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Cumulative and maximum epidemic sizes for a nonlinear seir stochastic model with limited resources

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https://doi.org/10.3934/DCDSB.2017211

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Publication date

2018

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American Institute of Mathematical Sciences
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https://hdl.handle.net/20.500.14352/102107

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Amador, J. y Lopez-Herrero, M. (2018) «Cumulative and maximum epidemic sizes for a nonlinear seir stochastic model with limited resources», Discrete and Continuous Dynamical Systems - Series B, 23(8), pp. 3137-3151. doi:10.3934/DCDSB.2017211

Abstract

The paper deals with a stochastic SEIR model with nonlinear incidence rate and limited resources for a treatment. We focus on a long term study of two measures for the severity of an epidemic: The total number of cases of infection and the maximum of individuals simultaneously infected during an outbreak of the communicable disease. Theoretical and computational results are numerically illustrated.

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Procesos estocásticos, Enfermedades infecciosas, Estadística

Unesco subjects

1208.08 Procesos Estocásticos, 2404.01 Bioestadística, 3202 Epidemiología

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