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Cryptosporidium monitoring system at a water treatment plant, based on waterborne risk assessment

机译:基于水基风险评估的水处理厂的隐孢子虫监测系统

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The water volume required for daily monitoring of Cryptosporidium (which can statistically ensure an annual risk of infection below 101), was assessed by evaluating the applicability of the Poisson lognormal (PLN) distribution in microbial risk assessment. PLN showed as good a fit to the observed data as to the negative binomial distribution. From the estimated PLN distributions for the source and finished water, the efficacy of the oocyst removal by the conventional water treatment process was estimated to follow lognormal distribution (median = 3.16 log(10), 95% Cl = 4.27-2.05 log(10)). The 365 consecutive negative results of daily monitoring for 180 L of finished water were found to be statistically equivalent to the annual risk of infection below 10(-4). This research also suggested the possibility of applying a qualitative detection method, such as CC-PCR, as a routine monitoring method for the quantitative risk management.
机译:通过评估泊松对数正态分布(PLN)在微生物风险评估中的适用性,评估了每日监测隐孢子虫所需的水量(统计上可以确保每年的感染风险低于101)。 PLN显示出与负二项式分布非常吻合。根据估计的水源和最终水的PLN分布,通过常规水处理过程去除卵囊的功效估计遵循对数正态分布(中位数= 3.16 log(10),95%Cl = 4.27-2.05 log(10) )。每天对180升成品水进行连续365次监测,结果在统计学上等同于年感染风险低于10(-4)。这项研究还提出了将定性检测方法(如CC-PCR)用作定量风险管理的常规监测方法的可能性。

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