RT Journal Article
T1 The stochastic SEIR model before extinction: computational approaches
A1 Artalejo Rodríguez, Jesús Manuel
A1 Economou, A.
A1 López Herrero, María Jesús
AB We study a stochastic epidemic model of Susceptible-Exposed-Infective-Removed (SEIR) type and we quantify its behavior during an outbreak. More specifically, we model the epidemic by a continuous-time Markov chain and we develop efficient computational procedures for the distribution of the duration of an outbreak. We also study the evolution of the epidemic before its extinction using the ratio-of-expectations (RE) distribution for the number of individuals in the various classes of the model. The obtained results are illustrated by numerical examples including an application to an outbreak of Marburg hemorrhagic fever
PB Elsevier
SN 0096-3003
YR 2015
FD 2015-08-15
LK https://hdl.handle.net/20.500.14352/101973
UL https://hdl.handle.net/20.500.14352/101973
LA eng
NO Artalejo, Economou y Lopez-Herrero (2015) «The stochastic SEIR model before extinction: Computational approaches», Applied Mathematics and Computation, 265, pp. 1026-1043. doi:10.1016/J.AMC.2015.05.141.
NO Ministerio de Ciencia e Innovación de España
NO Comisión Europea
NO Universidad Complutense de Madrid
NO Banco Santander
DS Docta Complutense
RD 22 jul 2024