2010
DOI: 10.1007/s11538-009-9487-6
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Global Stability for Delay SIR and SEIR Epidemic Models with Nonlinear Incidence Rate

Abstract: In this paper, based on SIR and SEIR epidemic models with a general nonlinear incidence rate, we incorporate time delays into the ordinary differential equation models. In particular, we consider two delay differential equation models in which delays are caused (i) by the latency of the infection in a vector, and (ii) by the latent period in an infected host. By constructing suitable Lyapunov functionals and using the Lyapunov-LaSalle invariance principle, we prove the global stability of the endemic equilibri… Show more

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Cited by 178 publications
(98 citation statements)
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References 22 publications
(30 reference statements)
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“…Huang et al [16] showed that the so-called basic reproductive number of (2.2) is R 0 ¼ b lþc . They further proved that F is global asymptotically stable if R 0 1, while if R 0 > 1; E is global asymptotically stable for any s P 0.…”
Section: Existence Of Traveling Waves For C > C ãmentioning
confidence: 99%
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“…Huang et al [16] showed that the so-called basic reproductive number of (2.2) is R 0 ¼ b lþc . They further proved that F is global asymptotically stable if R 0 1, while if R 0 > 1; E is global asymptotically stable for any s P 0.…”
Section: Existence Of Traveling Waves For C > C ãmentioning
confidence: 99%
“…We use Lyapunov method motivated by [12,16,27,28]. We first claim that IðnÞ > 0 for any n 2 R. Indeed, suppose that there exists x 0 2 R such that Iðx 0 Þ ¼ 0, then I 0 ðx 0 Þ ¼ 0 and ð J Ã I À IÞðx 0 Þ P 0 with equality holding if and only if I 0.…”
Section: ð2:15þmentioning
confidence: 99%
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“…In [13], Korobeinikov established global stability for ordinary differential version of 2. In [9], Huang et al have considered two epidemiological models with the constant time delays and nonlinear incidence rate of the form f (S)g(I). In [8], Huang and Takeuchi established the global properties of epidemiological models with constant delays and nonlinear incidence rate f (S, I).…”
Section: The Mathematical Modelmentioning
confidence: 99%
“…In the context of epidemiology, delays can be caused by a variety of factors. The most common reasons for a delay are (i) the latency of the infection in a vector and (ii) the latency of the infection in an infected host [30]. In these cases, some time should elapse before the level of infection in the infected host or the vector reaching a sufficiently high level to transmit the infection further.…”
Section: Introductionmentioning
confidence: 99%