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Modeling Co-circulation of Influenza Strains in Heterogeneous Urban Populations: The Role of Herd Immunity and Uncertainty Factors

机译:流感病毒株在异质城市人群中的共循环模型:群体免疫和不确定性因素的作用

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In this research, we aimed to assess the influence of herd immunity levels on the process of co-circulation of influenza strains in urban populations and to establish how the stochastic nature of epidemic processes might affect this influence. A spatially explicit individual-based model of multistrain epidemic dynamics was developed and simulations were performed using a 2010 synthetic population of Saint Petersburg, Russia. According to the simulation results, the largest influenza outbreaks are associated with low immunity levels to the virus strains which caused by these strains. At the same time, high immunity levels per se do not prevent outbreaks, although they might affect the resulting levels of disease prevalence. The results of the study will be used in the research of long-term immunity formation dynamics to influenza strains in Russian cities.
机译:在这项研究中,我们旨在评估群体免疫水平对城市人群流感毒株共循环过程的影响,并确定流行过程的随机性可能如何影响这种影响。开发了一个基于个体的多序列流行病动力学空间显式模型,并使用俄罗斯圣彼得堡2010年的合成种群进行了模拟。根据模拟结果,最大的流感暴发与这些毒株引起的病毒株免疫力低下有关。与此同时,高免疫水平本身并不能防止疫情暴发,尽管它们可能会影响由此产生的疾病流行水平。研究结果将用于研究俄罗斯城市流感病毒株的长期免疫形成动态。

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