Results 311 to 320 of about 39,047,150 (349)
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2021
The SIR model is popular compartment model with three populations, the susceptible, infectious, and recovered groups S, I, and R. It characterizes infectious diseases that provide immunity upon infection. Since the SIR model has no analytical solution for the time course of its populations, we discretize it in time using finite differences and adopt ...
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The SIR model is popular compartment model with three populations, the susceptible, infectious, and recovered groups S, I, and R. It characterizes infectious diseases that provide immunity upon infection. Since the SIR model has no analytical solution for the time course of its populations, we discretize it in time using finite differences and adopt ...
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Applied Mathematics-A Journal of Chinese Universities, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2022
There is considerable discussion in the healthcare community around the world regarding many possible strategies to minimize the impact of the new coronavirus (COVID-19). Modeling and simulations are useful tools for estimating key parameters of transmission and for subsequent improvements in its management.
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There is considerable discussion in the healthcare community around the world regarding many possible strategies to minimize the impact of the new coronavirus (COVID-19). Modeling and simulations are useful tools for estimating key parameters of transmission and for subsequent improvements in its management.
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2017
This chapter focuses on the relationships between the continuous-time SIR models we have previously derived and identifying conditions under which they are appropriate. Unless otherwise noted, the models discussed in this chapter are SIR models. Each of these models involves some assumptions, and to understand their limitations, we need to understand ...
István Z. Kiss +2 more
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This chapter focuses on the relationships between the continuous-time SIR models we have previously derived and identifying conditions under which they are appropriate. Unless otherwise noted, the models discussed in this chapter are SIR models. Each of these models involves some assumptions, and to understand their limitations, we need to understand ...
István Z. Kiss +2 more
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Neuro-Evolutionary Computing Paradigm for the SIR Model Based on Infection Spread and Treatment
Neural Processing Letters, 2022J. Gómez-Aguilar +4 more
semanticscholar +1 more source
2017
The modeling of epidemics by hybrid and switched systems is introduced and analyzed. To begin, the classical SIR model is derived and its defining features are detailed. Motivated by variations in the contact rate between members of the population, a switched SIR model is formulated.
Xinzhi Liu, Peter Stechlinski
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The modeling of epidemics by hybrid and switched systems is introduced and analyzed. To begin, the classical SIR model is derived and its defining features are detailed. Motivated by variations in the contact rate between members of the population, a switched SIR model is formulated.
Xinzhi Liu, Peter Stechlinski
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A $$\textit{SIR}$$ SIR epidemic model with incubation period
Afrika Matematika, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Analytical features of the SIR model and their applications to COVID-19
Applied Mathematical Modelling, 2021Nikolai Kudryashov +2 more
exaly
Fractional-Order Discrete-Time SIR Epidemic Model with Vaccination: Chaos and Complexity
Mathematics, 2022Hadi Jahanshahi +2 more
exaly