Evidence map›Paper›PMID 23152808›Full record

ArticlePloS one2012

Distribution of influenza-like illness (ILI) by occupation in Washington State, September 2009-August 2010.

Naomi J Anderson, David K Bonauto, Z Joyce Fan, June T Spector

Open access · goldAbstract readHistorical Article
In one paragraph

Article in PloS one, 2012. 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
0.8field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 33 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Naomi J AndersonWashington State Department of Labor & Industries, Safety & Health Assessment & Research for Prevention Program, Olympia, Washington, United States of America. anna235@lni.wa.gov
David K Bonauto
Z Joyce Fan
June T Spector
United States Department of State · USUniversity of Washington · US

Funding

Washington Occupational Surveillance ProgramU60OH008487 · OH · WASHINGTON STATE DEPT LAB &INDUST · PI BONAUTO, DAVID K, WUELLNER, SARA · 2005 to 2025
$11.5M
NIOSH CDC HHS 5U60 OH008487NIOSH CDC HHS U60 OH008487
6 · The paper itself

Abstract

objectivesWe aim to estimate the prevalence of influenza-like illness (ILI) by occupation and to identify occupations associated with increased ILI prevalence.

methodsBetween September 2009 and August 2010, the Centers for Disease Control (CDC) included questions on ILI symptoms on the Behavioral Risk Factor Surveillance System (BRFSS). Washington State collects the occupation of all employed BRFSS respondents. ILI prevalence and prevalence ratios (PR) were calculated by occupational group.

resultsThere were 8,758 adult, currently employed, non-military respondents to the Washington BRFSS during the study period. The ILI prevalence for all employed respondents was 6.8% (95% Confidence Interval (95% CI) = 6.1, 7.6). PRs indicated a lower prevalence of ILI in Technicians (PR = 0.4, 95% CI = 0.2, 0.9) and Truck Drivers (PR = 0.2, 95% CI = 0.1, 0.7) and higher prevalence in Janitors and Cleaners (PR = 2.5, 95% CI = 1.3, 4.7) and Secretaries (PR = 2.4, 95% CI = 1.1, 5.4).

conclusionsSome occupations appear to have higher prevalence of ILI than others. These occupational differences may be explained, in part, by differing levels of social contact with the public or contact with contaminated surfaces at work, or by other occupational factors such as stress or access to health care resources.

Indexed as

OccupationsAdolescentAdultAgedAged, 80 and overFemaleHealth SurveysHistory, 21st CenturyHumansInfluenza, HumanMaleMiddle AgedPrevalenceSurveys and QuestionnairesWashingtonYoung Adult

Identifiers

PMID23152808
PMCPMC3495964
OpenAlexW1980623409

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.