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了解饮用水供应集水区中人类感染隐孢子虫的风险。

Understanding human infectious Cryptosporidium risk in drinking water supply catchments.

机构信息

South Australia Water Corporation, GPO Box 1751, Adelaide, South Australia, 5001, Australia.

South Australia Water Corporation, GPO Box 1751, Adelaide, South Australia, 5001, Australia.

出版信息

Water Res. 2018 Jul 1;138:282-292. doi: 10.1016/j.watres.2018.03.063. Epub 2018 Mar 27.

Abstract

Treating drinking water appropriately depends, in part, on the robustness of source water quality risk assessments, however quantifying the proportion of infectious, human pathogenic Cryptosporidium oocysts remains a significant challenge. We analysed 962 source water samples across nine locations to profile the occurrence, rate and timing of infectious, human pathogenic Cryptosporidium in surface waters entering drinking water reservoirs during rainfall-runoff conditions. At the catchment level, average infectivity over the four-year study period reached 18%; however, most locations averaged <5%. The maximum recorded infectivity fraction within a single rainfall runoff event was 65.4%, and was dominated by C. parvum. Twenty-two Cryptosporidium species and genotypes were identified using PCR-based molecular techniques; the most common being C. parvum, detected in 23% of water samples. Associations between landuse and livestock stocking characteristics with Cryptosporidium were determined using a linear mixed-effects model. The concentration of pathogens in water were significantly influenced by flow and dominance of land-use by commercial grazing properties (as opposed to lifestyle properties) in the catchment (p < 0.01). Inclusion of measured infectivity and human pathogenicity data into a quantitative microbial risk assessment (QMRA) could reduce the source water treatment requirements by up to 2.67 log removal values, depending on the catchment, and demonstrated the potential benefit of collating such data for QMRAs.

摘要

适当处理饮用水在一定程度上取决于水源水质风险评估的稳健性,然而,量化传染性、人类致病隐孢子虫卵囊的比例仍然是一个重大挑战。我们分析了 962 个水源样本,来自 9 个地点,以了解在降雨径流条件下进入饮用水水库的地表水的传染性、人类致病隐孢子虫的发生、速率和时间。在集水区层面,四年研究期间的平均感染率达到 18%;然而,大多数地点的平均水平<5%。单个降雨径流事件中记录的最大感染分数为 65.4%,主要由 C. parvum 引起。使用基于 PCR 的分子技术鉴定了 22 种隐孢子虫物种和基因型,最常见的是 C. parvum,在 23%的水样中检测到。线性混合效应模型确定了土地利用和牲畜饲养特征与隐孢子虫之间的关系。病原体在水中的浓度受到集水区中流量和商业放牧(相对于生活方式)土地利用主导地位的显著影响(p<0.01)。将测量的感染性和人类致病性数据纳入定量微生物风险评估(QMRA)中,根据集水区的不同,可将水源处理要求减少高达 2.67 个对数去除值,并证明了为 QMRA 收集此类数据的潜在好处。

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