子宫颈癌和HIV疾病的最优控制和成本效益协同动力学

IF 0.2 Q4 MATHEMATICS

Italian Journal of Pure and Applied Mathematics Pub Date : 2017-08-06 DOI:10.11648/j.pamj.20170604.14

Geomira George Sanga, O. Makinde, E. Massawe, L. Namkinga

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引用次数: 0

摘要

建立了宫颈癌与HIV(人类免疫缺陷病毒)合并感染的确定性模型，并对其进行了严密的分析。将最优控制理论应用到模型中，研究了在三种控制条件下控制宫颈癌与HIV合并感染传播所需的努力水平;预防、筛查和治疗控制策略。数值解表明，应用最优预防、筛查和治疗控制策略相结合后，HPV(人乳头瘤病毒)感染、宫颈癌、宫颈癌与艾滋病毒、宫颈癌与艾滋病、艾滋病毒感染和艾滋病的感染人数显著减少。然而，增量成本效益比(ICER)表明，预防和治疗相结合的控制策略是低成本最大限度地减少艾滋病毒感染者宫颈癌的最佳控制策略。

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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Cervical Cancer and HIV Diseases Co-dynamics with Optimal Control and Cost Effectiveness

The deterministic model for co-infection of cervical cancer and HIV (Human Immunodeficiency Virus) diseases is formulated and rigorously analyzed. The optimal control theory is employed to the model to study the level of effort is needed to control the transmission of co-infection of cervical cancer and HIV diseases using three controls; prevention, screening and treatment control strategies. Numerical solutions show a remarkable decrease of infected individuals with HPV (Human Papilloma Virus) infection, cervical cancer, cervical cancer and HIV, cervical cancer and AIDS (Acquire Immunodeficiency Syndrome), HIV infection and AIDS after applying the combination of the optimal prevention, screening and treatment control strategies. However, Incremental Cost-Effective Ratio (ICER) shows that the best control strategy of minimizing cervical cancer among HIV-infected individuals with low cost is to use the combination of prevention and treatment control strategies.

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来源期刊

Italian Journal of Pure and Applied Mathematics MATHEMATICS-

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： The “Italian Journal of Pure and Applied Mathematics” publishes original research works containing significant results in the field of pure and applied mathematics.