Sentence examples for sir model and from inspiring English sources

Further investigations on the epidemic spreading process of the Susceptible–Infected Recovered (SIR) model and Susceptible–Infected (SI) model in real complex networks verify that our method is effective for detecting the node influence.

Nevertheless, the discrete SIR model and its dynamics are quite few.

We will study the global stability of the endemic equilibrium of a discrete SIR model and get sufficient conditions.

We compared the LIC estimated by the aforementioned SIR model and by R2* in a group of patients, obtaining a good correlation between the two values (r2 = 0.86).

Also, it is interesting to study the threshold (tilde{R}_{0}) of a stochastic SIR model, and these investigations are in progress.

In order to demonstrate the variety of the problem and the general application of DAVA two common discrete-time models were used for virus infection, the susceptible-infected-removed (SIR) model and the immune response (IR) model.

This is a natural extension of the basic SIR model (Kermack and McKendrick 1927), and as such, it has been well studied in a number of papers (Lloyd 2000; Ma and Earn 2006; Driessche and Watmough 2002).

In many cases, to obtain the first approximation of the spread of a disease, it is sufficient to use a version of the classical SIR model (Kermack and McKendrick 1927).

Using the background discussed above, this section simply discusses SIS model, and SIR model is applied to multi-hop network based on RWP model.

Influence factors of virus spreading are analyzed in Section 5. Using the background discussed above, In section 6, SIS model and SIR model are applied to multi-hop network based on RWP model.

Most mathematical epidemic models descend from the classical SIR model of Kermack and McKendrick established in 1927 [3].