Evidence map›Paper›PMID 28711851›Full record

ArticleThe Science of the total environment2017

The use of gamma-survey measurements to better understand radon potential in urban areas.

Andrew S Berens, Jeremy Diem, Christine Stauber, Dajun Dai, Stephanie Foster, Richard Rothenberg

Abstract read
In one paragraph

Article in The Science of the total environment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Outdoor Radon Dose Rate in Canada's Arctic amid Climate Change.Environmental science & technology · 2024
    Article
  2. Article
  3. Article
  4. 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

6 authors.

Andrew S BerensDepartment of Geosciences, Georgia State University, Atlanta, GA, United States; Geospatial Research, Analysis, and Services Program (GRASP), Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Chamblee, GA, United States. Electronic address: LWR8@cdc.gov.
Jeremy DiemDepartment of Geosciences, Georgia State University, Atlanta, GA, United States.
Christine StauberSchool of Public Health, Georgia State University, Atlanta, GA, United States.
Dajun DaiDepartment of Geosciences, Georgia State University, Atlanta, GA, United States.
Stephanie FosterGeospatial Research, Analysis, and Services Program (GRASP), Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Chamblee, GA, United States.
Richard RothenbergSchool of Public Health, Georgia State University, Atlanta, GA, United States.

Funding

Disparities in Exposure to Environmental ThreatsP20MD009572 · NIMHD · GEORGIA STATE UNIVERSITY · PI ROTHENBERG, RICHARD B · 2014 to 2014
$296k
Intramural CDC HHS CC999999NIMHD NIH HHS P20 MD009572
6 · The paper itself

Abstract

Accounting for as much as 14% of all lung cancers worldwide, cumulative radon progeny exposure is the leading cause of lung cancer among never-smokers both internationally and in the United States. To understand the risk of radon progeny exposure, studies have mapped radon potential using aircraft-based measurements of gamma emissions. However, these efforts are hampered in urban areas where the built environment obstructs aerial data collection. To address part of this limitation, this study aimed to evaluate the effectiveness of using in situ gamma readings (taken with a scintillation probe attached to a ratemeter) to assess radon potential in an urban environment: DeKalb County, part of the Atlanta metropolitan area, Georgia, USA. After taking gamma measurements at 402 survey sites, empirical Bayesian kriging was used to create a continuous surface of predicted gamma readings for the county. We paired these predicted gamma readings with indoor radon concentration data from 1351 residential locations. Statistical tests showed the interpolated gamma values were significantly but weakly positively related with indoor radon concentrations, though this relationship is decreasingly informative at finer geographic scales. Geology, gamma readings, and indoor radon were interrelated, with granitic gneiss generally having the highest gamma readings and highest radon concentrations and ultramafic rock having the lowest of each. Our findings indicate the highest geogenic radon potential may exists in the relatively undeveloped southeastern part of the county. It is possible that in situ gamma, in concert with other variables, could offer an alternative to aerial radioactivity measurements when determining radon potential, though future work will be needed to address this project's limitations.

Indexed as

Radiation MonitoringAir Pollutants, RadioactiveAir Pollution, IndoorBayes TheoremCitiesGeorgiaHumansRadonAir Pollutants, RadioactiveRadonGammaGeologyPublic healthRadiationRadon

Identifiers

PMID28711851
PMCPMC5613979

What OpenQuestion holds

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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.