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Coronavirus pandemic: A predictive analysis of the peak outbreak epidemic in South Africa, Turkey, and Brazil

机译:冠状病毒大流行:对南非,土耳其和巴西峰爆发流行病的预测分析

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In this research, we are interested in predicting the epidemic peak outbreak of the Coronavirus in South Africa, Turkey, and Brazil. Until now, there is no known safe treatment, hence the immunity system of the individual has a crucial role in recovering from this contagious disease. In general, the aged individuals probably have the highest rate of mortality due to COVID-19. It is well known that this immunity system can be affected by the age of the individual, so it is wise to consider an age-structured SEIR system to model Coronavirus transmission. For the COVID-19 epidemic, the individuals in the incubation stage are capable of infecting the susceptible individuals. All the mentioned points are regarded in building the responsible predictive mathematical model. The investigated model allows us to predict the spread of COID-19 in South Africa, Turkey, and Brazil. The epidemic peak outbreak in these countries is considered, and the estimated time of the end of infection is regarded by the help of some numerical simulations. Further, the influence of the isolation of the infected persons on the spread of COVID-19 disease is investigated. (C) 2020 Elsevier Ltd. All rights reserved.
机译:在这项研究中,我们有兴趣预测南非,土耳其和巴西冠状病毒的疫情爆发。到目前为止,没有已知的安全治疗,因此个人的免疫系统对从这种传染病中恢复的作用至关重要。一般而言,由于Covid-19,老年人可能具有最高的死亡率。众所周知,这种免疫系统可能受到个体年龄的影响,因此考虑年龄结构化的SEIR系统是模拟冠状病毒传播的明智。对于Covid-19流行病,潜伏期中的个体能够感染易感个体。所有提到的点都被视为构建负责任的预测数学模型。调查模式使我们能够预测南非,土耳其和巴西的Coid-19的传播。考虑了这些国家的疫情峰值爆发,并且通过一些数值模拟的帮助,感染结束的估计时间。此外,研究了感染者分离对Covid-19疾病传播的影响。 (c)2020 elestvier有限公司保留所有权利。

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