Results 301 to 310 of about 39,047,150 (349)
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A Multi-Risk SIR Model with Optimally Targeted Lockdown
, 2020We develop a multi-risk SIR model (MR-SIR) where infection, hospitalization and fatality rates vary between groups—in particular between the “young”, “the middleaged” and the “old”.
Daron Acemoglu +3 more
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A modified variable‐order fractional SIR model to predict the spread of COVID‐19 in India
Mathematical methods in the applied sciences, 2021The first case of COVID‐19 in India detected on January 30, 2020, after its emergence in Wuhan, China, in December 2019. The lockdown was imposed as anemergency measure by the Indian government to prevent the spread of COVID‐19 but gradually eased out ...
A. Singh, M. Mehra, Samarth Gulyani
semanticscholar +1 more source
International Journal of Bifurcation and Chaos, 2012
A discrete-time deterministic epidemic model is proposed with the aim of reproducing the behavior observed in the incidence of real infectious diseases, such as oscillations and irregularities. For this purpose, we introduce, in a naïve discrete-time SIRS model, seasonal variability (i) in the loss of immunity and (ii) in the infection probability ...
F. Paladini, Ilaria Renna, L. Renna
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A discrete-time deterministic epidemic model is proposed with the aim of reproducing the behavior observed in the incidence of real infectious diseases, such as oscillations and irregularities. For this purpose, we introduce, in a naïve discrete-time SIRS model, seasonal variability (i) in the loss of immunity and (ii) in the infection probability ...
F. Paladini, Ilaria Renna, L. Renna
openaire +2 more sources
2012
In this chapter, we introduce the basic SIR model and its properties. In this first section, we introduce the SIR model and review its dynamic properties assuming homogeneous mixing. In Sect. 3.2 the SIR model in endemic equilibrium is discussed whereas the link to serological data is made in Sect. 3.3.
Niel Hens +5 more
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In this chapter, we introduce the basic SIR model and its properties. In this first section, we introduce the SIR model and review its dynamic properties assuming homogeneous mixing. In Sect. 3.2 the SIR model in endemic equilibrium is discussed whereas the link to serological data is made in Sect. 3.3.
Niel Hens +5 more
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Modelling and Analysis of an SIRS Model for Worm Propagation
2009 International Conference on Computational Intelligence and Security, 2009Based on both construction methods of the epidemic models and mechanism of the worm propagation, a new SIRS model for virus propagation is derived. By using the theory of differential equations, the propagation regularity of worm virus is discussed and the threshold of removing virus is gained.
Qiming Liu 0002 +2 more
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Numerical modelling of an SIR epidemic model with diffusion
Applied Mathematics and Computation, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Settapat Chinviriyasit +1 more
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Dynamic behaviors of SIR and SIRS model
Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences, 2021Huawei Zhang, Xinhui Shen
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Modelling Dengue with the SIR Model
2019Severe dengue outbreaks and their consequences point out the need for prognosis and control methods which can be derived by epidemiological mathematical models. In this article we develop a model to describe observed data on hospitalized dengue cases in Colombo (Sri Lanka) and Jakarta (Indonesia). Usually, the disease is epidemiologically modelled with
Peter Heidrich, Thomas Götz
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