2021
DOI: 10.1016/j.envint.2020.106177
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Developing a UV climatology for public health purposes using satellite data

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Cited by 15 publications
(12 citation statements)
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“…Additionally, the abundance of local shading and varying levels of shade seeking behaviour are (respectively) environmental and individual factors that lower doses and can vary substantially, but that our model does not yet account for due to a lack of information [11,34,51,52]. Our model assumes that subjects are fully exposed for the entire duration of their exposure period when, in reality, builders and skiers could find themselves on slopes that are topographically shaded, and builders especially could be occasionally shaded by foliage, structures, or even their colleagues and vehicles.…”
Section: Resultsmentioning
confidence: 99%
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“…Additionally, the abundance of local shading and varying levels of shade seeking behaviour are (respectively) environmental and individual factors that lower doses and can vary substantially, but that our model does not yet account for due to a lack of information [11,34,51,52]. Our model assumes that subjects are fully exposed for the entire duration of their exposure period when, in reality, builders and skiers could find themselves on slopes that are topographically shaded, and builders especially could be occasionally shaded by foliage, structures, or even their colleagues and vehicles.…”
Section: Resultsmentioning
confidence: 99%
“…While individual and environmental factors are mostly accounted for by our method, the measurement errors that affect dosimetry are not. Given that the Vuilleumier et al climatology has already been validated [11], we know that our ambient UV dose estimates are accurate. Therefore, to illustrate the challenges of personal dosimetry, the third main calculation performed in this paper is an empirical calculation of ERs by comparing the Dose ambient calculations from Equation (1) to the corresponding dosimetry measurements.…”
Section: Methodsmentioning
confidence: 92%
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