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A Simple Method of Measuring Vaccine Effects on Infectiousness and Contagion

机译:一种测量疫苗对传染性和传染性影响的简单方法

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The vaccination of one person may prevent another from becoming infected, either because the vaccine may prevent the first person from acquiring the infection and thereby reduce the probability of transmission to the second, or because, if the first person is infected, the vaccine may impair the ability of the infectious agent to initiate new infections. The former mechanism is referred as a contagion effect and the latter is referred as an infectiousness effect. By applying a principal stratification approach, the conditional infectiousness effect has been defined, but the contagion effect is not defined using this approach. Recently, new definitions of unconditional infectiousness and contagion effects were provided by applying a mediation analysis approach. In addition, a simple relationship between conditional and unconditional infectiousness effects was found under a number of assumptions. These two infectiousness effects can be assessed by very simple estimation and sensitivity analysis methods under the assumptions. Nevertheless, such simple methods to assess the contagion effect have not been discussed. In this paper, we review the methods of assessing infectiousness effects, and apply them to the inference of the contagion effect. The methods provided here are illustrated with hypothetical vaccine trial data.
机译:一个人的疫苗接种可能会阻止另一个人被感染,这是因为疫苗可能阻止第一人感染,从而降低了传染给第二人的可能性,或者因为如果第一人被感染,则疫苗可能会受损传染原引发新感染的能力。前者被称为传染效应,后者被称为传染效应。通过应用主要的分层方法,已经定义了条件传染效应,但是使用这种方法并未定义传染效应。最近,通过应用调解分析方法提供了无条件传染性和传染效应的新定义。另外,在许多假设下,有条件和无条件传染性效应之间存在简单关系。在假设条件下,可以通过非常简单的估计和敏感性分析方法来评估这两种传染性影响。然而,尚未讨论这种评估传染效应的简单方法。在本文中,我们回顾了评估传染性效应的方法,并将其应用于对传染性效应的推断。此处提供的方法以假设的疫苗试验数据进行说明。

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