Ruiz Marilyn O, Chaves Luis F, Hamer Gabriel L, Sun Ting, Brown William M, Walker Edward D, Haramis Linn, Goldberg Tony L, Kitron Uriel D
Department of Pathobiology, University of Illinois, Urbana, Illinois, USA.
Parasit Vectors. 2010 Mar 19;3(1):19. doi: 10.1186/1756-3305-3-19.
Models of the effects of environmental factors on West Nile virus disease risk have yielded conflicting outcomes. The role of precipitation has been especially difficult to discern from existing studies, due in part to habitat and behavior characteristics of specific vector species and because of differences in the temporal and spatial scales of the published studies. We used spatial and statistical modeling techniques to analyze and forecast fine scale spatial (2000 m grid) and temporal (weekly) patterns of West Nile virus mosquito infection relative to changing weather conditions in the urban landscape of the greater Chicago, Illinois, region for the years from 2004 to 2008.
Increased air temperature was the strongest temporal predictor of increased infection in Culex pipiens and Culex restuans mosquitoes, with cumulative high temperature differences being a key factor distinguishing years with higher mosquito infection and higher human illness rates from those with lower rates. Drier conditions in the spring followed by wetter conditions just prior to an increase in infection were factors in some but not all years. Overall, 80% of the weekly variation in mosquito infection was explained by prior weather conditions. Spatially, lower precipitation was the most important variable predicting stronger mosquito infection; precipitation and temperature alone could explain the pattern of spatial variability better than could other environmental variables (79% explained in the best model). Variables related to impervious surfaces and elevation differences were of modest importance in the spatial model.
Finely grained temporal and spatial patterns of precipitation and air temperature have a consistent and significant impact on the timing and location of increased mosquito infection in the northeastern Illinois study area. The use of local weather data at multiple monitoring locations and the integration of mosquito infection data from numerous sources across several years are important to the strength of the models presented. The other spatial environmental factors that tended to be important, including impervious surfaces and elevation measures, would mediate the effect of rainfall on soils and in urban catch basins. Changes in weather patterns with global climate change make it especially important to improve our ability to predict how inter-related local weather and environmental factors affect vectors and vector-borne disease risk.Local impact of temperature and precipitation on West Nile virus infection in Culex species mosquitoes in northeast Illinois, USA.
环境因素对西尼罗河病毒病风险影响的模型得出了相互矛盾的结果。降水的作用在现有研究中尤其难以辨别,部分原因在于特定病媒物种的栖息地和行为特征,以及已发表研究在时间和空间尺度上的差异。我们使用空间和统计建模技术,分析并预测了2004年至2008年伊利诺伊州大芝加哥地区城市景观中,与天气条件变化相关的西尼罗河病毒蚊感染的精细空间(2000米网格)和时间(每周)模式。
气温升高是致倦库蚊和环跗库蚊感染增加的最强时间预测因子,累积高温差异是区分蚊感染率和人类发病率较高年份与较低年份的关键因素。春季较干燥的条件,随后在感染增加前较为湿润的条件,在部分年份是影响因素,但并非所有年份都如此。总体而言,蚊感染每周变化的80%可由先前的天气条件解释。在空间上,降水量较低是预测蚊感染较强的最重要变量;单独的降水量和气温比其他环境变量能更好地解释空间变异模式(最佳模型中解释率为79%)。与不透水表面和海拔差异相关的变量在空间模型中重要性一般。
降水和气温的精细时空模式对伊利诺伊州东北部研究区域蚊感染增加的时间和地点有一致且显著的影响。在多个监测地点使用当地天气数据以及整合多年来自众多来源的蚊感染数据,对所呈现模型的效力很重要。其他往往重要的空间环境因素,包括不透水表面和海拔测量,会介导降雨对土壤和城市集水区的影响。全球气候变化导致的天气模式变化,使得提高我们预测相互关联的当地天气和环境因素如何影响病媒及病媒传播疾病风险的能力尤为重要。美国伊利诺伊州东北部温度和降水对库蚊属蚊子感染西尼罗河病毒的局部影响