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基于模仿的疫苗接种模型的季节性对公共卫生干预动力学的影响。

Effect of seasonality on the dynamics of an imitation--based vaccination model with public health intervention.

机构信息

Department of Mathematics and Applications, University of Naples Federico II, via Cintia, I-80126 Naples, Italy email:

International Prevention Research Institute, 95 cours Lafayette, 69006 Lyon, France email:

出版信息

Math Biosci Eng. 2018 Feb 1;15(1):299-321. doi: 10.3934/mbe.2018013.

Abstract

We extend here the game-theoretic investigation made by d'Onofrio et al (2012) on the interplay between private vaccination choices and actions of the public health system (PHS) to favor vaccine propensity in SIR-type diseases. We focus here on three important features. First, we consider a SEIR--type disease. Second, we focus on the role of seasonal fluctuations of the transmission rate. Third, by a simple population--biology approach we derive - with a didactic aim - the game theoretic equation ruling the dynamics of vaccine propensity, without employing 'economy--related' concepts such as the payoff. By means of analytical and analytical--approximate methods, we investigate the global stability of the of disease--free equilibria. We show that in the general case the stability critically depends on the `shape' of the periodically varying transmission rate. In other words, the knowledge of the average transmission rate (ATR) is not enough to make inferences on the stability of the elimination equilibria, due to the presence of the class of latent subjects. In particular, we obtain that the amplitude of the oscillations favors the possible elimination of the disease by the action of the PHS, through a threshold condition. Indeed, for a given average value of the transmission rate, in absence of oscillations as well as for moderate oscillations, there is no disease elimination. On the contrary, if the amplitude exceeds a threshold value, the elimination of the disease is induced. We heuristically explain this apparently paradoxical phenomenon as a beneficial effect of the phase when the transmission rate is under its average value: the reduction of transmission rate (for example during holidays) under its annual average over--compensates its increase during periods of intense contacts. We also investigate the conditions for the persistence of the disease. Numerical simulations support the theoretical predictions. Finally, we briefly investigate the qualitative behavior of the non--autonomous system for SIR--type disease, by showing that the stability of the elimination equilibria are, in such a case, determined by the ATR.

摘要

我们在这里扩展了 d'Onofrio 等人(2012 年)对私人疫苗接种选择与公共卫生系统(PHS)促进疫苗倾向相互作用的博弈论研究,以适合 SIR 型疾病。我们在这里关注三个重要特征。首先,我们考虑 SEIR 型疾病。其次,我们关注传播率季节性波动的作用。第三,通过一种简单的种群生物学方法,我们以教学为目的,推导出支配疫苗倾向动态的博弈论方程,而不使用与经济相关的概念,如收益。通过分析和分析近似方法,我们研究了无病平衡点的全局稳定性。我们表明,在一般情况下,稳定性关键取决于周期性变化的传播率的“形状”。换句话说,由于潜伏人群的存在,平均传播率(ATR)的知识不足以对消除平衡点的稳定性进行推断。特别是,我们得出结论,由于存在潜在人群,振荡幅度有利于 PHS 通过阈值条件消除疾病。事实上,对于给定的平均传播率值,在没有振荡以及适度振荡的情况下,不会消除疾病。相反,如果幅度超过阈值,则会诱导疾病的消除。我们通过启发式解释了这种看似矛盾的现象,即传播率低于其平均值时的相位具有有益的效果:在假期等期间,传播率的降低(例如)超过了其全年平均值,从而弥补了其在密集接触期间的增加。我们还研究了疾病持续存在的条件。数值模拟支持理论预测。最后,我们简要研究了 SIR 型疾病非自治系统的定性行为,表明消除平衡点的稳定性在这种情况下由 ATR 决定。

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