Evidence map›Paper›PMID 37873066›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Seroincidence of SARS-CoV-2 infection prior to and during the rollout of vaccines in a community-based prospective cohort of U.S. adults.

Denis Nash, Avantika Srivastava, Jenny Shen, Kate Penrose, Sarah Gorrell Kulkarni, Rebecca Zimba, William You, Amanda Berry, Chloe Mirzayi, Andrew Maroko and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Denis NashInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Avantika SrivastavaInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Jenny ShenInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Kate PenroseInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Sarah Gorrell KulkarniInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Rebecca ZimbaInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
William YouInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Amanda BerryInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Chloe MirzayiInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Andrew MarokoInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Angela M ParcesepeInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
Christian GrovInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
McKaylee M RobertsonInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York, New York, USA.
The Graduate Center, CUNY · USCity University of New York · USUniversity of North Carolina at Chapel Hill · US

Funding

Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUH3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2019 to 2021
$6.9M
Brief digital intervention to increase COVID-19 vaccination among individuals with anxiety or depressionRF1MH132360 · NIMH · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI NASH, DENIS, PARCESEPE, ANGELA · 2022 to 2022
$3.3M
NIAID NIH HHS UH3 AI133675NIMH NIH HHS RF1 MH132360
6 · The paper itself

Abstract

Background: Infectious disease surveillance systems, which largely rely on diagnosed cases, underestimate the true incidence of SARS-CoV-2 infection, due to under-ascertainment and underreporting. We used repeat serologic testing to measure N-protein seroconversion in a well-characterized cohort of U.S. adults with no serologic evidence of SARS-CoV-2 infection to estimate the incidence of SARS-CoV-2 infection and characterize risk factors, with comparisons before and after the start of the SARS-CoV-2 vaccine and variant eras. Methods: We assessed the incidence rate of infection and risk factors in two sub-groups (cohorts) that were SARS-CoV-2 N-protein seronegative at the start of each follow-up period: 1) the pre-vaccine/wild-type era cohort (n=3,421), followed from April to November 2020; and 2) the vaccine/variant era cohort (n=2,735), followed from November 2020 to June 2022. Both cohorts underwent repeat serologic testing with an assay for antibodies to the SARS-CoV-2 N protein (Bio-Rad Platelia SARS-CoV-2 total Ab). We estimated crude incidence and sociodemographic/epidemiologic risk factors in both cohorts. We used multivariate Poisson models to compare the risk of SARS-CoV-2 infection in the pre-vaccine/wild-type era cohort (referent group) to that in the vaccine/variant era cohort, within strata of vaccination status and epidemiologic risk factors (essential worker status, child in the household, case in the household, social distancing). Findings: In the pre-vaccine/wild-type era cohort, only 18 of the 3,421 participants (0.53%) had ≥1 vaccine dose by the end of follow-up, compared with 2,497/2,735 (91.3%) in the vaccine/variant era cohort. We observed 323 and 815 seroconversions in the pre-vaccine/wild-type era and the vaccine/variant era and cohorts, respectively, with corresponding incidence rates of 9.6 (95% CI: 8.3-11.5) and 25.7 (95% CI: 24.2-27.3) per 100 person-years. Associations of sociodemographic and epidemiologic risk factors with SARS-CoV-2 incidence were largely similar in the pre-vaccine/wild-type and vaccine/variant era cohorts. However, some new epidemiologic risk factors emerged in the vaccine/variant era cohort, including having a child in the household, and never wearing a mask while using public transit. Adjusted incidence rate ratios (aIRR), with the entire pre-vaccine/wild-type era cohort as the referent group, showed markedly higher incidence in the vaccine/variant era cohort, but with more vaccine doses associated with lower incidence: aIRR Interpretation: In SARS-CoV-2 N protein seronegative individuals, large increases in incidence and newly emerging epidemiologic risk factors in the vaccine/variant era likely resulted from multiple co-occurring factors, including policy changes, behavior changes, surges in transmission, and changes in SARS-CoV-2 variant properties. While SARS-CoV-2 incidence increased markedly in most groups in the vaccine/variant era, being up to date on vaccines and the use of non-pharmaceutical interventions (NPIs), such as masking and social distancing, remained reliable strategies to mitigate the risk of SARS-CoV-2 infection, even through major surges due to immune evasive variants. Repeat serologic testing in cohort studies is a useful and complementary strategy to characterize SARS-CoV-2 incidence and risk factors.

Indexed as

asymptomatic infectioncommunity transmissionCOVID-19epidemiologic studyessential workersinfection-induced seroconversionnatural history studyphysical distancingpublic health interventionsserology

Identifiers

PMID37873066
PMCPMC10593054
OpenAlexW4387249832

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.