Deliberating the scientific evidence base for influenza transmission to raw milk consumers.

IF 3.3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2025-07-15 DOI:10.1111/risa.70077
Margaret E Coleman
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引用次数: 0

Abstract

Transmission of influenza A H5N1, commonly known as avian influenza or bird flu, from wild birds to cows on 1073 large US dairy farms in 17 states, and from cows to 41 dairy workers in five states, has raised concerns about limited evidence for transmission routes. Factors other than scientific evidence, particularly psychological, social, cultural, and political factors influencing different worldviews, support highly polarized risk perceptions about H5N1 in dairy cows, workers, and consumers. Of particular concern is the lack of scientific evidence to support federal warnings about the hypothesis that influenza transmits by the oral route to raw milk consumers. This review focuses on experimental evidence of disease transmission from 44 H5N1 inoculation studies conducted in primates, ferrets, cows, mice, cats, and dogs. Serious errors in extrapolation are apparent in the treatment of evidence for H5N1 in the media and some journal papers that unintentionally or intentionally amplify risk. Considerations of knowledge gaps and formal methods to bridge the gaps are introduced to motivate future risk analysis and facilitate building a coherent basis of knowledge to support development of rigorous evidence-based policies and risk messaging for H5N1.

审议流感传播给原料奶消费者的科学证据基础。
甲型H5N1流感(俗称禽流感或禽流感)在美国17个州的1073个大型奶牛场从野生鸟类传播给奶牛,在5个州从奶牛传播给41名奶牛场工人,这引起了人们对传播途径证据有限的担忧。除科学证据外的其他因素,特别是影响不同世界观的心理、社会、文化和政治因素,支持奶牛、工人和消费者对H5N1的高度两极化的风险认知。特别令人担忧的是,缺乏科学证据支持联邦政府关于流感通过口服途径传播给生奶消费者的假设的警告。本综述的重点是在灵长类动物、雪貂、奶牛、小鼠、猫和狗中进行的44项H5N1疫苗接种研究中疾病传播的实验证据。媒体和一些期刊论文对H5N1证据的处理明显存在严重的外推错误,这些错误无意或有意地放大了风险。介绍了对知识差距的考虑和弥合差距的正式方法,以激励未来的风险分析,并促进建立连贯的知识基础,以支持制定严格的循证政策和H5N1风险信息。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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