首页> 美国卫生研究院文献>The American Journal of Tropical Medicine and Hygiene >Seasonality of Viral Encephalitis and Associated Environmental Risk Factors in Son La and Thai Binh Provinces in Vietnam from 2004 to 2013
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Seasonality of Viral Encephalitis and Associated Environmental Risk Factors in Son La and Thai Binh Provinces in Vietnam from 2004 to 2013

机译:2004年至2013年越南Son La和Thai Binh省的病毒性脑炎的季节性和相关的环境危险因素

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摘要

In Vietnam, Japanese encephalitis virus accounts for 12–71% of viral encephalitis (VE) cases followed by enteroviruses and dengue virus among identified pathogens. This study is the first attempt to evaluate the seasonality of VE and associated environmental risk factors in two provinces from 2004 to 2013 using a seasonal trend-decomposition procedure based on loess regression and negative binomial regression models. We found seasonality with a peak of VE in August and June in Son La and Thai Binh, respectively. In Son La, the model showed that for every 1°C increase in average monthly temperature, there was a 4.0% increase in monthly VE incidence. There was a gradual decline in incidence rates as the relative humidity rose to its mean value (80%) and a dramatic rise in incidence rate as the relative humidity rose past 80%. Another model found that a 100 mm rise in precipitation in the preceding and same months corresponded to an increase in VE incidence of 23% and 21%, respectively. In Thai Binh, our model showed that a 1°C increase in temperature corresponded with a 9% increase in VE incidence. Another model found that VE incidence increased as monthly precipitation rose to its mean value of 130 mm but declined gradually as precipitation levels rose beyond that. The last model showed that a monthly increase in duration of sunshine of 1 hour corresponded to a 0.6% increase in VE incidence. The findings may assist clinicians by improving the evidence for diagnosis.
机译:在越南,在确定的病原体中,日本脑炎病毒占病毒性脑炎(VE)病例的12–71%,其次是肠病毒和登革热病毒。这项研究是首次尝试使用基于黄土回归和负二项式回归模型的季节趋势分解程序来评估2004年至2013年两个省的VE的季节性和相关的环境风险因素。我们发现季节性变化,分别在Son La和Thai Binh出现了VE高峰。该模型显示,在Son La,每月平均气温每升高1°C,每月VE发生率就会增加4.0%。随着相对湿度上升到其平均值(80%),发病率逐渐下降,而当相对湿度超过80%时,发病率急剧上升。另一个模型发现,在前一个月和相同月份,降水量增加100 mm分别对应于VE发生率增加23%和21%。在Thai Binh,我们的模型显示,温度每升高1°C,VE发生率增加9%。另一个模型发现,VE的发生随着月降水量增加到其平均值130 mm而增加,但随着降水量的增加而逐渐下降。最后一个模型显示,日照时间每月增加1小时,相当于VE发生率增加0.6%。这些发现可能会通过改善诊断证据来帮助临床医生。

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