应用Taylor模型验证HIV与乙肝病毒重组SEITR流行模型的安全性

Asmudik Asmudik, D. Adzkiya, M. Mardlijah, H. Hariyanto
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摘要

人类免疫缺陷病毒(HIV)是一种艾滋病(获得性免疫缺陷综合症)病毒,它攻击免疫系统,目前尚无治愈方法。当免疫系统下降时,就容易患上乙型肝炎等疾病。为了减小子总体数量的误差值,我们使用了区间逼近。其中一种模拟计算方法是初始区间变量数是泰勒模型。Taylor的模型可以用来验证感染HIV和乙肝的人数不会超过指定的不安全集合数。在给定初始条件和参数的情况下,计算系统在一定时间内达到的状态集。初始条件分为三种场景,一组负担得起的状态,可以进行安全验证。如果没有不安全的状态集,那么这三个场景的安全性验证的结果就是所有三个场景的结果都是安全的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Safety Verification of SEITR Epidemic Model on Recombination HIV and Hepatitis B Virus using Taylor Model
Human Immunodeficiency Virus (HIV) is an AIDS (Acquired Immuno Deficiency Syndrome) virus that attacks the immune system for which there is no cure. When the immune system has decreased, it is prone to diseases such as Hepatitis B disease. To reduce the error value of the number of subpopulations, we use an interval approximation. One of the simulation calculations that the number of variables initially intervals is Taylor model. Taylor's model can be used to verify that the number of people infected with HIV and Hepatitis B will not exceed the specified number of unsafe sets. To calculate the set of states that are reached by the system over a certain period of time, given the initial conditions and parameters. The initial condition is divided into three scenarios, an affordable set of states, safety verification can be done. As a result of the safety verification of the three scenarios provided there is no set of states that are not safe, so the results of all three scenarios are safe.
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