Articles | Volume 24, issue 4
Research article
23 Apr 2024
Research article |  | 23 Apr 2024

Modeling of indoor 222Rn in data-scarce regions: an interactive dashboard approach for Bogotá, Colombia

Martín Domínguez Durán, María Angélica Sandoval Garzón, and Carme Huguet

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Cited articles

Alber, O., Laubichler, C., Baumann, S., Gruber, V., Kuchling, S., and Schleicher, C.: Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models, Stochastic Environmental Research and Risk Assessment, Springer, Berlin, Heidelberg, 1–15,, 2023. a
Auvinen, A., Salonen, L., Pekkanen, J., Pukkala, E., Ilus, T., and Kurttio, P.: Radon and other natural radionuclides in drinking water and risk of stomach cancer: A case-cohort study in Finland, International journal of cancer, Journal international du cancer, 114, 109–113,, 2005.  a
Beigaitė, R., Mechenich, M., and Žliobaitė, I.: Spatial Cross-Validation for Globally Distributed Data, in: Discovery Science, edited by: Pascal, P. and Ienco, D., Springer Nature Switzerland, Cham, 127–140, ISBN 978-3-031-18840-4, 2022. a
Burke, Ó., Long, S., Murphy, P., Organo, C., Fenton, D., and Colgan, P. A.: Estimation of seasonal correction factors through Fourier decomposition analysis – a new model for indoor radon levels in Irish homes, J. Radiolog. Protect., 30, 433–443,, 2010. a
Short summary
In this study we created a cost-effective alternative to bridge the baseline information gap on indoor radon (a highly carcinogenic gas) in regions where measurements are scarce. We model indoor radon concentrations to understand its spatial distribution and the potential influential factors. We evaluated the performance of this alternative using a small number of measurements taken in Bogotá, Colombia. Our results show that this alternative could help in the making of future studies and policy.
Final-revised paper