Evidence map›Paper›PMID 36168232›Full record

ArticleIndoor air2022

Temporal uncertainty versus coefficient of variation for rational regulation of indoor radon.

Andrey Tsapalov, Konstantin Kovler

Abstract read
In one paragraph

Article in Indoor air, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Radon Exposure Assessment: IoT-Embedded Sensors.Sensors (Basel, Switzerland) · 2025
    Review
  2. Article
  3. Article
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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

2 authors.

Andrey TsapalovNational Building Research Institute - Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Konstantin KovlerNational Building Research Institute - Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa, Israel.ORCID 0000-0002-8227-8975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significant temporal variations of radon and other air pollutants can be observed in any room, even one with permanently closed windows and doors. Therefore, a question arises: how can one assess the conformity of a room with a normative and make a reliable decision if the test lasts <1 year (days or months)? The measurement protocol fundamentally differs between Europe with its long-term testing tradition lasting several months, and the US where short-term tests of several days are more common. Neither the European nor the American protocols considers the temporal uncertainty of indoor radon, a factor that usually exceeds the instrumental uncertainty (including in long-term tests) and is 2-3 times higher the coefficient of variation (COV) commonly used to estimate temporal variations. This problem significantly complicates the creation of a rational and harmonized ISO standard. At the same time, strict adhering to the fundamental ISO/IEC rules within such concepts as "measurement uncertainty" and "conformity assessment" allows to control the coverage probability or reliability of decision making. Within ISO/IEC, proposed are a criterion of conformity assessment of a room with a normative for both short- and long-term measurements, as well as a statistical algorithm for determining the temporal uncertainty considering mode and measurements duration.

Indexed as

Air Pollutants, RadioactiveAir Pollution, IndoorRadiation MonitoringRadonReproducibility of ResultsSeasonsUncertaintyAir Pollutants, RadioactiveRadonannual monitoringcoefficient of variationindoor radonrational regulationseasonal correction factortemporal uncertainty

Identifiers

PMID36168232
PMCPMC9828248

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.