Department of Biology, University of New Mexico, Albuquerque, NM, United States; Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, United States; Department of Mathematics, Physics, and Statistics, University of the Sciences, Philadelphia, PA, United States.
Department of Pathobiology, Louisiana State University, Baton Rouge, LA, United States; Center for Computation and Technology, Louisiana State University, Baton Rouge, LA, United States.
Epidemics. 2019 Sep;28:100344. doi: 10.1016/j.epidem.2019.05.003. Epub 2019 Jun 5.
Tropical mosquito-borne viruses have been expanding into more temperate regions in recent decades. This is partly due to the coupled effects of temperature on mosquito life history traits and viral infection dynamics and warming surface temperatures, resulting in more suitable conditions for vectors and virus transmission. In this study, we use a deterministic ordinary differential equations model to investigate how seasonal and diurnal temperature fluctuations affect the potential for dengue transmission in six U.S. cities. We specifically consider temperature-dependent mosquito larval development, adult mosquito mortality, and the extrinsic incubation period of the virus. We show that the ability of introductions to lead to outbreaks depends upon the relationship between a city's temperature profile and the time of year at which the initial case is introduced. We also investigate how the potential for outbreaks changes with predicted future increases in mean temperatures due to climate change. We find that climate change will likely lead to increases in suitability for dengue transmission and will increase the periods of the year in which introductions may lead to outbreaks, particularly in cities that typically have mild winters and warm summers, such as New Orleans, Louisiana, and El Paso, Texas. We discuss our results in the context of temperature heterogeneity within and across cities and how these differences may impact the potential for dengue emergence given present day and predicted future temperatures.
近年来,热带蚊媒病毒不断向温带地区扩散。这部分是由于温度对蚊子生活史特征和病毒感染动态的耦合影响以及地表温度升高,导致媒介和病毒传播的条件更加适宜。在这项研究中,我们使用确定性常微分方程模型来研究季节性和昼夜温度波动如何影响美国六个城市登革热传播的潜力。我们特别考虑了温度依赖性的蚊子幼虫发育、成蚊死亡率和病毒的外潜伏期。我们表明,引入新的病毒株是否会导致疫情爆发取决于城市的温度曲线与初始病例引入时间之间的关系。我们还研究了由于气候变化导致的平均温度预测上升对疫情爆发潜力的影响。我们发现,气候变化可能会导致登革热传播的适宜性增加,并会增加每年可能导致疫情爆发的时间,特别是在那些冬季温和、夏季温暖的城市,如路易斯安那州的新奥尔良和德克萨斯州的埃尔帕索。我们根据城市内部和城市之间的温度异质性以及这些差异如何影响当前和预测未来温度下登革热出现的可能性,讨论了我们的研究结果。