In this paper we provide the derivation of a super compact pairwise model with only 4 equations in the context of describing susceptible-infected-susceptible (SIS) epidemic dynamics on heterogenous networks. The super compact model is based on a new closure relation that involves not only the average degree but also the second and third moments of the degree distribution. Its derivation uses an a priori approximation of the degree distribution of susceptible nodes in terms of the degree distribution of the network. The new closure gives excellent agreement with heterogeneous pairwise models that contain significantly more differential equations
© 2017, The Author(s). Recent years have seen a large amount of interest in epidemics on networks as...
peer-reviewedBinary-state dynamics (such as the susceptible-infected-susceptible (SIS) model of dise...
Exact network reconstruction from observations of the SIS process in discrete time would be very use...
In this paper, we provide the derivation of a super compact pairwise (PW) model with only four equat...
This paper presents a compact pairwise model that describes the spread of multi-stage epidemics on n...
Network models of disease spread play an important role in elucidating the impact of long-lasting in...
Pairwise models are used widely to model epidemic spread on networks. These include the modelling of...
The epidemic threshold is probably the most studied quantity in the modelling of epidemics on networ...
The epidemic threshold is probably the most studied quantity in the modelling of epidemics on networ...
The global behaviour of the compact pairwise approximation of SIS epidemic propagation on networks i...
Realistic human contact networks capable of spreading infectious disease, for example studied in soc...
Many if not all models of disease transmission on networks can be linked to the exact state-based Ma...
We introduce the ?-susceptible-infected-susceptible (SIS) spreading model, which is taken as a bench...
<p>Grey lines show 500 stochastic realizations of the individual-based model run on different random...
In this paper, we study the SIS (susceptible-infected-susceptible) and SIR (susceptible-infected-rem...
© 2017, The Author(s). Recent years have seen a large amount of interest in epidemics on networks as...
peer-reviewedBinary-state dynamics (such as the susceptible-infected-susceptible (SIS) model of dise...
Exact network reconstruction from observations of the SIS process in discrete time would be very use...
In this paper, we provide the derivation of a super compact pairwise (PW) model with only four equat...
This paper presents a compact pairwise model that describes the spread of multi-stage epidemics on n...
Network models of disease spread play an important role in elucidating the impact of long-lasting in...
Pairwise models are used widely to model epidemic spread on networks. These include the modelling of...
The epidemic threshold is probably the most studied quantity in the modelling of epidemics on networ...
The epidemic threshold is probably the most studied quantity in the modelling of epidemics on networ...
The global behaviour of the compact pairwise approximation of SIS epidemic propagation on networks i...
Realistic human contact networks capable of spreading infectious disease, for example studied in soc...
Many if not all models of disease transmission on networks can be linked to the exact state-based Ma...
We introduce the ?-susceptible-infected-susceptible (SIS) spreading model, which is taken as a bench...
<p>Grey lines show 500 stochastic realizations of the individual-based model run on different random...
In this paper, we study the SIS (susceptible-infected-susceptible) and SIR (susceptible-infected-rem...
© 2017, The Author(s). Recent years have seen a large amount of interest in epidemics on networks as...
peer-reviewedBinary-state dynamics (such as the susceptible-infected-susceptible (SIS) model of dise...
Exact network reconstruction from observations of the SIS process in discrete time would be very use...