RT Journal Article
T1 The maximum number of infected individuals in SIS epidemic models: Computational techniques and quasi-stationary distributions
A1 Artalejo Rodríguez, Jesús Manuel
A1 Economou, A.
A1 López Herrero, María Jesús
AB We study the maximumn umber of infected individuals observed during an epidemic for a Susceptible–Infected–Susceptible (SIS) model which corresponds to a birth–death process with an absorbing state. We develop computational schemes for the corresponding distributions in a transient regime and till absorption. Moreover, we study the distribution of the current number of infectedindividuals given that the maximum number during the epidemic has not exceeded a given threshold. In this sense, some quasi-stationary distributions of a related process are also discussed.
PB Elsevier Science Bv
SN 0377-0427
YR 2010
FD 2010-03-15
LK https://hdl.handle.net/20.500.14352/149.1
UL https://hdl.handle.net/20.500.14352/149.1
LA eng
NO Government of Spain (Department of Science and Innovation)
NO European Commission
DS Docta Complutense
RD 13 abr 2025