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A model for immunological correlates of protection.

机译:保护的免疫相关模型。

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Immunological assays measure characteristics of the immune system, such as antibody levels, specific to certain diseases. High assay values are often associated with protection from disease. A question of interest is how the relationship between assay values and subsequent development of disease should be quantitatively modelled. Existing approaches successfully model the relationship for high assay values, where the probability of developing disease is low. However at low assay values, the probability of developing disease is more closely associated with factors such as disease prevalence rates and an individual's chance of exposure to infection; these are less well captured by existing models. This paper presents a model that accommodates both assay values and factors independent of assay values, enabling protection from disease to be modelled over the whole range of assay values and proposing a method for predicting the efficacy of a vaccine from the assays of vaccinees and non-vaccinees.
机译:免疫测定法可测量免疫系统的特征,例如某些疾病特有的抗体水平。高测定值通常与疾病防护相关。一个有趣的问题是如何定量分析测定值与疾病后续发展之间的关系。现有方法成功地模拟了高测定值之间的关系,而在这种情况下,发生疾病的可能性很低。但是,在较低的测定值下,患病的可能性与诸如疾病患病率和个人接触感染的机会等因素更紧密相关。现有模型无法很好地捕捉到这些。本文提出了一个模型,该模型可同时容纳化验值和与化验值无关的因素,从而能够在整个化验值范围内对疾病的防护进行建模,并提出一种从被疫苗和非乙肝疫苗的分析中预测疫苗功效的方法疫苗。

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