Poonia Ashish, Chakrabarty Siddhartha P
Department of Mathematics, Indian Institute of Technology Guwahati, Guwahati, India.
Nonlinear Dyn. 2022;108(3):2767-2792. doi: 10.1007/s11071-022-07323-8. Epub 2022 Mar 11.
A two-strain model, comprising of drug-sensitive and drug-resistant strains, is proposed for the dynamics of Human Immunodeficiency Virus (HIV) spread in a community. A treatment model is introduced by taking drug adherence into account. The treatment-free model is analyzed for the effect of treatment availability and drug adherence on disease dynamics. The analysis revealed that for the treatment-free model, at least one strain faces competitive exclusion, and co-existence of both strains is not possible. On the contrary, both strains may co-exist in presence of treatment. The analysis carried out was both local, as well as global. A comprehensive bifurcation analysis showed periodic behaviour and all solutions approached a stable limit cycle for a wide range of parametric values. Overall, we concluded that the treatment availability and drug adherence play a significant role in determining the dynamics of HIV spread. Numerical simulations are performed to validate the analytical results using MATLAB.
提出了一种由药物敏感株和耐药株组成的双株模型,用于研究人类免疫缺陷病毒(HIV)在社区中的传播动态。通过考虑药物依从性引入了一个治疗模型。对无治疗模型进行了分析,以研究治疗可及性和药物依从性对疾病动态的影响。分析表明,对于无治疗模型,至少有一种毒株面临竞争排斥,两种毒株不可能共存。相反,在有治疗的情况下,两种毒株可能共存。所进行的分析包括局部分析和全局分析。全面的分岔分析表明,在广泛的参数值范围内,系统呈现周期性行为,所有解都趋向于一个稳定的极限环。总体而言,我们得出结论,治疗可及性和药物依从性在决定HIV传播动态方面起着重要作用。使用MATLAB进行了数值模拟以验证分析结果。