4.6 Article

The threshold of a stochastic SIQS epidemic model

Journal

Publisher

ELSEVIER
DOI: 10.1016/j.physa.2017.04.100

Keywords

Random perturbations; Ito's formula; The threshold; SIQS

Funding

  1. Hongliu Young Teachers of Lanzhou University of Technology [0201313]
  2. NNSF of China [11461041]
  3. NSF of Gansu Province [148RJZA024]
  4. Development Program for HongLiu Outstanding Young Teachers in Lanzhou University of Technology

Ask authors/readers for more resources

In this paper, we present the threshold of a stochastic SIQS epidemic model which determines the extinction and persistence of the disease. Furthermore, we find that noise can suppress the disease outbreak. Numerical simulations are also carried out to confirm the analytical results. (C) 2017 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available