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The impact of temperature changes on vector-borne disease transmission: Culicoides midges and bluetongue virus

机译:温度变化对媒介传播疾病传播的影响:库蚊和蓝舌病毒

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摘要

It is a long recognized fact that climatic variations, especially temperature, affect the life history of biting insects. This is particularly important when considering vector-borne diseases, especially in temperate regions where climatic fluctuations are large. In general, it has been found that most biological processes occur at a faster rate at higher temperatures, although not all processes change in the same manner. This differential response to temperature, often considered as a trade-off between onward transmission and vector life expectancy, leads to the total transmission potential of an infected vector being maximized at intermediate temperatures. Here we go beyond the concept of a static optimal temperature, and mathematically model how realistic temperature variation impacts transmission dynamics. We use bluetongue virus (BTV), under UK temperatures and transmitted by Culicoides midges, as a well-studied example where temperature fluctuations play a major role. We first consider an optimal temperature profile that maximizes transmission, and show that this is characterized by a warm day to maximize biting followed by cooler weather to maximize vector life expectancy. This understanding can then be related to recorded representative temperature patterns for England, the UK region which has experienced BTV cases, allowing us to infer historical transmissibility of BTV, as well as using forecasts of climate change to predict future transmissibility. Our results show that when BTV first invaded northern Europe in 2006 the cumulative transmission intensity was higher than any point in the last 50 years, although with climate change such high risks are the expected norm by 2050. Such predictions would indicate that regular BTV epizootics should be expected in the UK in the future.
机译:长期以来公认的事实是,气候变化(尤其是温度)会影响叮咬昆虫的生活史。这在考虑病媒传播疾病时尤其重要,尤其是在气候波动较大的温带地区。通常,已经发现,尽管并非所有过程都以相同的方式发生变化,但大多数生物过程在较高温度下均以更快的速度发生。这种对温度的差异响应(通常被视为向前传播和载体预期寿命之间的折衷)导致被感染载体的总传播潜力在中间温度下达到最大。在这里,我们超越了静态最佳温度的概念,并在数学上模拟实际温度变化如何影响传输动力学。我们在英国温度下使用蓝舌病病毒(BTV),并通过Culicoides ges虫传播,作为一个经过充分研究的例子,其中温度波动起着主要作用。我们首先考虑使传播最大化的最佳温度曲线,并表明其特征是温暖的日子使叮咬最大化,其次是凉爽的天气使载体的预期寿命最大化。然后,可以将这种理解与记录在英国的经历过BTV案例的英国地区的典型温度模式相关,从而使我们能够推断BTV的历史可传播性,以及使用气候变化的预测来预测未来的可传播性。我们的结果表明,当BTV于2006年首次入侵北欧时,累积的传播强度高于过去50年中的任何一点,尽管随着气候变化,到2050年这种高风险是预期的常态。此类预测表明,常规BTV流行病应有望在未来的英国。

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