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A dataset integrating water-related public health, social media, census, and administrative data in the United States

by: Cheng Wang; Richard Smith; Shawn McElmurry; Paul Kilgore

Publication date: 2020-07-19T16:12:08Z

This project presents a dataset that is assembled from multiple sources between 2013 and 2017, including contaminants in drinking water, cancer incidence rates, public perception of the relationship between water contaminants and cancer on Twitter, and census data covering the population living in the United States. The units of analysis are 3,219 counties and 33,144 zip codes. The users of this dataset can address model-driven questions regarding water contaminants and cancer incidence rates in a geographic area, as well as how water contaminant levels and cancer incidence rates are directly and indirectly influenced by local population, economic, and social characteristics.