首页> 外文期刊>Medical and Veterinary Entomology >Modelling the distributions and spatial coincidence of bluetongue vectors Culicoides imicola and the Culicoides obsoletus group throughout the Iberian peninsula.
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Modelling the distributions and spatial coincidence of bluetongue vectors Culicoides imicola and the Culicoides obsoletus group throughout the Iberian peninsula.

机译:对整个伊比利亚半岛上的蓝舌虫Culicoides imicola和Culicoides obsoletus组的分布和空间重合进行建模。

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摘要

Data obtained by a Spanish national surveillance programme in 2005 were used to develop climatic models for predictions of the distribution of the bluetongue virus (BTV) vectors Culicoides imicola Kieffer (Diptera: Ceratopogonidae) and the Culicoides obsoletus group Meigen throughout the Iberian peninsula. Models were generated using logistic regression to predict the probability of species occurrence at an 8-km spatial resolution. Predictor variables included the annual mean values and seasonalities of a remotely sensed normalized difference vegetation index (NDVI), a sun index, interpolated precipitation and temperature. Using an information-theoretic paradigm based on Akaike's criterion, a set of best models accounting for 95% of model selection certainty were selected and used to generate an average predictive model for each vector. The predictive performances (i.e. the discrimination capacity and calibration) of the average models were evaluated by both internal and external validation. External validation was achieved by comparing average model predictions with surveillance programme data obtained in 2004 and 2006. The discriminatory capacity of both models was found to be reasonably high. The estimated areas under the receiver operating characteristic (ROC) curve (AUC) were 0.78 and 0.70 for the C. imicola and C. obsoletus group models, respectively, in external validation, and 0.81 and 0.75, respectively, in internal validation. The predictions of both models were in close agreement with the observed distribution patterns of both vectors. Both models, however, showed a systematic bias in their predicted probability of occurrence: observed occurrence was systematically overestimated for C. imicola and underestimated for the C. obsoletus group. Average models were used to determine the areas of spatial coincidence of the two vectors. Although their spatial distributions were highly complementary, areas of spatial coincidence were identified, mainly in Portugal and in the southwest of peninsular Spain. In a hypothetical scenario in which both Culicoides members had similar vectorial capacity for a BTV strain, these areas should be considered of special epidemiological concern because any epizootic event could be intensified by consecutive vector activity developed for both species during the year; consequently, the probability of BTV spreading to remaining areas occupied by both vectors might also be higher.
机译:西班牙国家监测计划在2005年获得的数据被用于开发气候模型,以预测整个伊比利亚半岛上的蓝舌病病毒(BTV)载体Culicoides imicola Kieffer(Diptera:Ceratopogonidae)和Culicoides过时组Meigen的分布。使用逻辑回归生成模型,以在8 km空间分辨率下预测物种发生的可能性。预测变量包括遥感标准化归一化植被指数(NDVI)的年平均值和季节性,太阳指数,内插降水量和温度。使用基于Akaike准则的信息理论范式,选择了一组占模型选择确定性95%的最佳模型,并将其用于为每个向量生成平均预测模型。通过内部和外部验证来评估平均模型的预测性能(即判别能力和校准)。通过将平均模型预测与2004年和2006年获得的监视程序数据进行比较,实现了外部验证。发现这两种模型的判别能力都相当高。在外部验证中,C。imicola和C. obsoletus组模型在接收器工作特性(ROC)曲线(AUC)下的估计面积分别为0.78和0.70,在内部验证中分别为0.81和0.75。两种模型的预测与两种载体的观察分布模式非常吻合。但是,这两种模型在预测的发生概率上都显示出系统的偏差:观察到的发生被系统地高估了imi C. imicola,而被低估了废弃的C. obsoletus组。使用平均模型来确定两个向量的空间重合区域。尽管它们的空间分布高度互补,但已确定了空间重合的区域,主要在葡萄牙和西班牙半岛的西南部。在一个假设场景中,两个库蚊成员对BTV株具有相似的矢量能力,这些区域应被视为特别流行病学方面的关注问题,因为在这一年中,针对这两个物种开发的连续媒介活动可能会加剧任何流行病事件;因此,BTV传播到两个向量所占据的剩余区域的可能性也可能更高。

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