transmission mitigation behaviors and both SARS-CoV-2 infection and serostatus are needed from large, community-based cohorts to identify COVID-19 risk factors and the impact of public health measures. We conducted a longitudinal, population-based study in the East Bay Area of Northern California. From July 2020-March 2021, approximately 5,500 adults were recruited and followed over three data collection rounds to investigate the association between geographic and demographic characteristics and transmission mitigation behavior with SARS-CoV-2 prevalence. We estimated the populated-adjusted prevalence of antibodies from SARS-CoV-2 infection and COVID-19 vaccination, and self-reported COVID-19 test positivity. Population-adjusted SARS-CoV-2 seroprevalence was low, increasing from 1.03% (95% CI: 0.50-1.96) in Round 1 (July-September 2020), to 1.37% (95% CI: 0.75-2.39) in Round 2 (October-December 2020), to 2.18% (95% CI: 1.48-3.17) in Round 3 (February-March 2021). Population-adjusted seroprevalence of COVID-19 vaccination was 21.64% (95% CI: 19.20-24.34) in Round 3, with White individuals having 4.35% (95% CI: 0.35-8.32) higher COVID-19 vaccine seroprevalence than individuals identifying as African American or Black, American Indian or Alaskan Native, Asian, Hispanic, two or more races, or other. No evidence for an association between transmission mitigation behavior and seroprevalence was observed. Despite >99% of participants reporting wearing masks individuals identifying as African American or Black, American Indian or Alaskan Native, Asian, Hispanic, two or more races, or other, as well as those in lower-income households, and lower-educated individuals had the highest SARS-CoV-2 seroprevalence and lowest vaccination seroprevalence. Results demonstrate that more effective policies are needed to address these disparities and inequities.

Identifiers

PMID36962725
PMCPMC10022102
OpenAlexW4291617681

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read123
identifiers read9
Read underepoch 390

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.