Dynamical analysis of a mean-field vector-borne diseases model on complex networks: An edge based compartmental approach

DOI10.1063/1.5116209zbMath1431.92144OpenAlexW2998317192WikidataQ89512350 ScholiaQ89512350MaRDI QIDQ5218135

Jun-Yuan Yang, Xiao-Yan Wang

Publication date: 28 February 2020

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.5116209

Mathematics Subject Classification ID

Epidemiology (92D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Simulation of dynamical systems (37M05)

Related Items (6)

Dynamical behavior and optimal control of a vector-borne diseases model on bipartite networks ⋮ Existence of the backward bifurcation of a non-Markovian SIS-network model with saturation treatment function ⋮ A new insight into isolating the high-degree nodes in network to control infectious diseases ⋮ Complex patterns of an SIR model with a saturation treatment on complex networks: an edge-compartmental approach ⋮ Dynamical behaviors of a vector-borne diseases model with two time delays on bipartite networks ⋮ Competitive exclusion and coexistence phenomena of a two-strain SIS model on complex networks from global perspectives

Cites Work

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• Epidemic dynamics on information-driven adaptive networks
• Global stability of two SIS epidemic mean-field models on complex networks: Lyapunov functional approach
• A methodology for performing global uncertainty and sensitivity analysis in systems biology
• Analysis of transmission dynamics for Zika virus on networks
• Coupling dynamics of epidemic spreading and information diffusion on complex networks
• An epidemic model of a vector-borne disease with direct transmission and time delay
• Global Stability of Virus Spreading in Complex Heterogeneous Networks
• Bifurcation analysis of a network-based SIR epidemic model with saturated treatment function

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