Evidence map›Paper›PMID 38357883›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Association Between Social Vulnerability and SARS-CoV-2 Seroprevalence in Specimens Collected From Commercial Laboratories, United States, September 2021-February 2022.

Tina J Benoit, Yun Kim, Yangyang Deng, Zheng Li, Lee Harding, Ryan Wiegand, Xiaoyi Deng, Jefferson M Jones, Iachan Ronaldo, Kristie E N Clarke

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. The Effect of SARS-CoV-2 Reinfection on Long-Term Symptoms in the Innovative Support for Patients With SARS-CoV-2 Infections Registry (INSPIRE).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  3. Article
  4. Article
  5. Article
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.

Tina J BenoitCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0002-7645-5699
Yun KimICF Inc, Fairfax, VA, USA.
Yangyang DengICF Inc, Fairfax, VA, USA.
Zheng LiOffice of Capacity Development and Applied Prevention Science, Agency for Toxic Substances and Disease Registry, Atlanta, GA, USA.
Lee HardingICF Inc, Fairfax, VA, USA.
Ryan WiegandCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Xiaoyi DengICF Inc, Fairfax, VA, USA.
Jefferson M JonesCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Iachan RonaldoICF Inc, Fairfax, VA, USA.
Kristie E N ClarkeCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0003-0544-3612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe conducted a national US study of SARS-CoV-2 seroprevalence by Social Vulnerability Index (SVI) that included pediatric data and compared the Delta and Omicron periods during the COVID-19 pandemic. The objective of the current study was to assess the association between SVI and seroprevalence of infection-induced SARS-CoV-2 antibodies by period (Delta vs Omicron) and age group.

methodsWe used results of infection-induced SARS-CoV-2 antibody assays of clinical sera specimens (N = 406 469) from 50 US states from September 2021 through February 2022 to estimate seroprevalence overall and by county SVI tercile. Bivariate analyses and multilevel logistic regression models assessed the association of seropositivity with SVI and its themes by age group (0-17, ≥18 y) and period (Delta: September-November 2021; Omicron: December 2021-February 2022).

resultsAggregate infection-induced SARS-CoV-2 antibody seroprevalence increased at all 3 SVI levels; it ranged from 25.8% to 33.5% in September 2021 and from 53.1% to 63.5% in February 2022. Of the 4 SVI themes, socioeconomic status had the strongest association with seroprevalence. During the Delta period, we found significantly more infections per reported case among people living in a county with high SVI (odds ratio [OR] = 2.76; 95% CI, 2.31-3.21) than in a county with low SVI (OR = 1.65; 95% CI, 1.33-1.97); we found no significant difference during the Omicron period. Otherwise, findings were consistent across subanalyses by age group and period.

conclusionsAmong both children and adults, and during both the Delta and Omicron periods, counties with high SVI had significantly higher SARS-CoV-2 antibody seroprevalence than counties with low SVI did. These disparities reinforce SVI's value in identifying communities that need tailored prevention efforts during public health emergencies and resources to recover from their effects.

Indexed as

COVID-19SARS-CoV-2Social VulnerabilityAdolescentAdultAntibodies, ViralChildChild, PreschoolFemaleHumansInfantInfant, NewbornLaboratoriesMaleMiddle AgedSeroepidemiologic StudiesAntibodies, ViralSARS-CoV-2serologyseroprevalenceSocial Vulnerability IndexSVI

Identifiers

PMID38357883
PMCPMC11284970

What OpenQuestion holds

Textmetadata
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.