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

F. S. Salehi, S. Hashemi
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Abstract

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.
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在确定性和随机模型中控制流感爆发与耐药性的出现和演变
本文首先建立了一个扩展SIR流感模型的常微分方程组。在我们的模型中,假设耐药性的出现和耐药菌株的进化。因此,敏感菌株和耐药菌株共存导致疾病感染期间连续出现流行波。我们采用两种主要控制策略:预防和抗病毒治疗来研究它们在根除或减轻疫情方面的影响。在此基础上,建立了考虑耐药性传播随机性的确定性SDE模型。计算了敏感菌株和耐药菌株的基本繁殖数和对照繁殖数。本文还讨论了确定性模型和随机模型对疫情最终规模的数值计算结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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