Stochastic descriptors in an SIR epidemic model for heterogeneous individuals in small networks

DOI10.1016/j.mbs.2015.10.010zbMath1364.92050OpenAlexW2154438716WikidataQ40372256 ScholiaQ40372256MaRDI QIDQ899593

N. E. Zubov

Publication date: 30 December 2015

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: http://eprints.whiterose.ac.uk/91001/1/RevisedManuscript_MLopezGarcia_MBS-D-15-00097.pdf

zbMATH Keywords

continuous-time Markov chainnosocomial infectionsmaximum number of infected individualsindividual fatelength and size of an outbreak

Mathematics Subject Classification ID

Epidemiology (92D30) Population dynamics (general) (92D25) Applications of continuous-time Markov processes on discrete state spaces (60J28)

Related Items (4)

SIR-type epidemic models as block-structured Markov processes ⋮ On SIR epidemic models with generally distributed infectious periods: Number of secondary cases and probability of infection ⋮ A structured Markov chain model to investigate the effects of pre-exposure vaccines in tuberculosis control ⋮ A geometric analysis of the SIRS epidemiological model on a homogeneous network

Uses Software

• Expokit

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