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2020
DOI: 10.1002/mma.6156
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The dynamics of an age‐structured TB transmission model with relapse

Abstract: This paper deals with the global dynamics for a tuberculosis transmission model with age‐structure and relapse. The time delay in the progression from the latent individuals to becoming the infectious individuals is also considered in our model. We perform some rigorous analyses for the model, including presenting an explicit formula for the basic reproduction number of the model, addressing the persistence of the solution semiflow and the existence of a global attractor. Based on these analyses, we establish … Show more

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Cited by 9 publications
(9 citation statements)
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References 29 publications
(65 reference statements)
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“…Remark Note that the bounded feasible region Ω defined in Cao et al 1 missed the boundedness of T . For completeness, here, we add it to the invariant set.…”
Section: Previous Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Remark Note that the bounded feasible region Ω defined in Cao et al 1 missed the boundedness of T . For completeness, here, we add it to the invariant set.…”
Section: Previous Resultsmentioning
confidence: 99%
“…Various interesting and important mathematical models were developed to describe the underlying transmission mechanisms of TB. In this paper, we revisit the following age‐structured TB transmission model proposed 1 {leftarraydS(t)dt=ΛdS(t)βS(t)I(t),arrayE(t,a)t+E(t,a)a=(d+α(a)+γ1)E(t,a),arraydI(t)dt=true∫0α(a)E(t,a)da(d+μ+γ2)I(t)+kT(t),arraydT(t)dt=γ1true∫0E(t,a)da+γ2I(t)(d+k)T(t),arrayE(t,0)=βS(t)I(t), where S ( t ), E ( t , a ), I ( t ), and T ( t ) are the numbers of susceptible, latent individuals with infection age a , infective individuals, and recovered individuals at time t , respectively. Here, all individuals have the same natural death rate d .…”
Section: Introductionmentioning
confidence: 99%
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“…Thus, based on previous discussions of disease transmission (see Refs. 30–39) and above, we propose SIRE epidemic model leftdSdt=normalΛβ1f(S)Eg(S)0β2(a)i(t,a)daμS,leftifalse(t,afalse)t+ifalse(t,afalse)a=(μ+σfalse(afalse)+αfalse(afalse))i(t,a),leftdEdt=0θ(a)i(t,a)da(1E)γE,leftrfalse(t,bfalse)t+rfalse(t,bfalse)b=(μ+δfalse(bfalse))r(t,b),lefti(t,0)=β1f(S)E+g(S)0β2(a)i(t,a)da+0δ(b)r(t,b)db,le...…”
Section: Introductionmentioning
confidence: 99%