Evidence map›Paper›PMID 23763426›Full record

ArticleAmerican journal of public health2013

Policies to reduce influenza in the workplace: impact assessments using an agent-based model.

Supriya Kumar, John J Grefenstette, David Galloway, Steven M Albert, Donald S Burke

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Observational
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  8. Review
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  11. Article
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  18. Sickness Presenteeism among Employees Having Workplace Conflicts-Results from Pooled Analyses in Latvia.International journal of environmental research and public health · 2022
    Article
  19. Article
  20. Screening and Characterization ofBiotech (Basel (Switzerland)) · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Supriya KumarDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA. supriya@pitt.edu
John J Grefenstette
David Galloway
Steven M Albert
Donald S Burke
University of Pittsburgh · US

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAKOSKI, JOAN M · 2009 to 2018
$16.7M
NIGMS NIH HHS U54 GM088491NIGMS NIH HHS U54GM088491
6 · The paper itself

Abstract

objectivesWe examined the impact of access to paid sick days (PSDs) and stay-at-home behavior on the influenza attack rate in workplaces.

methodsWe used an agent-based model of Allegheny County, Pennsylvania, with PSD data from the US Bureau of Labor Statistics, standard influenza epidemic parameters, and the probability of staying home when ill. We compared the influenza attack rate among employees resulting from workplace transmission, focusing on the effects of presenteeism (going to work when ill).

resultsIn a simulated influenza epidemic (R0 = 1.4), the attack rate among employees owing to workplace transmission was 11.54%. A large proportion (72.00%) of this attack rate resulted from exposure to employees engaging in presenteeism. Universal PSDs reduced workplace infections by 5.86%. Providing 1 or 2 "flu days"-allowing employees with influenza to stay home-reduced workplace infections by 25.33% and 39.22%, respectively.

conclusionsPSDs reduce influenza transmission owing to presenteeism and, hence, the burden of influenza illness in workplaces.

Indexed as

Models, OrganizationalOrganizational PolicyWorkplaceHumansInfluenza, HumanOccupational HealthPennsylvaniaSick Leave

Identifiers

PMID23763426
PMCPMC3893051
OpenAlexW2048839580

What OpenQuestion holds

Textmetadata
LicenceTDM
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.