scholarly journals Analysis of a Dengue Disease Model with Nonlinear Incidence

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Shu-Min Guo ◽  
Xue-Zhi Li ◽  
Mini Ghosh
Keyword(s):  
Numerical Simulations ◽  
Epidemic Model ◽  
Disease Model ◽  
Geometric Approach ◽  
Backward Bifurcation ◽  
Nonlinear Incidence ◽  
Dengue Disease ◽  
Proposed Model ◽  
The Stability

A dengue disease epidemic model with nonlinear incidence is formulated and analyzed. The equilibria and threshold of the model are found. The stability of the system is analyzed through a geometric approach to stability. The proposed model also exhibits backward bifurcation under suitable conditions on parameters. Our results imply that a nonlinear incidence produces rich dynamics and they should be studied carefully in order to analyze the spread of disease more accurately. Finally, numerical simulations are presented to illustrate the analytical findings.

A stochastic threshold of a delayed epidemic model incorporating Lévy processes with harmonic mean and vaccination

2020 ◽  
Vol 13 (07) ◽  
pp. 2050069 ◽  
Author(s):  
Mohamed El Fatini ◽  
Idriss Sekkak ◽  
Aziz Laaribi ◽  
Roger Pettersson ◽  
Kai Wang
Keyword(s):  
Numerical Simulations ◽  
Epidemic Model ◽  
Harmonic Mean ◽  
Lévy Noise ◽  
Model Parameters ◽  
Well Posedness ◽  
Nonlinear Incidence ◽  
Model Driven ◽  
Analytical Results ◽  
Tuberculosis Disease

The aim of this paper is to investigate a stochastic threshold for a delayed epidemic model driven by Lévy noise with a nonlinear incidence and vaccination. Mainly, we derive a stochastic threshold [Formula: see text] which depends on model parameters and stochastic coefficients for a better understanding of the dynamical spreading of the disease. First, we prove the well posedness of the model. Then, we study the extinction and the persistence of the disease according to the values of [Formula: see text]. Furthermore, using different scenarios of Tuberculosis disease in Morocco, we perform some numerical simulations to support the analytical results.

scholarly journals Stability Analysis of a Stochastic SIR Epidemic Model with Specific Nonlinear Incidence Rate

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Jihad Adnani ◽  
Khalid Hattaf ◽  
Noura Yousfi
Keyword(s):  
Incidence Rate ◽  
Epidemic Model ◽  
Endemic Equilibrium ◽  
Random Perturbations ◽  
Sir Epidemic Model ◽  
Nonlinear Incidence Rate ◽  
Nonlinear Incidence ◽  
Sir Epidemic ◽  
Stochastic Sir ◽  
The Stability

We investigate a stochastic SIR epidemic model with specific nonlinear incidence rate. The stochastic model is derived from the deterministic epidemic model by introducing random perturbations around the endemic equilibrium state. The effect of random perturbations on the stability behavior of endemic equilibrium is discussed. Finally, numerical simulations are presented to illustrate our theoretical results.

scholarly journals Stability Analysis for a Fractional HIV Infection Model with Nonlinear Incidence

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Linli Zhang ◽  
Gang Huang ◽  
Anping Liu ◽  
Ruili Fan
Keyword(s):  
Population Dynamics ◽  
Stability Analysis ◽  
Hiv Infection ◽  
Numerical Simulations ◽  
Fractional Order ◽  
Nonnegative Solution ◽  
Infection Model ◽  
Nonlinear Incidence ◽  
Hiv Infection Model ◽  
The Stability

We introduce the fractional-order derivatives into an HIV infection model with nonlinear incidence and show that the established model in this paper possesses nonnegative solution, as desired in any population dynamics. We also deal with the stability of the infection-free equilibrium, the immune-absence equilibrium, and the immune-presence equilibrium. Numerical simulations are carried out to illustrate the results.

