Evidence map›Paper›PMID 35276338›Full record

ArticleAnnals of epidemiology2022

SARS-CoV-2 active infection prevalence and seroprevalence in the adult population of St. Louis County.

Charles W Goss, Brett B Maricque, Victoria V Anwuri, Rachel E Cohen, Kate Donaldson, Kimberly J Johnson, William G Powderly, Kenneth B Schechtman, Spring Schmidt, Jeannette Jackson Thompson and 3 more

Abstract read
In one paragraph

Article in Annals of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. SARS-CoV-2 anti-N antibodies among healthcare personnel without previous known COVID-19.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  5. Article
  6. 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

13 authors.

Charles W GossDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO. Electronic address: cwgoss@wustl.edu.
Brett B MaricqueMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO.
Victoria V AnwuriInstitute for Public Health, Washington University, St. Louis, MO.
Rachel E CohenSt. Louis County Department of Public Health, Berkeley, MO.
Kate DonaldsonSt. Louis County Department of Public Health, Berkeley, MO.
Kimberly J JohnsonBrown School, Washington University in St. Louis, St. Louis, MO.
William G PowderlyInstitute for Public Health, Washington University, St. Louis, MO; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO.
Kenneth B SchechtmanDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO.
Spring SchmidtSt. Louis County Department of Public Health, Berkeley, MO.
Jeannette Jackson ThompsonHealth & Behavioral Risk Research Center, University of Missouri School of Medicine Dept. of Health Management & Informatics, Columbia, MO.
Anne M TrolardInstitute for Public Health, Washington University, St. Louis, MO.
Jinli WangDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO.
Elvin H GengDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, MO.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe true prevalence of COVID-19 is difficult to estimate due to the absence of random population-based testing. To estimate current and past COVID-19 infection prevalence in a large urban area, we conducted a population-based survey in St. Louis County, Missouri.

methodsThe population-based survey of active infection (PCR) and seroprevalence (IgG antibodies) of adults (≥18 years) was conducted through random-digit dialing and targeted sampling of St. Louis County residents with oversampling of Black residents. Infection prevalence of residents was estimated using design-based and raking weighting.

resultsBetween August 17 and October 24, 2020, 1245 residents completed a survey and underwent PCR testing; 1073 residents completed a survey and underwent PCR and IgG testing or self-reported results. Weighted prevalence estimates of residents with active infection were 1.9% (95% CI, 0.4%-3.3%) and 5.6% were ever infected (95% CI, 3.3%-8.0%). Overall infection hospitalization and fatality ratios were 4.9% and 1.4%, respectively.

conclusionsThrough October 2020, the percentage of residents that had ever been infected was relatively low. A markedly higher percentage of Black and other minorities compared to White residents were infected with COVID-19. The St. Louis region remained highly vulnerable to widespread infection in late 2020.

Indexed as

COVID-19AdultAntibodies, ViralHumansImmunoglobulin GPrevalenceSARS-CoV-2Seroepidemiologic StudiesAntibodies, ViralImmunoglobulin GCovid-19Probability surveySeroprevalence

Identifiers

PMID35276338
PMCPMC8902054

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.