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

Seasonal patterns of gastrointestinal illness and streamflow along the Ohio River.
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DOI:
10.3390/ijerph9051771
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发表时间:
2012-05
影响因子:
--
通讯作者:
Naumova EN
Naumova EN
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Jagai JS;Griffiths JK;Kirshen PK;Webb P;Naumova EN

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水传播的胃肠道疾病显示出与水质和气象特征相关的季节性增加。然而,很少有研究已经进行了水文参数,如径流,胃肠道疾病的季节性的关联。径流与生物污染相关,可用作饮用水污染的代理。我们比较了沿着俄亥俄州河14年(1991-2004年)的老年人(65岁及以上)的胃肠道疾病的季节性模式的径流。我们以靠近河流的六个县为重点,编制了每周因胃肠道疾病住院的时间序列和流量数据。季节性模式进行了探讨,使用泊松年度谐波回归和流量调整。胃肠道疾病表现出显着的季节性模式与高峰时间之前的流量高峰时间为所有六个县。疾病的季节性模式在调整流量后保持一致。这项研究发现,胃肠道疾病的高峰时间之前的流量峰值,这表明无论是间接的关系或更直接的路径,即病原体进入供水之前的流量峰值。这些发现要求进行跨学科研究,以更好地了解水流、病原体负荷和胃肠道疾病发病率之间的关系。
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.
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