Estimation of Individual Exposure to Erythemal Weighted UVR by Multi-Sensor Measurements and Integral Calculation.

children UVR health individual UVR exposure multi-sensor UVR measurement

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
22 Jul 2020
Historique:
received: 17 06 2020
revised: 14 07 2020
accepted: 19 07 2020
entrez: 26 7 2020
pubmed: 28 7 2020
medline: 28 7 2020
Statut: epublish

Résumé

Ultraviolet radiation (UVR) can be hazardous to humans, especially children, and is associated with sunburn, melanoma, and the risk of skin cancer. Understanding and estimating adults' and children's UVR exposure is critical to the design of effective interventions and the production of healthy UVR environments. Currently, there are limitations to the ways computer modeling and field measurements estimate individual UVR exposure in a given landscape. To address these limitations, this study developed an approach of integral calculation using six-directional (up, down, south, north, east, and west) field-measured UVR data and the estimated body exposure ratios (ER) for both children and adults. This approach showed high agreement when compared to a validated approach using ambient UVR and estimated ER data with a high r-square value (90.72% for child and adult models), and a low mean squared error (6.0% for child model and 5.1% for adult model) in an open area. This approach acting as a complementary tool between the climatology level and individual level can be used to estimate individual UVR exposure in a landscape with a complicated shady environment. In addition, measuring daily UVR data from six directions under open sky conditions confirmed that personal dosimeters underestimate actual individual UVR exposure.

Identifiants

pubmed: 32707787
pii: s20154068
doi: 10.3390/s20154068
pmc: PMC7435697
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Int J Biometeorol. 1986 Mar;30(1):43-52
pubmed: 3699925
J Expo Sci Environ Epidemiol. 2015 Jan;25(1):113-8
pubmed: 24496216
Photochem Photobiol. 1999 Aug;70(2):269-74
pubmed: 10461467
Am J Epidemiol. 1992 May 15;135(10):1103-13
pubmed: 1632422
J Invest Dermatol. 2008 Feb;128(2):461-4
pubmed: 17762860
Photochem Photobiol. 2016 Jan-Feb;92(1):201-7
pubmed: 26480960
Photochem Photobiol. 2017 Jul;93(4):1123-1132
pubmed: 28097673
Photochem Photobiol. 2018 Sep;94(5):900-915
pubmed: 29856894
Pediatrics. 2013 May;131(5):846-54
pubmed: 23589817
Photochem Photobiol. 2018 Mar;94(2):357-361
pubmed: 29110305
Pediatrics. 2002 Jun;109(6):1009-14
pubmed: 12042536
Pediatr Dermatol. 2010 Mar-Apr;27(2):125-31
pubmed: 19804498
Prev Med. 2006 Apr;42(4):301-8
pubmed: 16448688
Int J Biometeorol. 2004 Sep;49(1):18-25
pubmed: 15232726
Photochem Photobiol. 2012 Jan-Feb;88(1):223-6
pubmed: 22044161
Photochem Photobiol. 2013 Jul-Aug;89(4):1004-7
pubmed: 23587050
Photochem Photobiol Sci. 2014 Mar;13(3):521-30
pubmed: 24352228
Pediatrics. 2011 Mar;127(3):e791-817
pubmed: 21357345
J Am Acad Dermatol. 2017 Mar;76(3S1):S110-S121
pubmed: 28038884
Pediatrics. 2006 Sep;118(3):853-64
pubmed: 16950974
JMIR Res Protoc. 2018 Apr 17;7(4):e102
pubmed: 29666044
Photochem Photobiol. 2011 May-Jun;87(3):721-8
pubmed: 21223287
Photochem Photobiol. 2004 Jan;79(1):40-7
pubmed: 14974714
Ann Behav Med. 1997 Fall;19(4):399-407
pubmed: 9706367
Photochem Photobiol Sci. 2018 Dec 5;17(12):1956-1963
pubmed: 29904757
Int J Cancer. 1997 Jan 6;70(1):26-31
pubmed: 8985086
Photochem Photobiol. 2010 Mar-Apr;86(2):457-66
pubmed: 20059727

Auteurs

Wenwen Cheng (W)

College of Architecture, University of Oklahoma, Norman, OK 73019, USA.

Robert Brown (R)

Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA.

David Vernez (D)

Center for Primary Care and Public Health (Unisanté), Department of Occupational and Environmental Health, University of Lausanne, CH-1015 Lausanne, Switzerland.

Daniel Goldberg (D)

Department of Geography, Texas A&M University, College Station, TX 77843, USA.

Classifications MeSH