RT Journal Article
T1 The deterministic SIS epidemic model in a Markovian random environment
A1 Economou, Antonis
A1 López Herrero, María Jesús
AB We consider the classical deterministic susceptible-infective-susceptible epidemic model, where the infection and recovery rates depend on a background environmental process that is modeled by a continuous time Markov chain. This framework is able to capture several important characteristics that appear in the evolution of real epidemics in large populations, such as seasonality effects and environmental influences. We propose computational approaches for the determination of various distributions that quantify the evolution of the number of infectives in the population.
PB Springer
SN 0303-6812
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/102106
UL https://hdl.handle.net/20.500.14352/102106
LA eng
NO Economou, A. y Lopez-Herrero, M.J. (2016) «The deterministic SIS epidemic model in a Markovian random environment», Journal of Mathematical Biology, 73(1), pp. 91-121. doi:10.1007/S00285-015-0943-7.
NO Ministerio de Economía y Competitividad de España
NO Comisión Europea
DS Docta Complutense
RD 8 abr 2025