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

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.

本项目构建了一套2013至2017年间多源整合的数据集，涵盖饮用水污染物含量、癌症发病率、Twitter平台上公众对饮用水污染物与癌症关联的认知，以及覆盖美国全域人口的普查数据。该数据集的分析单元为3219个县与33144个邮政编码区划。使用者可围绕地理区域内饮用水污染物与癌症发病率相关的模型驱动研究问题开展分析，亦可探究当地人口、经济与社会特征对饮用水污染物水平及癌症发病率的直接与间接影响。