RT Journal Article
T1 On SIR epidemic models with generally distributed infectious periods: Number of secondary cases and probability of infection
A1 Gómez-Corral, Antonio
A1 López-García, M.
AB Recently, Clancy [SIR epidemic models with general infectious period distribution, Statist. Prob. Lett. 85 (2014) 1–5] has shown how SIR epidemics in which individuals’ infection periods are not necessarily exponentially distributed may be modeled in terms of a piecewise-deterministic Markov process (PDMP). In this paper, we present a more detailed description of the underlying PDMP, from which we analyze the population transmission number and the infection probability of a certain susceptible individual.
PB World Scientific
SN 1793-5245
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/23056
UL https://hdl.handle.net/20.500.14352/23056
DS Docta Complutense
RD 2 may 2024