Platonov Alexander E, Tolpin Vladimir A, Gridneva Kristina A, Titkov Anton V, Platonova Olga V, Kolyasnikova Nadezhda M, Busani Luca, Rezza Giovanni
Central Research Institute of Epidemiology, Novogireevskaya Street 3A, Moscow 111123, Russia.
Space Research Institute, Profsoyuznaya Street 84/32, Moscow 117997, Russia.
Int J Environ Res Public Health. 2014 Jan 23;11(2):1211-32. doi: 10.3390/ijerph110201211.
Since 1999, human cases of West Nile fever/neuroinvasive disease (WND) have been reported annually in Russia. The highest incidence has been recorded in three provinces of southern European Russia (Volgograd, Astrakhan and Rostov Provinces), yet in 2010-2012 the distribution of human cases expanded northwards considerably. From year to year, the number of WND cases varied widely, with major WND outbreaks in 1999, 2007, 2010, and 2012. The present study was aimed at identifying the most important climatic and environmental factors potentially affecting WND incidence in the three above-mentioned provinces and at building simple prognostic models, using those factors, by the decision trees method. The effects of 96 variables, including mean monthly temperature, relative humidity, precipitation, Normalized Difference Vegetation Index, etc. were taken into account. The findings of this analysis show that an increase of human WND incidence, compared to the previous year, was mostly driven by higher temperatures in May and/or in June, as well as (to a lesser extent) by high August-September temperatures. Declining incidence was associated with cold winters (December and/or January, depending on the region and type of model). WND incidence also tended to decrease during year following major WND outbreaks. Combining this information, the future trend of WND may be, to some extent, predicted, in accordance with the climatic conditions observed before the summer peak of WND incidence.
自1999年以来,俄罗斯每年都报告有人类感染西尼罗河热/神经侵袭性疾病(WND)的病例。俄罗斯欧洲部分南部的三个省份(伏尔加格勒、阿斯特拉罕和罗斯托夫省)的发病率最高,但在2010 - 2012年期间,人类病例的分布大幅向北扩展。每年WND病例数差异很大,1999年、2007年、2010年和2012年出现了主要的WND疫情。本研究旨在确定可能影响上述三个省份WND发病率的最重要气候和环境因素,并使用这些因素通过决策树方法建立简单的预测模型。考虑了96个变量的影响,包括月平均温度、相对湿度、降水量、归一化植被指数等。该分析结果表明,与上一年相比,人类WND发病率的增加主要是由5月和/或6月的较高温度以及(在较小程度上)8 - 9月的高温驱动的。发病率下降与寒冷的冬季(12月和/或1月,取决于地区和模型类型)有关。在主要WND疫情爆发后的年份,WND发病率也往往会下降。综合这些信息,可以根据WND发病率夏季高峰前观察到的气候条件,在一定程度上预测WND的未来趋势。