What Does the Infection Fatality Rate Really Measure?

I. Korolev
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引用次数: 2

Abstract

This paper studies what the infection fatality rate (IFR) really measures using the potential outcomes framework. I show that the IFR only reflects the outcome in one state. In contrast, popular causal parameters are all functions of the difference between outcomes in two states. I then demonstrate using a simple illustrative example that a disease that has no effect of the risk of dying can have a higher IFR than a disease that increases the risk of dying for everyone in the population. As a result, the IFR may fail to reflect the causal effect of a disease on the risk of dying and hence might not be a suitable measure of how deadly the disease is.
感染致死率真正衡量的是什么?
本文使用潜在结果框架研究了感染致死率(IFR)真正衡量的是什么。我表明IFR只反映了一个州的结果。相反,流行的因果参数都是两种状态下结果差异的函数。然后,我用一个简单的说明性例子来证明,一种对死亡风险没有影响的疾病,其IFR可能高于一种会增加人口中每个人死亡风险的疾病。因此,IFR可能无法反映疾病对死亡风险的因果影响,因此可能不是衡量该疾病致命程度的适当措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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