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Variables used as input to a logistic regression model to estimate high-arsenic domestic-well population in the conterminous United States, 1970 through 2013

Dates

Publication Date
Start Date
1970
End Date
2013

Citation

Ayotte, J.D., Medalie, Laura, and Qi, S.L., 2017, Estimated county level domestic well population with arsenic greater than 10 micrograms per liter based on probability estimates for the conterminous U.S.: U.S. Geological Survey data release, https://doi.org/10.5066/F7CN724V.

Summary

Approximately 44.1 million people (about 14 percent of the U.S. population) rely on domestic wells as their source of drinking water. Unlike community water systems, which are regulated by the Safe Drinking Water Act, there is no comprehensive national program for testing domestic well water to ensure that is it safe to drink. There are many activities, e.g., resource extraction, climate change-induced drought, and changes in land use patterns that could potentially affect the quality of the ground water source for domestic wells. The Health Studies Branch (HSB) of the National Center for Environmental Health, Centers for Disease Control and Prevention, created a Clean Water for Health Program to help address domestic well concerns. [...]

Contacts

Point of Contact :
Joseph D Ayotte
Originator :
Joseph D Ayotte, Laura Medalie, Sharon L Qi
Metadata Contact :
Laura Medalie
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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As_model_input_variables.csv 3.34 MB

Purpose

This dataset is used as input to a national logistic regression model that predicts the probability of arsenic greater than 10 micrograms per liter in domestic wells.

Map

Spatial Services

ScienceBase WMS

Communities

  • John Wesley Powell Center for Analysis and Synthesis
  • USGS Data Release Products

Tags

Provenance

Data source
Input directly

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