2019
DOI: 10.1007/s00033-019-1156-5
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A nonlocal SIS epidemic problem with double free boundaries

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Cited by 14 publications
(6 citation statements)
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“…Proof We can refer to Cao et al [7, Proposition 3.4] and Huang and Wang [6, Proposition B.1] to prove it. Thus, we omit the details here.…”
Section: Eigenvalue Problem and Comparison Principlementioning
confidence: 95%
See 1 more Smart Citation
“…Proof We can refer to Cao et al [7, Proposition 3.4] and Huang and Wang [6, Proposition B.1] to prove it. Thus, we omit the details here.…”
Section: Eigenvalue Problem and Comparison Principlementioning
confidence: 95%
“…At last, some sufficient conditions for the disease vanishing were established. Then Huang and Wang [6] considered the following nonlocal case with double free boundaries {left leftarrayStSxx=γIS(KI),arrayt>0,x,arrayItIxx=S(KI)bI,arrayt>0,x(g(t),h(t)),arrayI(t,x)=0,arrayt0,x(g(t),h(t)),arrayg(t)=μIx(t,g(t)),h(t)=μIx(t,h(t)),arrayt>0,arrayS(0,x)=S0(x),I(0,x)=I0(x),arrayx,arrayg(0)=h0=h(0).array$$ \left\{\begin{array}{ll}{S}_t-{S}_{xx}=\gamma I-S\left(K\ast I\right),& t>0,x\in \mathrm{\mathbb{R}},\\ {}{I}_t-{I}_{xx}=S\left(K\ast I\right)- bI,& t>0,x\in \left(g(t),h(t)\right),\\ {}I\left(t,x\right)=0,& t\ge 0,x\in \mathrm{\mathbb{R}}\setminus \left(g(t)...…”
Section: Introductionmentioning
confidence: 99%
“…Proof. We can refer to [2, Proposition 3.4] and [8,Proposition B.1] to prove it. We omit the details here.…”
Section: Eigenvalue Problem and Comparison Principlementioning
confidence: 99%
“…At last, some sufficient conditions for the disease vanishing were established. Then in [8], Huang and Wang considered the following nonlocal case with double free boundaries…”
Section: Introductionmentioning
confidence: 99%
“…Ge et al. in ( Ge, Kim, Lin, & Zhu, 2015 ) studied a simplified SIS model with advection and free boundary and gave the spreading speeds when spreading happens; a diffusion-advection simplified SIS epidemic model in a heterogeneous time-periodic environment was studied in ( Ge, Lei, & Lin, 2017 ); a SIS reaction-diffusion model with free boundary and mass action mechanism was discussed in ( Wang & Guo, 2019 ); recently an SIS epidemic reaction-diffusion model with mass-action incidence incorporating spontaneous infection in a spatially heterogeneous environment was examined ( Tong, Ahn, & Lin, 2021 ); a SIS model risk-induced dispersal of infected individuals has been studied ( Choi, Lin, & Ahn, 2022 ); the spreading or vanishing of an SIS epidemic model with free boundary and nonlocal incidence rate was analyzed in ( Cao et al., 2017b ; Huang & Wang, 2019 ).…”
Section: Introductionmentioning
confidence: 99%