Literature DB >> 29043784

Estimating the High-Arsenic Domestic-Well Population in the Conterminous United States.

Joseph D Ayotte1, Laura Medalie2, Sharon L Qi3, Lorraine C Backer4, Bernard T Nolan5.   

Abstract

Arsenic concentrations from 20 450 domestic wells in the U.S. were used to develop a logistic regression model of the probability of having arsenic >10 μg/L ("high arsenic"), which is presented at the county, state, and national scales. Variables representing geologic sources, geochemical, hydrologic, and physical features were among the significant predictors of high arsenic. For U.S. Census blocks, the mean probability of arsenic >10 μg/L was multiplied by the population using domestic wells to estimate the potential high-arsenic domestic-well population. Approximately 44.1 M people in the U.S. use water from domestic wells. The population in the conterminous U.S. using water from domestic wells with predicted arsenic concentration >10 μg/L is 2.1 M people (95% CI is 1.5 to 2.9 M). Although areas of the U.S. were underrepresented with arsenic data, predictive variables available in national data sets were used to estimate high arsenic in unsampled areas. Additionally, by predicting to all of the conterminous U.S., we identify areas of high and low potential exposure in areas of limited arsenic data. These areas may be viewed as potential areas to investigate further or to compare to more detailed local information. Linking predictive modeling to private well use information nationally, despite the uncertainty, is beneficial for broad screening of the population at risk from elevated arsenic in drinking water from private wells.

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Year:  2017        PMID: 29043784      PMCID: PMC8842838          DOI: 10.1021/acs.est.7b02881

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  29 in total

1.  Modeling the probability of arsenic in groundwater in New England as a tool for exposure assessment.

Authors:  Joseph D Ayotte; Bernard T Nolan; John R Nuckols; Kenneth P Cantor; Gilpin R Robinson; Dalsu Baris; Laura Hayes; Margaret Karagas; William Bress; Debra T Silverman; Jay H Lubin
Journal:  Environ Sci Technol       Date:  2006-06-01       Impact factor: 9.028

2.  Vulnerability of shallow groundwater and drinking-water wells to nitrate in the United States.

Authors:  Bernard T Nolan; Kerie J Hitt
Journal:  Environ Sci Technol       Date:  2006-12-15       Impact factor: 9.028

3.  Bladder cancer mortality and private well use in New England: an ecological study.

Authors:  Joseph D Ayotte; Dalsu Baris; Kenneth P Cantor; Joanne Colt; Gilpin R Robinson; Jay H Lubin; Margaret Karagas; Robert N Hoover; Joseph F Fraumeni; Debra T Silverman
Journal:  J Epidemiol Community Health       Date:  2006-02       Impact factor: 3.710

4.  Standardizing the power of the Hosmer-Lemeshow goodness of fit test in large data sets.

Authors:  Prabasaj Paul; Michael L Pennell; Stanley Lemeshow
Journal:  Stat Med       Date:  2012-07-26       Impact factor: 2.373

5.  Can arsenic occurrence rates in bedrock aquifers be predicted?

Authors:  Qiang Yang; Hun Bok Jung; Robert G Marvinney; Charles W Culbertson; Yan Zheng
Journal:  Environ Sci Technol       Date:  2012-02-09       Impact factor: 9.028

Review 6.  Occurrence and treatment of arsenic in groundwater and soil in northern Mexico and southwestern USA.

Authors:  Lucy Mar Camacho; Mélida Gutiérrez; Maria Teresa Alarcón-Herrera; Maria de Lourdes Villalba; Shuguang Deng
Journal:  Chemosphere       Date:  2011-01-08       Impact factor: 7.086

7.  Arsenic in glacial drift aquifers and the implication for drinking water--lower Illinois River Basin.

Authors:  K L Warner
Journal:  Ground Water       Date:  2001 May-Jun       Impact factor: 2.671

8.  Statistical modeling of global geogenic arsenic contamination in groundwater.

Authors:  Manouchehr Amini; Karim C Abbaspour; Michael Berg; Lenny Winkel; Stephan J Hug; Eduard Hoehn; Hong Yang; C Annette Johnson
Journal:  Environ Sci Technol       Date:  2008-05-15       Impact factor: 9.028

9.  Elevated Bladder Cancer in Northern New England: The Role of Drinking Water and Arsenic.

Authors:  Dalsu Baris; Richard Waddell; Laura E Beane Freeman; Molly Schwenn; Joanne S Colt; Joseph D Ayotte; Mary H Ward; John Nuckols; Alan Schned; Brian Jackson; Castine Clerkin; Nathaniel Rothman; Lee E Moore; Anne Taylor; Gilpin Robinson; Gm Monawar Hosain; Karla R Armenti; Richard McCoy; Claudine Samanic; Robert N Hoover; Joseph F Fraumeni; Alison Johnson; Margaret R Karagas; Debra T Silverman
Journal:  J Natl Cancer Inst       Date:  2016-05-02       Impact factor: 13.506

10.  Contrasting regional and national mechanisms for predicting elevated arsenic in private wells across the United States using classification and regression trees.

