Poor vaccine responders mask the true trend in vaccine effectiveness against progression to severe disease

IF 4.5 3区 医学 Q2 IMMUNOLOGY
Natalie E. Dean , M. Elizabeth Halloran , Veronika I. Zarnitsyna
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Abstract

Vaccines can reduce an individual's risk of infection and their risk of progression to severe disease given infection. The latter effect is less commonly estimated but is relevant for vaccine impact modeling and cost-effectiveness calculations. Using a motivating example from the COVID-19 literature, we note how vaccine effectiveness against progression to severe disease can appear to increase from below 0 % to over 70 % within 8 months. With true biological strengthening of this magnitude being unlikely, we use a mathematical modeling framework to identify parameter combinations where this phenomenon can occur. Fundamental features are an immunocompetent population with high initial protection against infection, contrasted with a vulnerable subpopulation with poor vaccine response against infection and progression. As a result, the earliest infections are among those with the weakest protection against severe disease. This work highlights methodological challenges in isolating a vaccine's effect on progression to severe disease after infection, and it signals the need for refined analytical methods to adjust for differences between the vaccinated infected and the unvaccinated infected populations.
疫苗反应不佳者掩盖了疫苗在防止疾病恶化方面的真实效果趋势
疫苗可以降低个人的感染风险以及感染后恶化为严重疾病的风险。后一种效应较少被估计,但与疫苗影响建模和成本效益计算相关。通过 COVID-19 文献中一个有启发性的例子,我们注意到在 8 个月内,疫苗对严重疾病进展的预防效果似乎从 0% 以下增加到 70% 以上。由于这种程度的真正生物强化不太可能发生,我们使用数学建模框架来确定可能出现这种现象的参数组合。基本特征是免疫能力强的人群对感染具有较高的初始保护能力,而易受感染的亚人群对感染和疾病进展的疫苗反应较差。因此,最早感染的人群对严重疾病的保护能力最弱。这项工作凸显了在分离疫苗对感染后严重疾病进展的影响时所面临的方法学挑战,并表明需要改进分析方法,以调整已接种疫苗的感染人群与未接种疫苗的感染人群之间的差异。
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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来源期刊
Vaccine
Vaccine 医学-免疫学
CiteScore
8.70
自引率
5.50%
发文量
992
审稿时长
131 days
期刊介绍: Vaccine is unique in publishing the highest quality science across all disciplines relevant to the field of vaccinology - all original article submissions across basic and clinical research, vaccine manufacturing, history, public policy, behavioral science and ethics, social sciences, safety, and many other related areas are welcomed. The submission categories as given in the Guide for Authors indicate where we receive the most papers. Papers outside these major areas are also welcome and authors are encouraged to contact us with specific questions.
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