Global Dynamics of an SIS Model on Metapopulation Networks with Demographics
Author(s) -
Maoxing Liu,
Xinjie Fu,
Jie Zhang,
Donghua Zhao
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/8884236
Subject(s) - metapopulation , basic reproduction number , stability (learning theory) , demographics , statistical physics , epidemic model , diffusion , mathematics , mathematical economics , stability theory , dynamics (music) , computer science , econometrics , physics , demography , population , biological dispersal , nonlinear system , quantum mechanics , machine learning , sociology , acoustics , thermodynamics
In this paper, we propose a susceptible-infected-susceptible (SIS) epidemic model with demographics on heterogeneous metapopulation networks. We analytically derive the basic reproduction number, which determines not only the existence of endemic equilibrium but also the global dynamics of the model. The model always has the disease-free equilibrium, which is globally asymptotically stable when the basic reproduction number is less than unity and otherwise unstable. We also provide sufficient conditions on the global stability of the unique endemic equilibrium. Numerical simulations are performed to illustrate the theoretical results and the effects of the connectivity and diffusion. Furthermore, we find that diffusion rates play an active role in controlling the spread of infectious diseases.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom