EVALUATION OF REPRESENTATIVENESS OF SAMPLES USED FOR INDOOR RADON SURVEYS.


Journal

Radiation protection dosimetry
ISSN: 1742-3406
Titre abrégé: Radiat Prot Dosimetry
Pays: England
ID NLM: 8109958

Informations de publication

Date de publication:
27 Nov 2020
Historique:
pubmed: 31 10 2020
medline: 24 6 2021
entrez: 30 10 2020
Statut: ppublish

Résumé

The estimation of the indoor radon exposure of the population of a country is generally carried out by the means of surveys designed in order to have sample representativeness as a target (population-based survey). However, the estimates of radon concentration distributions could be affected by biases if sampling was not random or in case of differences between sample and target population characteristics. In this work, we performed a preliminary check of the representativeness of the sample used for the second Italian national survey aimed to evaluate radon concentration distribution in each Province. We found that sampled dwellings are mostly located in the main administrative centres, where average radon concentration is generally lower, as compared with the other towns of the Province. The potential source of bias identified in this work suggests to carefully control the occurrence of a sampling imbalance between 'main' cities and other cities of Province and to take it into account in data analysis.

Identifiants

pubmed: 33125499
pii: 5944054
doi: 10.1093/rpd/ncaa135
doi:

Substances chimiques

Air Pollutants, Radioactive 0
Radon Q74S4N8N1G

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

125-128

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Auteurs

M Caprio (M)

Italian National Institute of Health, National Center for Radiation Protection and Computational Physics, Viale Regina Elena 299, 00161 Rome, Italy.

G Venoso (G)

Italian National Institute of Health, National Center for Radiation Protection and Computational Physics, Viale Regina Elena 299, 00161 Rome, Italy.

M Ampollini (M)

Italian National Institute of Health, National Center for Radiation Protection and Computational Physics, Viale Regina Elena 299, 00161 Rome, Italy.

S Antignani (S)

Italian National Institute of Health, National Center for Radiation Protection and Computational Physics, Viale Regina Elena 299, 00161 Rome, Italy.

C Carpentieri (C)

Italian National Institute of Health, National Center for Radiation Protection and Computational Physics, Viale Regina Elena 299, 00161 Rome, Italy.

C Di Carlo (C)

Italian National Institute of Health, National Center for Radiation Protection and Computational Physics, Viale Regina Elena 299, 00161 Rome, Italy.
Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, Via A. Scarpa 14, 00161 Rome, Italy.

S Pozzi (S)

Italian National Institute of Health, National Center for Radiation Protection and Computational Physics, Viale Regina Elena 299, 00161 Rome, Italy.

V Carelli (V)

Safety and Environment Department, Telecom-Italia S.p.A., Italy.

C Cordedda (C)

Safety and Environment Department, Telecom-Italia S.p.A., Italy.

F Bottacchiari (F)

Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, Via A. Scarpa 14, 00161 Rome, Italy.

F Bochicchio (F)

Italian National Institute of Health, National Center for Radiation Protection and Computational Physics, Viale Regina Elena 299, 00161 Rome, Italy.

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Classifications MeSH