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温度通过对繁殖数和世代间隔的影响来调节登革热病毒的流行增长率。

Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals.

作者信息

Siraj Amir S, Oidtman Rachel J, Huber John H, Kraemer Moritz U G, Brady Oliver J, Johansson Michael A, Perkins T Alex

机构信息

Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, Notre Dame, United States of America.

Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, United States of America.

出版信息

PLoS Negl Trop Dis. 2017 Jul 19;11(7):e0005797. doi: 10.1371/journal.pntd.0005797. eCollection 2017 Jul.

Abstract

Epidemic growth rate, r, provides a more complete description of the potential for epidemics than the more commonly studied basic reproduction number, R0, yet the former has never been described as a function of temperature for dengue virus or other pathogens with temperature-sensitive transmission. The need to understand the drivers of epidemics of these pathogens is acute, with arthropod-borne virus epidemics becoming increasingly problematic. We addressed this need by developing temperature-dependent descriptions of the two components of r-R0 and the generation interval-to obtain a temperature-dependent description of r. Our results show that the generation interval is highly sensitive to temperature, decreasing twofold between 25 and 35°C and suggesting that dengue virus epidemics may accelerate as temperatures increase, not only because of more infections per generation but also because of faster generations. Under the empirical temperature relationships that we considered, we found that r peaked at a temperature threshold that was robust to uncertainty in model parameters that do not depend on temperature. Although the precise value of this temperature threshold could be refined following future studies of empirical temperature relationships, the framework we present for identifying such temperature thresholds offers a new way to classify regions in which dengue virus epidemic intensity could either increase or decrease under future climate change.

摘要

流行增长率r比更常研究的基本再生数R0能更全面地描述流行病的潜在发展情况,然而对于登革热病毒或其他传播受温度影响的病原体,前者从未被描述为温度的函数。由于节肢动物传播的病毒流行问题日益严重,迫切需要了解这些病原体流行的驱动因素。我们通过建立r的两个组成部分——R0和世代间隔——与温度的关系来满足这一需求,从而得到r与温度的关系。我们的结果表明,世代间隔对温度高度敏感,在25至35°C之间减半,这表明随着温度升高,登革热病毒流行可能加速,不仅因为每代感染更多,还因为代际更替更快。在我们考虑的经验温度关系下,我们发现r在一个温度阈值处达到峰值,该阈值对不依赖于温度的模型参数的不确定性具有鲁棒性。尽管这个温度阈值的精确值可在未来对经验温度关系的研究后加以完善,但我们提出的识别此类温度阈值的框架提供了一种新方法,用于对登革热病毒流行强度在未来气候变化下可能增加或减少的区域进行分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8df/5536440/5ad47d56004b/pntd.0005797.g001.jpg

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