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解析病毒干扰在扰乱斯德哥尔摩北部呼吸道合胞病毒两年一次的流行中所起的作用。

Unraveling the Role of Viral Interference in Disrupting Biennial RSV Epidemics in Northern Stockholm.

作者信息

Li Ke, Hamrin Johan, Weinberger Daniel M, Pitzer Virginia E

机构信息

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden.

出版信息

medRxiv. 2024 Aug 9:2024.08.09.24310749. doi: 10.1101/2024.08.09.24310749.

Abstract

Respiratory syncytial virus (RSV) primarily impacts infants and older adults, with seasonal winter outbreaks in temperate countries. Biennial cycles of RSV activity have also been identified in Northern Europe and some states in the United States. Delayed RSV activity was reported worldwide during the 2009 influenza pandemic, and a disrupted biennial pattern of RSV activity was observed in northern Stockholm following the pandemic. Biennial patterns shifted to early/large outbreaks in even-numbered years and late/small outbreaks in odd-numbered years. However, the mechanisms underpinning this change in pattern remain unknown. In this work, we constructed an age-stratified mechanistic model to explicitly test three factors that could lead to the change in RSV transmission dynamics: 1) birth rates, 2) temperatures, and 3) viral interference. By fitting the model to weekly RSV admission data over a 20-year period and comparing different models, we found that viral interference from influenza was the only mechanism that explained the shifted biennial pattern. Our work demonstrates the complex interplay between different respiratory viruses, providing evidence that supports the presence of interactions between the H1N1 pandemic influenza virus and RSV at the population level, with implications for future public health interventions.

摘要

呼吸道合胞病毒(RSV)主要影响婴儿和老年人,在温带国家有季节性的冬季疫情爆发。在北欧和美国的一些州也发现了RSV活动的两年周期。2009年流感大流行期间,全球范围内报告了RSV活动延迟,大流行后在斯德哥尔摩北部观察到RSV活动的两年模式被打乱。两年模式转变为偶数年早期/大规模爆发,奇数年晚期/小规模爆发。然而,这种模式变化的潜在机制仍然未知。在这项工作中,我们构建了一个年龄分层的机制模型,以明确测试可能导致RSV传播动态变化的三个因素:1)出生率,2)温度,3)病毒干扰。通过将模型与20年期间的每周RSV入院数据拟合,并比较不同模型,我们发现来自流感的病毒干扰是解释这种转变的两年模式的唯一机制。我们的工作展示了不同呼吸道病毒之间复杂的相互作用,为支持甲型H1N1流感大流行病毒与RSV在人群水平上存在相互作用提供了证据,这对未来的公共卫生干预具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7352/11326348/00a25e38e54e/nihpp-2024.08.09.24310749v1-f0001.jpg

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