Novel approach to analysing large data sets of personal sun exposure measurements

Show simple item record Blesic, Suzana M. Stratimirovic, Dorde Ajtic, Jelena V. Wright, Caradee Yael Allen, Martin W. 2017-06-05T06:50:52Z 2017-06-05T06:50:52Z 2016-11 en
dc.description.abstract Personal sun exposure measurements provide important information to guide the development of sun awareness and disease prevention campaigns. We assess the scaling properties of personal ultraviolet radiation (pUVR) sun exposure measurements using the Wavelet Transform (WT) spectral analysis to process long-range, high frequency personal recordings collected by electronic UVR dosimeters designed to measure erythemal UVR exposure. We analyzed the sun exposure recordings of schoolchildren, farmers, marathon runners and outdoor workers in South Africa, and construction workers and work site supervisors in New Zealand. We found scaling behavior in all the analysed pUVR datasets. We found that the observed scaling changes from uncorrelated to long-range correlated with increasing duration of sun exposure. Peaks in the WT spectra that we found suggest the existence of characteristic times in sun exposure behavior that were to some extent universal across our dataset. Our study also showed that WT measures enable group classification, as well as distinction between individual UVR exposures, otherwise unattainable by conventional statistical methods. en_ZA
dc.description.department Geography, Geoinformatics and Meteorology en
dc.description.sponsorship The National Research Foundation, the Council for Scientific and Industrial Research and the South African Medical Research Council, and by the Ministry of Education, Science and Technological Development of the Republic of Serbia, research grants no. 171015 and 43007. en
dc.description.uri en
dc.identifier.citation Blesic, S.M., Stratimirovic, D.I., Ajtic, J.V., Wright, C.Y. & Allen, M.W. 2016, 'Novel approach to analysing large data sets of personal sun exposure measurements', Journal of Exposure Science and Environmental Epidemiology, vol. 26, no. 6, pp. 613-620. en
dc.identifier.issn 1559-064X (online) en
dc.identifier.issn 1559-0631 (print) en
dc.identifier.other 10.1038/jes.2016.43 en
dc.language.iso English en
dc.publisher Nature Publishing Group en
dc.rights Nature Publishing Group en
dc.subject Wavelet en
dc.subject Transform en
dc.subject Spectral analysis en
dc.subject Sun exposure en
dc.subject Personal measurement en
dc.title Novel approach to analysing large data sets of personal sun exposure measurements en_ZA
dc.type Postprint Article en

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