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关于疾病传播方式及大流行病的隐秘形态:约书亚·韦茨的一篇综述

On modes of disease transmission and the hidden shape of pandemics: A review of by Joshua Weitz.

作者信息

Ogbunugafor C Brandon

机构信息

Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06511, USA.

Public Health Modeling Unit, Yale School of Public Health, 60 College Street, New Haven, CT 06510, USA.

出版信息

Virus Evol. 2024 Dec 12;10(1):veae109. doi: 10.1093/ve/veae109. eCollection 2024.

DOI:10.1093/ve/veae109
PMID:39722684
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11669313/
Abstract

The importance of asymptomatic transmission was a key discovery in our efforts to study and intervene in the COVID-19 pandemic. In (Johns Hopkins University Press, 2024), Joshua Weitz uses this aspect of SARS-CoV-2 natural history to discuss many counterintuitive characteristics of the pandemic. In this essay, I engage the arguments in the book, and discuss why asymptomatic transmission is such a critical dimension of the study of infectious diseases. I explore ideas contained within and connect them to related issues in evolutionary virology and disease ecology, including epistemic uncertainty and the evolution of virulence. Furthermore, I comment on the broader messages in the text, including the gap between scientific knowledge and social understanding.

摘要

无症状传播的重要性是我们研究和干预新冠疫情过程中的一项关键发现。约书亚·韦茨在《新冠疫情:科学、社会与政策》(约翰·霍普金斯大学出版社,2024年)一书中利用新冠病毒自然史的这一方面来探讨疫情的许多违反直觉的特征。在本文中,我探讨了该书中的论点,并讨论了为何无症状传播是传染病研究的一个关键维度。我探究了书中包含的观点,并将它们与进化病毒学和疾病生态学中的相关问题联系起来,包括认知不确定性和毒力的进化。此外,我对文中更广泛的信息发表评论,包括科学知识与社会理解之间的差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03e6/11669313/085aece7be84/veae109f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03e6/11669313/302341a275ae/veae109f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03e6/11669313/085aece7be84/veae109f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03e6/11669313/302341a275ae/veae109f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03e6/11669313/085aece7be84/veae109f2.jpg

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本文引用的文献

1
Evolutionary Invasion Analysis of Modern Epidemics Highlights the Context-Dependence of Virulence Evolution.现代传染病的进化入侵分析强调了毒力进化的语境依赖性。
Bull Math Biol. 2024 Jun 14;86(8):88. doi: 10.1007/s11538-024-01313-0.
2
Intermediate levels of asymptomatic transmission can lead to the highest epidemic fatalities.中等水平的无症状传播会导致最高的疫情死亡人数。
PNAS Nexus. 2023 Mar 29;2(4):pgad106. doi: 10.1093/pnasnexus/pgad106. eCollection 2023 Apr.
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Of variants and vaccines.关于变种和疫苗。
Cell. 2021 Dec 22;184(26):6222-6223. doi: 10.1016/j.cell.2021.11.013.
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Viral dynamics of acute SARS-CoV-2 infection and applications to diagnostic and public health strategies.急性 SARS-CoV-2 感染的病毒动力学及其在诊断和公共卫生策略中的应用。
PLoS Biol. 2021 Jul 12;19(7):e3001333. doi: 10.1371/journal.pbio.3001333. eCollection 2021 Jul.
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Modeling COVID-19 scenarios for the United States.美国的 COVID-19 情景建模。
Nat Med. 2021 Jan;27(1):94-105. doi: 10.1038/s41591-020-1132-9. Epub 2020 Oct 23.
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SEIR model for COVID-19 dynamics incorporating the environment and social distancing.纳入环境因素和社交距离的COVID-19动态SEIR模型。
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A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model.基于确定性 SEIR 模型的 COVID-19 疫情模拟。
Front Public Health. 2020 May 28;8:230. doi: 10.3389/fpubh.2020.00230. eCollection 2020.
8
Caution Warranted: Using the Institute for Health Metrics and Evaluation Model for Predicting the Course of the COVID-19 Pandemic.注意:使用健康指标与评估研究所模型预测 COVID-19 大流行的进程存在风险。
Ann Intern Med. 2020 Aug 4;173(3):226-227. doi: 10.7326/M20-1565. Epub 2020 Apr 14.
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VIRULENCE.毒力
Evolution. 1994 Oct;48(5):1423-1437. doi: 10.1111/j.1558-5646.1994.tb02185.x.
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Distinguishing between indirect and direct modes of transmission using epidemiological time series.利用流行病学时间序列区分间接和直接传播模式。
Am Nat. 2013 Feb;181(2):E43-54. doi: 10.1086/668826. Epub 2013 Jan 10.