Sun Exposure of Body Districts: Development and Validation of an Algorithm to Predict the Erythemal Ultra Violet Dose.

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Title: Sun Exposure of Body Districts: Development and Validation of an Algorithm to Predict the Erythemal Ultra Violet Dose.
Authors: Salvadori G; Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy. giacomo.salvadori@unipi.it., Lista D; Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy. lista.davide@gmail.com., Burattini C; Department of Astronautical, Electrical and Energy Engineering, Sapienza University, 00184 Rome, Italy. chiara.burattini@uniroma1.it., Gugliermetti L; Department of Astronautical, Electrical and Energy Engineering, Sapienza University, 00184 Rome, Italy. luca.gugliermetti@uniroma1.it., Leccese F; Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy. f.leccese@ing.unipi.it., Bisegna F; Department of Astronautical, Electrical and Energy Engineering, Sapienza University, 00184 Rome, Italy. fabio.bisegna@uniroma1.it.
Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2019 Sep 27; Vol. 16 (19). Date of Electronic Publication: 2019 Sep 27.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Validation Study
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1660-4601
DOI:10.3390/ijerph16193632