RT Journal Article
T1 Cumulative and maximum epidemic sizes for a nonlinear seir stochastic model with limited resources
A1 Amador Pacheco, Julia
A1 López Herrero, María Jesús
A2 Han, Xiaoying
AB 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.
PB American Institute of Mathematical Sciences
SN 1531-3492
YR 2018
FD 2018
LK https://hdl.handle.net/20.500.14352/102107
UL https://hdl.handle.net/20.500.14352/102107
LA eng
NO 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
NO Ministerio de Ciencia, Innovación y Universidades de España
NO Comisión Europea
DS Docta Complutense
RD 10 abr 2025