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Spatiotemporal exposure modeling of ambient erythemal ultraviolet radiation

Overview of attention for article published in Environmental Health, November 2016
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Title
Spatiotemporal exposure modeling of ambient erythemal ultraviolet radiation
Published in
Environmental Health, November 2016
DOI 10.1186/s12940-016-0197-x
Pubmed ID
Authors

Trang VoPham, Jaime E. Hart, Kimberly A. Bertrand, Zhibin Sun, Rulla M. Tamimi, Francine Laden

Abstract

Ultraviolet B (UV-B) radiation plays a multifaceted role in human health, inducing DNA damage and representing the primary source of vitamin D for most humans; however, current U.S. UV exposure models are limited in spatial, temporal, and/or spectral resolution. Area-to-point (ATP) residual kriging is a geostatistical method that can be used to create a spatiotemporal exposure model by downscaling from an area- to point-level spatial resolution using fine-scale ancillary data. A stratified ATP residual kriging approach was used to predict average July noon-time erythemal UV (UVEry) (mW/m(2)) biennially from 1998 to 2012 by downscaling National Aeronautics and Space Administration (NASA) Total Ozone Mapping Spectrometer (TOMS) and Ozone Monitoring Instrument (OMI) gridded remote sensing images to a 1 km spatial resolution. Ancillary data were incorporated in random intercept linear mixed-effects regression models. Modeling was performed separately within nine U.S. regions to satisfy stationarity and account for locally varying associations between UVEry and predictors. Cross-validation was used to compare ATP residual kriging models and NASA grids to UV-B Monitoring and Research Program (UVMRP) measurements (gold standard). Predictors included in the final regional models included surface albedo, aerosol optical depth (AOD), cloud cover, dew point, elevation, latitude, ozone, surface incoming shortwave flux, sulfur dioxide (SO2), year, and interactions between year and surface albedo, AOD, cloud cover, dew point, elevation, latitude, and SO2. ATP residual kriging models more accurately estimated UVEry at UVMRP monitoring stations on average compared to NASA grids across the contiguous U.S. (average mean absolute error [MAE] for ATP, NASA: 15.8, 20.3; average root mean square error [RMSE]: 21.3, 25.5). ATP residual kriging was associated with positive percent relative improvements in MAE (0.6-31.5%) and RMSE (3.6-29.4%) across all regions compared to NASA grids. ATP residual kriging incorporating fine-scale spatial predictors can provide more accurate, high-resolution UVEry estimates compared to using NASA grids and can be used in epidemiologic studies examining the health effects of ambient UV.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Bachelor 5 18%
Student > Master 5 18%
Student > Ph. D. Student 3 11%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 7 25%
Readers by discipline Count As %
Computer Science 4 14%
Medicine and Dentistry 3 11%
Nursing and Health Professions 3 11%
Agricultural and Biological Sciences 3 11%
Environmental Science 2 7%
Other 5 18%
Unknown 8 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 November 2016.
All research outputs
#7,530,084
of 8,683,790 outputs
Outputs from Environmental Health
#783
of 869 outputs
Outputs of similar age
#240,864
of 298,111 outputs
Outputs of similar age from Environmental Health
#27
of 31 outputs
Altmetric has tracked 8,683,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 869 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.