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相关论文: Multiple Equilibria for an SIRS Epidemiological Sy…

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We study the propagation of an SIR (susceptible-infectious-recovered) disease over an agent population which, at any instant, is fully divided into couples of agents. Couples are occasionally allowed to exchange their members. This process…

生物物理 · 物理学 2011-04-21 Damián H. Zanette

In this paper we study the Kernack - MacKendrick model under telegraph noise. The telegraph noise switches at random between two SIRS models. We give out conditions for the persistence of the disease and the stability of a disease free…

概率论 · 数学 2015-07-07 N. T. Hieu , N. H. Du , P. Auger , N. H. Dang

We consider in this paper a general SEIRS model describing the dynamics of an infectious disease including latency, waning immunity and infection-induced mortality. We derive an infinite system of differential equations that provides an…

最优化与控制 · 数学 2022-01-26 Marcel Fang , Pierre-Alexandre Bliman

The ability to actually implement epidemic models is a crucial stake for public institutions, as they may be overtaken by the increasing complexity of current models and sometimes tend to revert to less elaborate models such as the SIR. In…

物理与社会 · 物理学 2023-12-19 Louis Bremaud , Olivier Giraud , Denis Ullmo

Predicting Pandemic evolution involves complex modeling challenges, often requiring detailed discrete mathematics executed on large volumes of epidemiological data. Differential equations have the advantage of offering smooth, well-behaved…

生物物理 · 物理学 2023-02-28 Clara Bender , Abhimanyu Ghosh , Hamed Vakili , Preetam Ghosh , Avik W. Ghosh

It is well known that behavioral changes in contact patterns may significantly affect the spread of an epidemic outbreak. Here we focus on simple endemic models for recurrent epidemics, by modelling the social contact rate as a function of…

种群与进化 · 定量生物学 2013-09-16 Alberto d'Onofrio , Piero Manfredi

Mathematical models are instrumental to forecast the spread of pathogens and to evaluate the effectiveness of non-pharmaceutical measures. A plethora of optimal strategies has been recently developed to minimize either the infected peak…

动力系统 · 数学 2021-11-11 J. Sereno , A. L. Anderson , A. Ferramosca , E. A. Hernandez-Vargas , A. H. Gonzalez

Understanding infectious disease spread remains a critical public health challenge, particularly given the interplay between household dynamics and community transmission patterns. Traditional epidemiological models often oversimplify these…

种群与进化 · 定量生物学 2026-01-21 Houda Yaqine , Christiane Fuchs

In this article we have successfully obtained an exact solution of a particular case of SIR and SIS epidemic models given by Kermack and Mckendrick [1] for constant population, which are described by coupled nonlinear differential…

经典分析与常微分方程 · 数学 2010-12-23 G. Shabbir , H. Khan , M. A. Sadiq

It has long been known that epidemics can travel along communication lines, such as roads. In the current COVID-19 epidemic, it has been observed that major roads have enhanced its propagation in Italy. We propose a new simple model of…

偏微分方程分析 · 数学 2020-11-16 Henri Berestycki , Jean-Michel Roquejoffre , Luca Rossi

This paper studies the spread dynamics of a stochastic SIRS epidemic model with nonlinear incidence and varying population size, which is formulated as a piecewise deterministic Markov process. A threshold dynamic determined by the basic…

动力系统 · 数学 2017-10-26 Dan Li , Shengqiang Liu , Jing'an Cui

We propose a network behavioral-feedback Susceptible-Infected-Recovered (SIR) epidemic model in which the interaction matrix describing the infection rates across subpopulations depends in feedback on the current epidemic state. This model…

动力系统 · 数学 2025-07-08 Martina Alutto , Leonardo Cianfanelli , Giacomo Como , Fabio Fagnani

We consider an epidemic model of SIR type set on a homogeneous tree and investigate the spreading properties of the epidemic as a function of the degree of the tree, the intrinsic basic reproduction number and the strength of the…

偏微分方程分析 · 数学 2021-06-09 Christophe Besse , Grégory Faye

The emergence of diseases such as Zika and Ebola has highlighted the need to understand the role of sexual transmission in the spread of diseases with a primarily non-sexual transmission route. In this paper we develop a number of…

种群与进化 · 定量生物学 2016-11-03 Joel C. Miller

We consider a space-time SI epidemic model with infection age-dependent infectivity and non-local infections constructed on a grid of the torus $\mathbb{T}^1 =(0, 1]^d$, where the individuals may migrate from node to another. The migration…

概率论 · 数学 2023-06-06 Anicet Mougabe-Peurkor , Étienne Pardoux , Ténan Yeo

We study how international flights can facilitate the spread of an epidemic to a worldwide scale. We combine an infrastructure network of flight connections with a population density dataset to derive the mobility network, and then we…

物理与社会 · 物理学 2021-07-26 Hugo Dolan , Riccardo Rastelli

In this manuscript we consider an age structured epidemic system modelling the dynamics of transmission of immunizing disease like Hepatitis B virus. Our model takes into account age as well as two classes of infected individuals (chronic…

偏微分方程分析 · 数学 2016-05-17 Yannick Tchaptchie Kouakep

This paper proposes and analyzes a malaria transmission model structured by the chronological age of the human host population. The model couples an age-structured SIRS system for humans, incorporating waning immunity, with an SI system for…

偏微分方程分析 · 数学 2026-03-17 Seraphin Djaoue , Quentin Richard , Antoine Perasso , Irépran Damakoa

In this paper, we develop a mean-field game model for SEIR epidemics on heterogeneous contact networks, where individuals choose state-dependent contact effort to balance infection losses against the social and economic costs of isolation.…

种群与进化 · 定量生物学 2026-03-06 Weinan Wang

Our study is based on an epidemiological compartmental model, the SIRS model. In the SIRS model, each individual is in one of the states susceptible (S), infected(I) or recovered (R), depending on its state of health. In compartment R, an…

种群与进化 · 定量生物学 2023-05-10 Michael Bestehorn , Thomas M. Michelitsch