Lee Hu Suk, Nguyen-Viet Hung, Lee Mihye, Duc Phuc Pham, Grace Delia
International Livestock Research Institute, Hanoi, Vietnam.
Medical Microbiology Department, The Royal Bournemouth Hospital, Bournemouth, United Kingdom.
Am J Trop Med Hyg. 2017 Jan 11;96(1):110-117. doi: 10.4269/ajtmh.16-0471. Epub 2016 Oct 31.
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.
在越南,日本脑炎病毒在已确定的病原体中导致的病毒性脑炎(VE)病例占12% - 71%,其次是肠道病毒和登革热病毒。本研究首次尝试使用基于局部加权回归(loess regression)的季节性趋势分解程序和负二项回归模型,评估2004年至2013年期间两个省份VE的季节性及相关环境风险因素。我们发现了季节性规律,在山萝省和太平省,VE的发病高峰分别出现在8月和6月。在山萝省,模型显示平均每月气温每升高1°C,每月VE发病率就会增加4.0%。随着相对湿度上升至其平均值(80%),发病率逐渐下降;而当相对湿度超过80%时,发病率则急剧上升。另一个模型发现,前一个月和当月降水量每增加100毫米,VE发病率分别相应增加23%和21%。在太平省,我们的模型显示气温每升高1°C,VE发病率相应增加9%。另一个模型发现,随着月降水量上升至其130毫米的平均值,VE发病率增加,但降水量超过该值后则逐渐下降。最后一个模型显示,每月日照时长每增加1小时,VE发病率相应增加0.6%。这些发现可能通过改善诊断依据来帮助临床医生。