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Evaluation of public health risks at recreational beaches in Lake Michigan via detection of enteric viruses and a human-specific bacteriological marker

机译:通过检测肠病毒和人类特异性细菌标记物评估密歇根湖休闲海滩的公共健康风险

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摘要

Each year the National Resource Defense Council addresses the quality of US beaches by routine bacterial indicators. In the Great Lakes region the indicator used is Escherichia coli and for 2007 more beaches were closed and impacted than ever before. In this study, water quality was addressed at two Lake Michigan Beaches over the 2004 swimming season by monitoring infectious enteric viruses by cell culture and integrated PCR and for a human sewage marker based on the Enterococcal Surface Protein (esp). Our goals for this study were to 1) examine the occurrence and variety of human enteric viruses present during peak usage of the beaches 2) determine key variables for development of predictive models for viruses; and 3) use quantitative risk assessment to estimate the potential health impact. Our results demonstrate that for both beaches predictive models of virus pollution were best described utilizing physical parameters like wind speed, wind direction and water temperature. The esp marker was not predictive of human viruses. The daily risk of acquiring a viral infection at either of the beaches ranged from 0.2 to 2.4/1000 swimmers using a quantitative microbial risk assessment model, with three swims during a day at the beach for children and over the season, the risk was 9-15/1000 swimmers using adenovirus as the model.rnConclusions: Lake Michigan recreational beaches are being adversely impacted by human fecal pollution. Monitoring for the traditional indicators of water quality does not address viral risks and models can be developed and potentially used as real-time water quality forecasting tools.
机译:每年,美国国家资源保护委员会都会通过常规细菌指标来评估美国海滩的质量。在大湖区,使用的指标是大肠埃希菌,2007年,关闭和受影响的海滩比以往任何时候都要多。在这项研究中,2004年游泳季节的两个密歇根湖海滩水质得到解决,方法是通过细胞培养和集成PCR监测传染性肠道病毒,并检测基于肠球菌表面蛋白(esp)的人类排泄标记。我们这项研究的目标是:1)检查海滩高峰使用期间人类肠道病毒的发生和种类2)确定开发病毒预测模型的关键变量; 3)使用定量风险评估来估计潜在的健康影响。我们的结果表明,对于这两个海滩,利用诸如风速,风向和水温等物理参数,可以最好地描述病毒污染的预测模型。 esp标记不能预测人类病毒。使用定量微生物风险评估模型,在任何一个海滩上发生病毒感染的每日风险范围为0.2到2.4 / 1000个游泳者,儿童每天在海滩上游泳3次,整个季节中,该风险为9- 15/1000名游泳者使用腺病毒作为模型。结论:密歇根湖的休闲海滩受到人类粪便污染的不利影响。监测传统的水质指标不能解决病毒性风险,可以开发模型并将其用作实时水质预测工具。

著录项

  • 来源
    《Water Research》 |2009年第4期|1137-1149|共13页
  • 作者单位

    Department of Crops and Soil Sciences, A570 Plant and Soil Sciences Building, Michigan State University, East Lansing, MI 48824, USA;

    3 Natural Resources Building, Michigan State University, East Lansing, MI 48824, USA;

    G11 BVC Breathitt Veterinary Center, Murray State University, Murray, KY 42071, USA;

    A136 Engineering Research Complex, Michigan State University, East Lansing, MI 48824, USA;

    A130 Engineering Research Complex, Michigan State University, East Lansing, MI 48824, USA;

    3 Natural Resources Building, Michigan State University, East Lansing, MI 48824, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    water quality; monitoring; predictive models; waterborne pathogens; fecal pollutants; indicators;

    机译:水质;监控;预测模型;水性病原体;粪便污染物指标;
  • 入库时间 2022-08-17 13:50:56

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