两株结核菌和 COVID-19 疫苗接种模型的数学建模:联合感染研究与成本效益分析

Raymond Fosu Appiah, Zhen Jin, Junyuan Yang, Joshua Kiddy K. Asamoah, Yuqi Wen
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引用次数: 0

摘要

在包括加纳在内的许多国家,结核病和 COVID-19 共同感染是当前公共卫生的主要问题。因此,为了探索两种结核菌株对 COVID-19 的影响,我们提出了结核病和 COVID-19 共同感染模型。这项研究还提供了最经济、最有效的控制方法,以减少结核病和 COVID-19 的共同感染。根据两种结核菌株的行为模式和 COVID-19 的繁殖数量,研究了共感染模型的稳定性。我们探讨了参数的敏感性,以研究耐药和药敏结核菌株对 COVID-19 共同感染的影响。我们确定了最具成本效益的最佳治疗策略,旨在最大限度地提高疗效,同时最大限度地降低结核病和/或 COVID-19 的发病率、成本效益和优化方法。这项工作的成果有助于更好地了解结核病和 COVID-19 的流行病学,并为在全球类似环境中实施必要的干预措施以尽量减轻结核病和 COVID-19 的负担提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical modeling of two strains tuberculosis and COVID-19 vaccination model: a co-infection study with cost-effectiveness analysis
Tuberculosis and COVID-19 co-infection is currently the major issue of public health in many nations, including Ghana. Therefore, to explore the effects of the two Tuberculosis strains on COVID-19, we suggest a Tuberculosis and COVID-19 co-infection model. The study also provides the most economical and effective control methods to reduce the co-infection of tuberculosis and COVID-19. Based on the behavioral patterns of the two Tuberculosis strains and COVID-19 reproduction numbers, the stability of the co-infection model is examined. We explore the sensitivity of the parameters to examine the effect of the drug-resistant and drug-sensitive strain of Tuberculosis on the co-infection of COVID-19. We determine the most cost-effective and optimal treatment strategies that aim to maximize outcomes while minimizing tuberculosis and/or COVID-19 incidences, cost-effectiveness, and optimization approaches. The outcomes of this work contribute to a better understanding of Tuberculosis and COVID-19 epidemiology and provide insights into implementing interventions needed to minimize Tuberculosis and COVID-19 burden in similar settings worldwide.
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