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人腺病毒与欧洲休闲水中粪便指示生物的关系。

Relationships between human adenoviruses and faecal indicator organisms in European recreational waters.

机构信息

Institute of Geography and Earth Sciences, Aberystwyth University, Llandinam Building, Penglais, Aberystwyth, Ceredigion SY23 3DB, UK.

出版信息

Water Res. 2012 Sep 1;46(13):4130-41. doi: 10.1016/j.watres.2012.04.008. Epub 2012 Apr 19.

Abstract

Human adenoviruses (HAdV) may be implicated in some disease outbreaks associated with recreational water exposures, typically in swimming pools. Modern molecular methods can be used to detect HAdV in environmental water samples. During the EU FP6 Project VIROBATHE a database of over 290 HAdV analyses with corresponding faecal indicator organism (FIO) determinations was gathered and used to explore statistical associations between HAdV and FIO results. The FIOs measured were Escherichia coli, intestinal enterococci and somatic coliphage. Statistically significant trends of increasing proportions of HAdV-positive results in categories of increasing FIO concentration were found in freshwater but not seawater samples. The analysis of these trends in freshwater samples was refined, the trends remaining statistically significant when using categories of 0.5 log(10) intervals of FIO concentration. Logistic regression models were then developed to predict the probability of a HAdV-positive outcome from FIO concentration. Potential applications of these models to predict the probability of HAdV-positive outcomes from routine FIO determinations used to describe recreational water quality exposures and to classify recreational water quality are discussed.

摘要

人腺病毒(HAdV)可能与某些与娱乐性用水暴露相关的疾病爆发有关,通常是在游泳池中。现代分子方法可用于检测环境水样中的 HAdV。在欧盟第六框架计划 VIROBATHE 项目中,收集了超过 290 个 HAdV 分析及其相应的粪便指示生物(FIO)测定的数据库,并用于探索 HAdV 与 FIO 结果之间的统计关联。测量的 FIO 是大肠杆菌、肠道肠球菌和体细胞噬菌体。在淡水而不是海水中样本中,发现 HAdV 阳性结果比例随 FIO 浓度增加而呈递增趋势,且具有统计学意义。在对淡水样本进行分析时,当使用 FIO 浓度的 0.5 log(10) 间隔类别时,这些趋势仍然具有统计学意义。然后开发了逻辑回归模型,以从 FIO 浓度预测 HAdV 阳性结果的概率。讨论了这些模型在预测常规 FIO 测定中 HAdV 阳性结果的概率方面的潜在应用,该测定用于描述娱乐性用水质量暴露情况并对其进行分类。

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