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Analysis of Transmission and Control of Tuberculosis in Mainland China 2005–2016 Based on the Age-Structure Mathematical Model

机译:基于年龄结构数学模型的2005-2016年中国大陆结核病传播与控制分析

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摘要

Tuberculosis (TB), an air-borne infectious disease, is a major public-health problem in China. The reported number of the active tuberculosis cases is about one million each year. The morbidity data for 2005–2012 reflect that the difference in morbidity based on age group is significant, thus the role of age-structure on the transmission of TB needs to be further developed. In this work, based on the reported data and the observed morbidity characteristics, we propose a susceptible-exposed-infectious-recovered (SEIR) epidemic model with age groupings, involving three categories: children, the middle-aged, and senior to investigate the role of age on the transmission of tuberculosis in Mainland China from 2005 to 2016. Then, we evaluated the parameters by the Least Square method and simulated the model and it had good alignment with the reported infected TB data in Mainland China. Furthermore, we estimated the basic reproduction number R0 of 1.7858, with an obtained 95% confidence interval for R0 of (1.7752, 1.7963) by Latin hypercube sampling, and we completed a sensitivity analysis of R0 in terms of some parameters. Our study demonstrates that diverse age groups have different effects on TB. Two effective measures were found that would help reach the goals of the World Health Organization (WHO) End TB Strategy: an increase in the recovery rate and the reduction in the infectious rate of the senior age group.
机译:结核病是一种空气传播的传染病,是中国的主要公共卫生问题。每年报告的活动性肺结核病例数约为一百万。 2005-2012年的发病率数据反映出,基于年龄组的发病率差异很大,因此,年龄结构在结核病传播中的作用有待进一步发展。在这项工作中,根据报告的数据和观察到的发病率特征,我们提出了一个按年龄分组的易感性传染病恢复(SEIR)流行病模型,涉及三个类别:儿童,中年和老年人,以调查年龄在2005年至2016年间在中国大陆结核病传播中的作用。然后,我们采用最小二乘方法对参数进行了评估,并对该模型进行了模拟,该模型与中国大陆已报告的结核病感染数据具有良好的一致性。此外,通过拉丁超立方体采样,我们估计基本再现数R0为1.7858,获得的R0的95%置信区间为(1.7752,1.7963),并且我们根据一些参数完成了R0的灵敏度分析。我们的研究表明,不同年龄段的人群对结核病的影响不同。发现了两个有效的措施,将有助于实现世界卫生组织(WHO)的“终结结核病战略”的目标:提高康复率,降低老年人群的感染率。

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