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The maximum number of infected individuals in SIS epidemic models: Computational techniques and quasi-stationary distributions

✍ Scribed by J.R. Artalejo; A. Economou; M.J. Lopez-Herrero


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
856 KB
Volume
233
Category
Article
ISSN
0377-0427

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✦ Synopsis


a b s t r a c t

We study the maximum number 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 infected individuals 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.