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沿俄亥俄河的胃肠道疾病和径流量的季节性模式。

Seasonal patterns of gastrointestinal illness and streamflow along the Ohio River.

机构信息

U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.

出版信息

Int J Environ Res Public Health. 2012 May;9(5):1771-90. doi: 10.3390/ijerph9051771. Epub 2012 May 7.

Abstract

Waterborne gastrointestinal (GI) illnesses demonstrate seasonal increases associated with water quality and meteorological characteristics. However, few studies have been conducted on the association of hydrological parameters, such as streamflow, and seasonality of GI illnesses. Streamflow is correlated with biological contamination and can be used as proxy for drinking water contamination. We compare seasonal patterns of GI illnesses in the elderly (65 years and older) along the Ohio River for a 14-year period (1991-2004) to seasonal patterns of streamflow. Focusing on six counties in close proximity to the river, we compiled weekly time series of hospitalizations for GI illnesses and streamflow data. Seasonal patterns were explored using Poisson annual harmonic regression with and without adjustment for streamflow. GI illnesses demonstrated significant seasonal patterns with peak timing preceding peak timing of streamflow for all six counties. Seasonal patterns of illness remain consistent after adjusting for streamflow. This study found that the time of peak GI illness precedes the peak of streamflow, suggesting either an indirect relationship or a more direct path whereby pathogens enter water supplies prior to the peak in streamflow. Such findings call for interdisciplinary research to better understand associations among streamflow, pathogen loading, and rates of gastrointestinal illnesses.

摘要

水传播胃肠道(GI)疾病与水质和气象特征有关,呈现季节性增加。然而,关于水文学参数(如流量)与 GI 疾病季节性之间的关联,研究甚少。流量与生物污染有关,可作为饮用水污染的替代指标。我们比较了俄亥俄河沿岸老年人(65 岁及以上)14 年(1991-2004 年)胃肠道疾病的季节性模式与流量的季节性模式。针对靠近河流的六个县,我们汇编了胃肠道疾病和流量数据的每周住院时间序列。使用泊松年度谐波回归,在有和没有流量调整的情况下,探讨了季节性模式。所有六个县的胃肠道疾病均表现出明显的季节性模式,其峰值时间先于流量的峰值时间。调整流量后,疾病的季节性模式仍然保持一致。本研究发现,胃肠道疾病的高峰期时间先于流量高峰期,这表明存在间接关系或更直接的途径,即病原体在流量高峰期之前进入供水系统。这些发现呼吁开展跨学科研究,以更好地了解流量、病原体负荷和胃肠道疾病发病率之间的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ec0/3386587/735d0fd5d25c/ijerph-09-01771-g001.jpg

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