Authors:  Logan Frederick; James VanDerslice; Marissa Taddie; Kristen Malecki; Josh Gregg; Nicholas Faust; William P Johnson
Journal:  Water Res       Date:  2016-01-13       Impact factor: 11.236

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  50 in total

1.  Improve private well testing outreach efficiency by targeting households based on proximity to a high arsenic well.

Authors:  Sara V Flanagan; Nicholas A Procopio; Steven E Spayd; Jessie A Gleason; Yan Zheng
Journal:  Sci Total Environ       Date:  2020-05-25       Impact factor: 7.963

2.  Health protective behavior following required arsenic testing under the New Jersey Private Well Testing Act.

Authors:  Sara V Flanagan; Jessie A Gleason; Steven E Spayd; Nicholas A Procopio; Megan Rockafellow-Baldoni; Stuart Braman; Steven N Chillrud; Yan Zheng
Journal:  Int J Hyg Environ Health       Date:  2018-06-06       Impact factor: 5.840

3.  Non-monotonic dose-response effects of arsenic on glucose metabolism.

Authors:  Yingyun Gong; Jidong Liu; Yanfeng Xue; Zhong Zhuang; Sichong Qian; Wenjun Zhou; Xin Li; Justin Qian; Guolian Ding; Zheng Sun
Journal:  Toxicol Appl Pharmacol       Date:  2019-06-03       Impact factor: 4.219

4.  Arsenic-induced metabolic shift triggered by the loss of miR-199a-5p through Sp1-dependent DNA methylation.

Authors:  Jun He; Weitao Liu; Xin Ge; Gao-Chan Wang; Vilas Desai; Shaomin Wang; Wei Mu; Vikas Bhardwaj; Erin Seifert; Ling-Zhi Liu; Alok Bhushan; Stephen C Peiper; Bing-Hua Jiang
Journal:  Toxicol Appl Pharmacol       Date:  2019-06-03       Impact factor: 4.219

5.  Overexpression of hsa-miR-186 induces chromosomal instability in arsenic-exposed human keratinocytes.

Authors:  Jiguo Wu; Ana P Ferragut Cardoso; Vanessa A R States; Laila Al-Eryani; Mark Doll; Sandra S Wise; Shesh N Rai; J Christopher States
Journal:  Toxicol Appl Pharmacol       Date:  2019-06-06       Impact factor: 4.219

6.  Individual species and cumulative mixture relationships of 24-hour urine metal concentrations with DNA methylation age variables in older men.

Authors:  Jamaji C Nwanaji-Enwerem; Elena Colicino; Aaron J Specht; Xu Gao; Cuicui Wang; Pantel Vokonas; Marc G Weisskopf; Edward W Boyer; Andrea A Baccarelli; Joel Schwartz
Journal:  Environ Res       Date:  2020-04-25       Impact factor: 6.498

Review 7.  Arsenic-Induced Carcinogenesis: The Impact of miRNA Dysregulation.

Authors:  Ana P Ferragut Cardoso; Laila Al-Eryani; J Christopher States
Journal:  Toxicol Sci       Date:  2018-10-01       Impact factor: 4.849

8.  Dietary determinants of inorganic arsenic exposure in the Strong Heart Family Study.

Authors:  Anne E Nigra; Pablo Olmedo; Maria Grau-Perez; Rae O'Leary; Marcia O'Leary; Amanda M Fretts; Jason G Umans; Lyle G Best; Kevin A Francesconi; Walter Goessler; Shelley A Cole; Ana Navas-Acien
Journal:  Environ Res       Date:  2019-08-01       Impact factor: 6.498

9.  Reconnaissance of Mixed Organic and Inorganic Chemicals in Private and Public Supply Tapwaters at Selected Residential and Workplace Sites in the United States.

Authors:  Paul M Bradley; Dana W Kolpin; Kristin M Romanok; Kelly L Smalling; Michael J Focazio; Juliane B Brown; Mary C Cardon; Kurt D Carpenter; Steven R Corsi; Laura A DeCicco; Julie E Dietze; Nicola Evans; Edward T Furlong; Carrie E Givens; James L Gray; Dale W Griffin; Christopher P Higgins; Michelle L Hladik; Luke R Iwanowicz; Celeste A Journey; Kathryn M Kuivila; Jason R Masoner; Carrie A McDonough; Michael T Meyer; James L Orlando; Mark J Strynar; Christopher P Weis; Vickie S Wilson
Journal:  Environ Sci Technol       Date:  2018-11-21       Impact factor: 9.028

10.  Zinc deficiency alters the susceptibility of pancreatic beta cells (INS-1) to arsenic exposure.

Authors:  Annie L Cao; Laura M Beaver; Carmen P Wong; Laurie G Hudson; Emily Ho
Journal:  Biometals       Date:  2019-09-21       Impact factor: 2.949

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