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新冠疫苗不良事件的因果过度概括损害科学诚信:一份技术报告。

Causal Overgeneralization of COVID-19 Vaccine Adverse Events Undermines Scientific Integrity: A Technical Report.

作者信息

Sahoo Debashis Priyadarshan

机构信息

Internal Medicine, All India Institute of Medical Sciences, Guwahati, Guwahati, IND.

出版信息

Cureus. 2025 Apr 11;17(4):e82121. doi: 10.7759/cureus.82121. eCollection 2025 Apr.

Abstract

Public discourse surrounding COVID-19 vaccines has often been marred by the overgeneralization of adverse events, where any health issue following vaccination is presumed to be vaccine-induced. This misattribution undermines pharmacovigilance efforts, making it harder to identify true safety signals, while fueling misinformation. Given the large-scale, global vaccination effort, coincidental health events are inevitable and must be distinguished from genuine adverse reactions using robust epidemiological and mechanistic assessments. This editorial highlights the importance of statistical rigor in vaccine safety evaluations, emphasizing the need for objective, evidence-based analysis to maintain scientific integrity and public trust.

摘要

围绕新冠疫苗的公众讨论常常因对不良事件的过度概括而受到影响,即接种疫苗后出现的任何健康问题都被假定为由疫苗引起。这种错误归因破坏了药物警戒工作,使得识别真正的安全信号变得更加困难,同时助长了错误信息的传播。鉴于大规模的全球疫苗接种工作,巧合的健康事件不可避免,必须通过强有力的流行病学和机理评估将其与真正的不良反应区分开来。这篇社论强调了疫苗安全性评估中统计严谨性的重要性,强调需要进行客观的、基于证据的分析,以维护科学诚信和公众信任。

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