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在不断演变的大流行中追踪疫苗有效性,应对误导性的热门观点和流行病学谬误。

Tracking vaccine effectiveness in an evolving pandemic, countering misleading hot takes and epidemiologic fallacies.

作者信息

Morris Jeffrey S

机构信息

Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

出版信息

Am J Epidemiol. 2025 Apr 8;194(4):898-907. doi: 10.1093/aje/kwae280.

Abstract

With the emergence of Omicron during the pandemic and the establishment of antibody waning over time, vaccine effectiveness, especially against infection, declined sharply from the original levels seen after the initial rollout. However, studies have demonstrated that they still provided substantial protection vs severe/fatal disease even with Omicron and after waning. Social media has been rife with reports claiming vaccines provided no benefit and some even claiming they made things worse, often driven by simple presentations of raw observational data using erroneous arguments involving epidemiologic fallacies including the base rate fallacy, Simpson's paradox, and the ecological fallacy and ignoring the extensive bias especially from confounding that is an inherent feature of these data. Similar fallacious arguments have been made by some in promoting vaccination policies, as well. Generally, vaccine effectiveness cannot be accurately estimated from raw population summaries but instead require rigorous, careful studies using epidemiologic designs and statistical analysis tools attempting to adjust for key confounders and sources of bias. This article summarizes what aggregated evidence across studies reveals about effectiveness of the mRNA vaccines as the pandemic has evolved, chronologically summarized with emerging variants and highlighting some of the fallacies and flawed arguments feeding social media-based claims that have obscured society's collective understanding.

摘要

在疫情期间奥密克戎毒株出现,以及随着时间推移抗体减弱的情况下,疫苗有效性,尤其是针对感染的有效性,较最初推出后所见的原始水平大幅下降。然而,研究表明,即使面对奥密克戎毒株以及在抗体减弱后,它们对重症/致命疾病仍提供了实质性保护。社交媒体上充斥着声称疫苗没有益处的报道,甚至有人声称疫苗让情况变得更糟,这些报道往往是由简单呈现未经处理的观察数据推动的,使用了涉及流行病学谬误(包括基础比率谬误、辛普森悖论和生态谬误)的错误论点,并且忽略了这些数据中固有的广泛偏差,尤其是混杂因素造成的偏差。一些人在推动疫苗接种政策时也提出了类似的错误论点。一般来说,不能从原始的总体数据中准确估计疫苗有效性,而是需要使用流行病学设计和统计分析工具进行严谨、细致的研究,尝试调整关键的混杂因素和偏差来源。本文总结了随着疫情发展各项研究的汇总证据所揭示的mRNA疫苗有效性,按时间顺序结合新出现的变种进行总结,并突出一些导致社交媒体上那些掩盖了社会集体认知的说法的谬误和有缺陷的论点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0bf/11978612/29e85112ecba/kwae280f1.jpg

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