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Stochastic Approach for Witnessing the Incubation Period of a Patient

机译:目睹患者潜伏期的随机方法

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The spread of HIV remains a huge investigation in this present environment. A Mathematical or Statistical model must be developed for estimating parameters related to the epidemic, the death rate of affected cells or the infectious viral production rate. Inability to carry out people evaluates their HIV status has led to widespread lack of correct and comprehensive data on HIV infection, while an individual first involved. Stochastic model measures the predicted point of threshold through discrete and continuous distribution attained by many researchers in last two decades. This paper develops a stochastic model for the time of HIV epidemic in a homosexual population. Expected time of incubation period derived through shock model approach. The fitting of information sets generated through simulation methods that the Alpha statistical distribution ought to be assumed because the epidemic distribution planned the time of stochastic model to search out HIV epidemics. To check the validity of analytical arguments and to explore the dynamics of disease above the epidemic threshold, this study concludes, the possible significance of the result is that transmit HIV in incubation stage is quicker as the intensity of the immune system is lower.
机译:艾滋病毒的传播仍然是在本环境环境中的巨大调查。必须开发数学或统计模型以估计与流行病相关的参数,受影响细胞的死亡率或传染病的病毒生产率。无能为止人民评估他们的艾滋病毒状态导致缺乏对艾滋病毒感染的正确和综合数据,而一个人首次参与其中。随机模型通过众多研究人员在过去二十年中获得的离散和连续分布来测量预测的阈值。本文在同性恋群体中开发了艾滋病毒流行时间的随机模型。通过冲击模型方法导出潜伏期的预期时间。通过仿真方法产生的信息集的拟合,即alpha统计分布应该被假设,因为流行分布计划随机模型寻找艾滋病毒流行病的时间。为了检查分析争论的有效性并探讨疫情高于流行病阈值的动态,这项研究得出结论,结果的可能意义于,随着免疫系统的强度较低,孵育阶段的发射艾滋病毒更快。

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