Backward Bifurcation in a Fractional-Order SIRS Epidemic Model with a Nonlinear Incidence Rate

2016 ◽  
Vol 17 (7-8) ◽  
pp. 401-412 ◽  
Author(s):  
A. M. Yousef ◽  
S. M. Salman
Keyword(s):  
Incidence Rate ◽  
Fractional Order ◽  
Epidemic Model ◽  
Local Stability ◽  
Host Population ◽  
Backward Bifurcation ◽  
Nonlinear Incidence Rate ◽  
Nonlinear Incidence ◽  
Sirs Epidemic Model ◽  
Disease Free

Abstract:In this work we study a fractional-order susceptible-infective-recovered-susceptible (SIRS) epidemic model with a nonlinear incidence rate. The incidence is assumed to be a convex function with respect to the infective class of a host population. Local and uniform stability analysis of the disease-free equilibrium is investigated. The conditions for the existence of endemic equilibria (EE) are given. Local stability of the EE is discussed. Conditions for the existence of Hopf bifurcation at the EE are given. Most importantly, conditions ensuring that the system exhibits backward bifurcation are provided. Numerical simulations are performed to verify the correctness of results obtained analytically.

A SIS Epidemic Model with Eventual Impulsive Effects

2013 ◽  
Vol 393 ◽  
pp. 666-674
Author(s):  
Manuel de La Sen ◽  
A. Ibeas ◽  
S. Alonso-Quesada
Keyword(s):  
Incidence Rate ◽  
Epidemic Model ◽  
Total Population ◽  
Disease Model ◽  
Impulsive Effects ◽  
Time Varying ◽  
Nonlinear Incidence Rate ◽  
Nonlinear Incidence ◽  
Sis Epidemic Model ◽  
Sis Epidemic

This paper studies a time-varyingSIS(i.e.containing susceptible and infected populations) propagation disease model exhibiting a nonlinear incidence rate and impulsive eventual culling of both populations so that the individuals recover with no immunity to the disease. The nonlinear incidence rate consists of two time-varying additive terms proportional to the susceptible and infected populations normalized to the total population.

scholarly journals Rich dynamics of an SIR epidemic model

2010 ◽  
Vol 15 (1) ◽  
pp. 71-81 ◽  
Author(s):  
S. Pathak ◽  
A. Maiti ◽  
G. P. Samanta
Keyword(s):  
Numerical Simulations ◽  
Epidemic Model ◽  
Transmission Function ◽  
Endemic Equilibrium ◽  
Sir Epidemic Model ◽  
Sir Epidemic ◽  
The Stability ◽  
Disease Free

This paper aims to study an SIR epidemic model with an asymptotically homogeneous transmission function. The stability of the disease-free and the endemic equilibrium is addressed. Numerical simulations are carried out. Implications of our analytical and numerical findings are discussed critically.

scholarly journals Transmission dynamic and backward bifurcation of Middle Eastern respiratory syndrome coronavirus

2022 ◽  
Vol 27 (1) ◽  
pp. 54-69
Author(s):  
Bibi Fatima ◽  
Gul Zaman ◽  
Fahd Jarad
Keyword(s):  
Deterministic Model ◽  
Middle Eastern ◽  
Primary Source ◽  
Backward Bifurcation ◽  
Basic Reproductive Number ◽  
Reproductive Number ◽  
Source Of Infection ◽  
Proposed Model ◽  
The Stability ◽  
The Impact

Middle East respiratory syndrome coronavirus (MERS-CoV) remains an emerging disease threat with regular human cases on the Arabian Peninsula driven by recurring camels to human transmission events. In this paper, we present a new deterministic model for the transmission dynamics of (MERS-CoV). In order to do this, we develop a model formulation and analyze the stability of the proposed model. The stability conditions are obtained in term of R0, we find those conditions for which the model become stable. We discuss basic reproductive number R0 along with sensitivity analysis to show the impact of every epidemic parameter. We show that the proposed model exhibits the phenomena of backward bifurcation. Finally, we show the numerical simulation of our proposed model for supporting our analytical work. The aim of this work is to show via mathematical model the transmission of MERS-CoV between humans and camels, which are suspected to be the primary source of infection.

