Waterborne outbreaks of infectious disease continue to be a public health risk, particularly those in areas where testing of private and public small system groundwater systems is left to the owners/overseers of these wells who may not recognize the importance of testing and treatment. Recognizing factors associated with contamination of wells is important for public safety and can encourage well owners/overseers to test regularly and properly maintain drinking water supplies. Tests results for presence/absence of total coliforms and Escherichia coli for private and public untreated well water for the years 2010-2012 (n = 56,609) were provided by the Alberta Provincial Laboratory for Public Health. Tests were geolocated with the Alberta Township Survey System and aggregated to the quarter section. Agricultural independent variables were provided by the Canadian Agricultural Census and monthly cumulative precipitation was calculated using Alberta Agriculture and Forestry’s website of weather station data. Overall frequency of E. coli-positive wells in the study was 1.4%. A marginal multivariable logistic regression model was fit using generalized estimating equations to account for repeat testing of some quarter sections. Three significant factors associated with increased E. coli-positive untreated drinking water wells were identified: soil properties (KSat and sand content), animal density and monthly cumulative precipitation.

传染病的水源性暴发仍然是一种公共健康风险，尤其是在那些对私人和公共小型系统地下水系统进行测试的地区，这些井的所有者/监督者可能不了解测试和处理的重要性的地区。识别与井污染有关的因素对于公共安全很重要，并且可以鼓励井所有者/监督者定期测试并适当维护饮用水供应。测试总大肠菌群和大肠杆菌的存在/不存在的结果艾伯塔省公共卫生实验室为2010-2012年的私人和公共未经处理的井水（n = 56,609）供水。测试通过艾伯塔省城镇调查系统进行了地理定位，并汇总到了四分之一部分。农业独立变量由加拿大农业普查提供，每月累积降水量使用亚伯达农业和林业的气象站数据网站计算。该研究中大肠杆菌阳性孔的总频率为1.4％。使用广义估计方程拟合边际多变量logistic回归模型，以解决一些四分之一截面的重复测试。与大肠杆菌增加有关的三个重要因素鉴定了未经处理的阳性饮用水井：土壤性质（KSat和沙子含量），动物密度和每月累积降水量。