Comment on "Nodal infection in Markovian susceptible-infected-susceptible and susceptible-infected-removed epidemics on networks are non-negatively correlated".

Autor: Rodríguez PM; Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Caixa Postal 668, 13560-970 São Carlos, São Paulo, Brazil., Roldán-Correa A; Instituto de Matemáticas, Universidad de Antioquia, Calle 67 Number 53-108, Medellín, Colombia., Valencia LA; Instituto de Matemáticas, Universidad de Antioquia, Calle 67 Number 53-108, Medellín, Colombia.
Jazyk: angličtina
Zdroj: Physical review. E [Phys Rev E] 2018 Aug; Vol. 98 (2-2), pp. 026301.
DOI: 10.1103/PhysRevE.98.026301
Abstrakt: Cator and Van Mieghem [Phys. Rev. E 89, 052802 (2014)PLEEE81539-375510.1103/PhysRevE.89.052802] stated that the correlation of infection at the same time between any pair of nodes in a network is non-negative for the Markovian susceptible-infected-susceptible (SIS) and susceptible-infected-removed (SIR) epidemic models. The arguments used to obtain this result rely strongly on the graphical construction of the stochastic process, as well as the Fortuin, Kasteleyn, and Ginibre (FKG) inequality. In this Comment, we show that although the approach used by the authors applies to the SIS model, it cannot be used for the SIR model as stated in their work. In particular, we observe that monotonicity in the process is crucial for invoking the FKG inequality. Moreover, we provide an example of a simple graph for which the nodal infection in the SIR Markovian model is negatively correlated.
Databáze: MEDLINE