scholarly journals On the backward bifurcation of a vaccination model with nonlinear incidence

2011 ◽  
Vol 16 (1) ◽  
pp. 30-46 ◽  
Author(s):  
B. Buonomo ◽  
D. Lacitignola
Keyword(s):  
Bifurcation Analysis ◽  
Epidemic Model ◽  
Center Manifold ◽  
Backward Bifurcation ◽  
Center Manifold Theory ◽  
Nonlinear Incidence Rate ◽  
Bifurcation Method ◽  
Nonlinear Incidence ◽  
Preventive Vaccine ◽  
Manifold Theory

A compartmental epidemic model, introduced by Gumel and Moghadas [1], is considered. The model incorporates a nonlinear incidence rate and an imperfect preventive vaccine given to susceptible individuals. A bifurcation analysis is performed by applying the bifurcation method introduced in [2], which is based on the use of the center manifold theory. Conditions ensuring the occurrence of backward bifurcation are derived. The obtained results are numerically validated and then discussed from both the mathematical and the epidemiological perspective.

scholarly journals A Bistable Phenomena Induced by a Mean-Field SIS Epidemic Model on Complex Networks: A Geometric Approach

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaoyan Wang ◽  
Junyuan Yang
Keyword(s):  
Complex Networks ◽  
Epidemic Model ◽  
Mean Field ◽  
Geometric Approach ◽  
Backward Bifurcation ◽  
Medical Resources ◽  
Epidemic Curve ◽  
Sis Epidemic Model ◽  
Lag Effect ◽  
Sis Epidemic

In this paper, we propose a degree-based mean-field SIS epidemic model with a saturated function on complex networks. First, we adopt an edge-compartmental approach to lower the dimensions of such a proposed system. Then we give the existence of the feasible equilibria and completely study their stability by a geometric approach. We show that the proposed system exhibits a backward bifurcation, whose stabilities are determined by signs of the tangent slopes of the epidemic curve at the associated equilibria. Our results suggest that increasing the management and the allocation of medical resources effectively mitigate the lag effect of the treatment and then reduce the risk of an outbreak. Moreover, we show that decreasing the average of a network sufficiently eradicates the disease in a region or a country.

Backward Bifurcation in a Cholera Model: A Case Study of Outbreak in Zimbabwe and Haiti

2017 ◽  
Vol 27 (11) ◽  
pp. 1750170
Author(s):  
Sandeep Sharma ◽  
Nitu Kumari
Keyword(s):  
Basic Reproduction Number ◽  
Deterministic Model ◽  
Reproduction Number ◽  
Numerical Study ◽  
Equilibrium Points ◽  
Geometric Approach ◽  
Backward Bifurcation ◽  
Global Dynamics ◽  
Proposed Model ◽  
The Basic Reproduction Number

In this paper, a nonlinear deterministic model is proposed with a saturated treatment function. The expression of the basic reproduction number for the proposed model was obtained. The global dynamics of the proposed model was studied using the basic reproduction number and theory of dynamical systems. It is observed that proposed model exhibits backward bifurcation as multiple endemic equilibrium points exist when [Formula: see text]. The existence of backward bifurcation implies that making [Formula: see text] is not enough for disease eradication. This, in turn, makes it difficult to control the spread of cholera in the community. We also obtain a unique endemic equilibria when [Formula: see text]. The global stability of unique endemic equilibria is performed using the geometric approach. An extensive numerical study is performed to support our analytical results. Finally, we investigate two major cholera outbreaks, Zimbabwe (2008–09) and Haiti (2010), with the help of the present study.

Sign in / Sign up

Export Citation Format

Share Document