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Controlling an Influenza Outbreak in Deterministic and Stochastic Models with the Emergence and Evolution of Drug Resistance

机译:通过耐药性的产生和发展控制确定性和随机性模型中的流感爆发

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In this paper first a system of ordinary differential equations is formulated for an extended SIR influenza model. In our model, the emergence of drug resistance and the evolution of resistant strains are assumed. As a result, the coexistence of sensitive and resistant strains leads to the occurrence of consecutive epidemic waves during the disease infection. We employ two main control strategies: prophylaxis and antiviral treatment to study their influences in eradicating or mitigating the outbreak. Then we develop a deterministic model to a SDE form for taking into consideration the stochasticity of drug resistance spread. The basic reproduction numbers and the control reproduction numbers are calculated for the sensitive and resistant strains. Also we discuss the numerical results obtained for the final size of the epidemic from both, the deterministic and stochastic models.
机译:在本文中,首先为扩展的SIR流感模型建立了常微分方程组。在我们的模型中,假设耐药性的出现和耐药菌株的演变。结果,敏感和抗性菌株的共存导致在疾病感染期间发生连续的流行病波。我们采用两种主要的控制策略:预防和抗病毒治疗,以研究它们在根除或缓解疾病爆发中的影响。然后,我们考虑到耐药性传播的随机性,将其发展为SDE形式的确定性模型。计算敏感和抗性菌株的基本繁殖数和对照繁殖数。我们还讨论了从确定性模型和随机模型中获得的针对该流行病最终规模的数值结果。

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