Evidence map›Paper›PMID 35279023›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Incidence and Prevalence of Coronavirus Disease 2019 Within a Healthcare Worker Cohort During the First Year of the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic.

Sarah B Doernberg, Marisa Holubar, Vivek Jain, Yingjie Weng, Di Lu, Jenna B Bollyky, Hannah Sample, Beatrice Huang, Charles S Craik, Manisha Desai and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Effectiveness of face masks for reducing transmission of SARS-CoV-2: a rapid systematic review.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

13 authors at 4 institutions in 1 country.

Sarah B DoernbergDivision of Infectious Diseases, University of California, San Francisco, San Francisco, California, USA.
Marisa HolubarDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-7585-1809
Vivek JainDivision of HIV, Infectious Diseases & Global Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, California, USA.
Yingjie WengQuantitative Sciences Unit, Stanford University School of Medicine, California, USA.
Di LuQuantitative Sciences Unit, Stanford University School of Medicine, California, USA.
Jenna B BollykyDivision of Pediatric Infectious Diseases, Stanford University School of Medicine, California, USA.
Hannah SampleDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, USA.
Beatrice HuangDepartment of Family and Community Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, California, USA.
Charles S CraikDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.
Manisha DesaiQuantitative Sciences Unit, Stanford University School of Medicine, California, USA.
George W RutherfordDivision of Infectious Disease and Global Epidemiology, Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Yvonne MaldonadoDivision of Pediatric Infectious Diseases, Stanford University School of Medicine, California, USA.
CHART Study Consortium
University of California, San Francisco · USQuantitative BioSciences · USStanford University · USSan Francisco General Hospital · US

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Development of an Open-Source and Data-Driven Modeling Platform to Monitor and Forecast Disease ActivityR01GM130668 · NIGMS · NORTHEASTERN UNIVERSITY · PI SANTILLANA, MAURICIO · 2018 to 2022
$1.9M
NCATS NIH HHS UL1 TR003142NIGMS NIH HHS R01 GM130668
6 · The paper itself

Abstract

backgroundPreventing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2_ infections in healthcare workers (HCWs) is critical for healthcare delivery. We aimed to estimate and characterize the prevalence and incidence of coronavirus disease 2019 (COVID-19) in a US HCW cohort and to identify risk factors associated with infection.

methodsWe conducted a longitudinal cohort study of HCWs at 3 Bay Area medical centers using serial surveys and SARS-CoV-2 viral and orthogonal serological testing, including measurement of neutralizing antibodies. We estimated baseline prevalence and cumulative incidence of COVID-19. We performed multivariable Cox proportional hazards models to estimate associations of baseline factors with incident infections and evaluated the impact of time-varying exposures on time to COVID-19 using marginal structural models.

resultsA total of 2435 HCWs contributed 768 person-years of follow-up time. We identified 21 of 2435 individuals with prevalent infection, resulting in a baseline prevalence of 0.86% (95% confidence interval [CI], .53%-1.32%). We identified 70 of 2414 incident infections (2.9%), yielding a cumulative incidence rate of 9.11 cases per 100 person-years (95% CI, 7.11-11.52). Community contact with a known COVID-19 case was most strongly correlated with increased hazard for infection (hazard ratio, 8.1 [95% CI, 3.8-17.5]). High-risk work-related exposures (ie, breach in protective measures) drove an association between work exposure and infection (hazard ratio, 2.5 [95% CI, 1.3-4.8). More cases were identified in HCWs when community case rates were high.

conclusionsWe observed modest COVID-19 incidence despite consistent exposure at work. Community contact was strongly associated with infections, but contact at work was not unless accompanied by high-risk exposure.

Indexed as

COVID-19SARS-CoV-2Cohort StudiesHealth PersonnelHumansIncidenceLongitudinal StudiesPandemicsPrevalenceCOVID-19healthcare personnelhealthcare workerSARS-CoV-2

Identifiers

PMID35279023
PMCPMC8992269
OpenAlexW4221017246

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.