Evidence map›Paper›PMID 28640687›Full record

ArticleAmerican journal of public health2017

Dust Exposure and Coccidioidomycosis Prevention Among Solar Power Farm Construction Workers in California.

Gail L Sondermeyer Cooksey, Jason A Wilken, Jennifer McNary, Debra Gilliss, Dennis Shusterman, Barbara L Materna, Duc J Vugia

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 30 citations in OpenAlex.

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  17. A Review ofCurrent clinical microbiology reports · 2021
    Review
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  20. Surveillance for Coccidioidomycosis - United States, 2011-2017.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2019
    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

7 authors at 1 institution in 1 country.

Gail L Sondermeyer CookseyAll of the authors are with California Department of Public Health, Richmond. Jason A. Wilken is also with the Office of Public Health Preparedness and Response, Career Epidemiology Field Officer Program, Centers for Disease Control and Prevention, Atlanta, GA.
Jason A WilkenAll of the authors are with California Department of Public Health, Richmond. Jason A. Wilken is also with the Office of Public Health Preparedness and Response, Career Epidemiology Field Officer Program, Centers for Disease Control and Prevention, Atlanta, GA.
Jennifer McNaryAll of the authors are with California Department of Public Health, Richmond. Jason A. Wilken is also with the Office of Public Health Preparedness and Response, Career Epidemiology Field Officer Program, Centers for Disease Control and Prevention, Atlanta, GA.
Debra GillissAll of the authors are with California Department of Public Health, Richmond. Jason A. Wilken is also with the Office of Public Health Preparedness and Response, Career Epidemiology Field Officer Program, Centers for Disease Control and Prevention, Atlanta, GA.
Dennis ShustermanAll of the authors are with California Department of Public Health, Richmond. Jason A. Wilken is also with the Office of Public Health Preparedness and Response, Career Epidemiology Field Officer Program, Centers for Disease Control and Prevention, Atlanta, GA.
Barbara L MaternaAll of the authors are with California Department of Public Health, Richmond. Jason A. Wilken is also with the Office of Public Health Preparedness and Response, Career Epidemiology Field Officer Program, Centers for Disease Control and Prevention, Atlanta, GA.
Duc J VugiaAll of the authors are with California Department of Public Health, Richmond. Jason A. Wilken is also with the Office of Public Health Preparedness and Response, Career Epidemiology Field Officer Program, Centers for Disease Control and Prevention, Atlanta, GA.
Office of Readiness and Response · US

Funding

NCEZID CDC HHS U50 CK000410
6 · The paper itself

Abstract

objectivesTo investigate if work activities, dust exposure, and protection measures were associated with a 2011 to 2014 coccidioidomycosis outbreak among workers constructing 2 solar farms in California.

methodsIn 2013, we mailed self-administered questionnaires to employees who were onsite at the solar farms where the outbreak occurred to identify cases of clinical coccidioidomycosis and compare with asymptomatic workers by using multivariate logistic regression.

resultsWhen we compared 89 workers with clinical coccidioidomycosis to 325 asymptomatic workers, frequently being in a dust cloud or storm (odds ratio [OR] = 5.93; 95% confidence interval [CI] = 3.18, 11.06) significantly increased the odds of clinical coccidioidomycosis, whereas frequently wetting soil before soil-disturbing activity (OR = 0.42; 95% CI = 0.24, 0.75) was protective. When we controlled for being in a dust cloud or storm, frequent soil disturbance significantly increased the odds of clinical coccidioidomycosis only among those who reported wearing a respirator infrequently (OR = 2.31; 95% CI = 1.27, 4.21).

conclusionsUtilization of personal and employer-driven safety practices and increased coccidioidomycosis awareness among construction workers should be considered during the planning of any construction work in coccidioidomycosis-endemic regions to prevent occupational infections and outbreaks.

Indexed as

DustFacility Design and ConstructionFarmsOccupational ExposureSolar EnergyAdolescentAdultAgedAged, 80 and overCaliforniaCoccidioidomycosisDisease OutbreaksFemaleHealth SurveysHumansLogistic ModelsDust

Identifiers

PMID28640687
PMCPMC5508138
OpenAlexW2694401886

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.