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Development of a mechanistic dengue simulation model for Guangzhou

机译:广州机械登革热仿真模型的建立

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摘要

Dengue infection in China has increased dramatically in recent years. Guangdong province (main city Guangzhou) accounted for more than 94% of all dengue cases in the 2014 outbreak. Currently, there is no existing effective vaccine and most efforts of control are focused on the vector itself. This study aimed to evaluate different dengue management strategies in a region where this disease is emerging. This work was done by establishing a dengue simulation model for Guangzhou to enable the testing of control strategies aimed at vector control and vaccination. For that purpose, the computer-based dengue simulation model (DENSiM) together with the Container-Inhabiting Mosquito Simulation Model (CIMSiM) has been used to create a working dengue simulation model for the city of Guangzhou. In order to achieve the best model fit against historical surveillance data, virus introduction scenarios were run and then matched against the actual dengue surveillance data. The simulation model was able to predict retrospective outbreaks with a sensitivity of 0.18 and a specificity of 0.98. This new parameterisation can now be used to evaluate the potential impact of different control strategies on dengue transmission in Guangzhou. The knowledge generated from this research would provide useful information for authorities regarding the historic patterns of dengue outbreaks, as well as the effectiveness of different disease management strategies.
机译:近年来,中国的登革热感染急剧增加。 2014年爆发的登革热病例中,广东省(主要城市广州)占所有登革热病例的94%以上。当前,没有有效的疫苗,大多数控制工作都集中在载体本身上。这项研究旨在评估该疾病正在出现的地区的不同登革热治疗策略。通过为广州建立登革热模拟模型来完成这项工作,以测试针对媒介控制和疫苗接种的控制策略。为此,基于计算机的登革热仿真模型(DENSiM)与集装箱居住的蚊子仿真模型(CIMSiM)一起用于创建广州市的工作登革热仿真模型。为了获得适合历史监视数据的最佳模型,运行了病毒引入方案,然后将其与实际登革热监视数据进行了匹配。该模拟模型能够以0.18的敏感性和0.98的特异性预测回顾性暴发。现在,可以使用此新参数来评估不同控制策略对广州登革热传播的潜在影响。从这项研究中获得的知识将为当局提供有关登革热暴发的历史模式以及不同疾病管理策略的有效性的有用信息。

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