Development of Indoor Rn modeling app

Screenshot taken by me

Radon (222Rn) is a naturally occurring gas that represents a health threat due to its causal relationship with lung cancer. Despite its potential health impacts, few studies have been carried out to assess this public health problem in countries where RC measurements and research are scarce. This project aims to contribute to the bridging of the baseline information gap by using inferential statistic methods to estimate indoor RC spatial distribution and building an easy-to-use webapp for RC modeling.

Overview

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Martín Domínguez Durán
Martín Domínguez Durán
MSc. Geo-Information Science Student

My research interests include environmental health, data science, deep learning and remote sensing.