Titlebook: Computational Epidemiology; Data-Driven Modeling Ellen Kuhl Textbook 2021 The Editor(s) (if applicable) and The Author(s), under exclusive

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The classical SIR modelrizes infectious diseases that provide immunity upon infection. While the SIR model does not have an analytical solution for the time course of its populations, it has explicit analytical solutions for its maximum infectious population and for the final sizes of its susceptible and recovered populat

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The classical SEIR modelracterizes infectious diseases with a significant incubation period during which individuals have been infected, but are not yet infectious themselves. While the SEIR model does not have an analytical solution for the time course of its populations, it has explicit analytical solutions for the maxim

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The computational SIR modelous 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 explicit and implicit time integration schemes to solve it. We compare the timeline of the SIR model t

Nmda-Receptor

The computational SEIR model It characterizes infectious diseases that have a significant incubation period and provide immunity upon infection. Since the SEIR model has no analytical solution for the time course of its populations, we discretize it in time using finite differences and apply explicit and implicit time integrat