混合免疫和免疫缺陷易感个体的动态变化以及 COVID-19 疫苗接种的三个阶段

E. A. Nwaibeh, M. K. M. Ali, M. O. Adewole
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引用次数: 0

摘要

世界卫生组织披露,混合免疫个体和免疫缺陷个体是两类不同的 COVID-19 病毒易感个体。为了模拟世界卫生组织在马来西亚实施的疫苗接种计划的三个阶段中两类不同的易感人群的独特特征和动态变化,我们开发了一个十二区 SSVEIHQR-D 流行病学模型。该模型旨在通过将现实生活中的数据拟合到模型中,并获得最新的繁殖数量估计值,从而准确捕捉 COVID-19 病毒的传播情况。研究还重点评估了当前的控制措施,并探讨了根除病毒和减少未来爆发的策略。对模型的数学分析包括对稳定性、平衡点、基本繁殖数 R0、最佳控制策略和敏感性分析的研究。模型参数的估算和拟合使用了马来西亚卫生部的每日情况报告。根据拟合参数值得到的基本繁殖数值显示了稳定性,并更真实地反映了当前的疫情。此外,还根据研究结果计算并解释了群体免疫阈值。最后,从模型结果中得出的实用见解和建议为政府机构、公共卫生组织和干预机构提供了信息,旨在控制 COVID-19 病毒的传播。
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The dynamics of hybrid-immune and immunodeficient susceptible individuals and the three stages of COVID-19 vaccination
The World Health Organization has disclosed that the hybrid-immune and immunodeficient individuals are two distinct classes of individuals susceptible to the COVID-19 virus. To model this unique characteristics of two distinct categories of susceptible individuals and the dynamics of the three phases of a vaccination program implemented by the World Health Organization in Malaysia, which have not been accounted for in previous studies, a twelve compartmental SSVEIHQR-D epidemiological model was developed. This model aimed to accurately capture the spread of the COVID-19 virus by fitting real-life  data to the model and obtaining updated estimates of the reproduction number. The study also focused on assessing current control measures and exploring strategies to eradicate the virus and mitigate future outbreaks. Mathematical analyses of the model included investigations into stability, equilibrium points, the basic reproduction number R0, optimal control strategies, and sensitivity analyses. Estimation and fitting of the model parameters were conducted using daily situation reports from the Ministry of Health of Malaysia. The obtained value of the basic reproduction number, based on fitted parameter values, indicated stability and reflected the current pandemic situation more realistically. Additionally, the herd immunity threshold was calculated and interpreted in the context of the study findings. Finally, practical insights and recommendations derived from the model’s results were provided to inform government agencies, public health organizations, and intervention bodies, aimed at controlling the spread of the COVID-19 virus.
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