Kunkel Kenneth E, Novak Robert J, Lampman Richard L, Gu Weidong
Illinois State Water Survey, Champaign, Illinois, USA.
Am J Trop Med Hyg. 2006 Jan;74(1):168-73.
The aim of this study was to model the impact of temperature on the timing of the seasonal shift in relative proportion of Culex restuans Theobald and Culex pipiens L. in Illinois. The temporal pattern of West Nile virus (WNV) and St. Louis encephalitis virus transmission in the midwest exhibits a late summer to early fall peak in activity, which parallels the temporal increase in the abundance of Cx. pipiens. The daily number of egg rafts oviposited by each species has been monitored at multiple surveillance sites in Urbana-Champaign in central Illinois for more than 13 years. The time when the two Culex species are in equal abundance (crossover) varies considerably from year to year. Our investigation of several thermal measures indicated that this variation was related in large part to climatic conditions with warmer (cooler) temperatures correlated to earlier (later) crossover dates. Models based on degree days and the number of days in which the daily maximum temperature exceeded an upper temperature threshold explained more than 60% of the variance in crossover dates. In contrast, models based on the number of days in which the daily minimum temperature exceeded a lower temperature threshold explained no more than 52% of the variance. An evaluation of these models demonstrated that they provide relatively simple and accurate estimates of crossover date from daily temperature data, a necessary component for developing an overall climatic index for the risk of WNV transmission in Illinois.
本研究的目的是模拟温度对伊利诺伊州雷氏库蚊(Culex restuans Theobald)和致倦库蚊(Culex pipiens L.)相对比例季节性变化时间的影响。中西部地区西尼罗河病毒(WNV)和圣路易斯脑炎病毒传播的时间模式呈现出夏末至秋初的活动高峰,这与致倦库蚊数量的季节性增加相平行。在伊利诺伊州中部厄巴纳 - 香槟市的多个监测点,对这两个物种每天产卵筏的数量进行了超过13年的监测。这两种库蚊数量相等(交叉)的时间每年差异很大。我们对几种热指标的研究表明,这种差异在很大程度上与气候条件有关,温度较高(较低)与交叉日期较早(较晚)相关。基于度日数以及日最高温度超过温度上限阈值天数的模型,解释了交叉日期方差的60%以上。相比之下,基于日最低温度超过温度下限阈值天数的模型,解释的方差不超过52%。对这些模型的评估表明,它们能够根据每日温度数据相对简单且准确地估计交叉日期,这是制定伊利诺伊州西尼罗河病毒传播风险总体气候指数的必要组成部分。