Turkyilmazoglu Mustafa
Department of Mathematics, Hacettepe University, 06532-Beytepe, Ankara, Turkey.
Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Physica A. 2022 Jul 15;598:127429. doi: 10.1016/j.physa.2022.127429. Epub 2022 Apr 22.
A new modification of the SIR epidemic model incorporating vaccination is proposed in the present paper. The recent trend of vaccinating against COVID-19 pandemic reveals a strong control of infectious disease. On the other hand, it is observed in some countries that, the vaccine application offers less control over the spread of virus, since some portion of vaccinated people is not totally protected/immuned and viable to infection again after a while due to weak/loss immunity offered by the vaccine. This requires transition from vaccinated department to infected for COVID-19. This character of COVID-19 helps us reconsideration of the vaccinated department by letting some part of it being exposed to the infection again. Taking this into account, as a result of modification of the SIR model, the epidemiology is now governed with three main epidemic dimensionless parameters, having provided an initial fraction of infected individuals. The dimensionless model with these parameters is analyzed initially from the stability point of view. The effects of weak immunity are then illustrated numerically on some chosen parameter range. How some of the countries applying the COVID-19 vaccine programs affected by weak/loss immunity is eventually examined with the modified model. The rate of vaccination as well as the basic Reproduction number are found to affect the epidemic demography of the population subject to weak or loss of immunity. In the case of a high vaccination rate, the countries are not anticipated to be highly influenced by the weak immunity of low level, whereas weak immunity prolongs the contagious disease by appearance of secondary multiple peaks in the epidemic compartments with relatively small vaccination rates and basic Reproductive numbers.
本文提出了一种纳入疫苗接种的SIR流行病模型的新修正。近期针对新冠疫情进行疫苗接种的趋势显示出对传染病的有力控制。另一方面,在一些国家观察到,疫苗应用对病毒传播的控制作用较小,因为部分接种疫苗的人并未得到完全保护/免疫,且由于疫苗提供的免疫力较弱/丧失,一段时间后仍有可能再次感染。这就要求新冠疫情中出现从接种疫苗人群向感染人群的转变。新冠疫情的这一特征促使我们重新考虑接种疫苗人群,让其中一部分人再次暴露于感染风险中。考虑到这一点,对SIR模型进行修正后,现在流行病学由三个主要的无量纲流行病参数来控制,并给出了初始感染个体比例。首先从稳定性角度分析了具有这些参数的无量纲模型。然后在一些选定的参数范围内对弱免疫力的影响进行了数值说明。最终用修正后的模型研究了一些实施新冠疫苗接种计划的国家是如何受到弱免疫力/免疫力丧失影响的。发现疫苗接种率以及基本再生数会影响免疫力较弱或丧失的人群的流行人口统计学特征。在高疫苗接种率的情况下,预计这些国家不会受到低水平弱免疫力的严重影响,而在疫苗接种率和基本再生数相对较低的情况下,弱免疫力会通过疫情分区中出现二次多峰的情况延长传染病的传播时间。