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Ayotte, J.D., L. Medalie, S.L. Qi, L.C. Backer, and B.T. Nolan.
Environmental Science & Technology 51(21):12443-12454(2017)

A logistic regression model of the probability of having arsenic >10 µg/L (high arsenic) in wells at the county, state, and national scales was developed using As concentrations from 20,450 U.S. domestic wells. The population in the conterminous U.S. using water from domestic wells with predicted As concentration >10 µg/L is 2.1 million people (95% CI is 1.5 to 2.9 million). Although some parts of the U.S. were underrepresented with As data, predictive variables available in national data sets were used to estimate high As in unsampled areas. By predicting to all of the conterminous U.S., the investigators were able to identify areas of high and low potential exposure in areas of limited As data, which can be viewed as potential areas to investigate further or to compare to more detailed local information. This paper is Open Access at https://pubs.acs.org/doi/abs/10.1021/acs.est.7b02881.

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