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通勤引发的传播链间竞争塑造了美国季节性流感病毒的流行态势。

Commuting-driven competition between transmission chains shapes seasonal influenza virus epidemics in the United States.

作者信息

de Jong Simon P J, Conlan Andrew, Han Alvin X, Russell Colin A

机构信息

Department of Medical Microbiology & Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam; Amsterdam, The Netherlands.

Department of Veterinary Medicine, University of Cambridge; Cambridge, United Kingdom.

出版信息

medRxiv. 2024 Aug 9:2024.08.09.24311720. doi: 10.1101/2024.08.09.24311720.

DOI:10.1101/2024.08.09.24311720
PMID:39148829
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11326338/
Abstract

Despite intensive study, much remains unknown about the dynamics of seasonal influenza virus epidemic establishment and spread in the United States (US) each season. By reconstructing transmission lineages from seasonal influenza virus genomes collected in the US from 2014 to 2023, we show that most epidemics consisted of multiple distinct transmission lineages. Spread of these lineages exhibited strong spatiotemporal hierarchies and lineage size was correlated with timing of lineage establishment in the US. Mechanistic epidemic simulations suggest that mobility-driven competition between lineages determined the extent of individual lineages' geographical spread. Based on phylogeographic analyses and epidemic simulations, lineage-specific movement patterns were dominated by human commuting behavior. These results suggest that given the locations of early-season epidemic sparks, the topology of inter-state human mobility yields repeatable patterns of which influenza viruses will circulate where, but the importance of short-term processes limits predictability of regional and national epidemics.

摘要

尽管进行了深入研究,但对于季节性流感病毒在美国每个季节的流行建立和传播动态,仍有许多未知之处。通过重建2014年至2023年在美国收集的季节性流感病毒基因组的传播谱系,我们发现大多数疫情由多个不同的传播谱系组成。这些谱系的传播表现出强烈的时空层次结构,谱系大小与在美国的谱系建立时间相关。机制性疫情模拟表明,谱系之间由流动性驱动的竞争决定了各个谱系的地理传播范围。基于系统地理学分析和疫情模拟,特定谱系的移动模式主要由人类通勤行为主导。这些结果表明,考虑到季节初期疫情爆发的地点,州际人类流动的拓扑结构产生了可重复的模式,即哪些流感病毒将在何处传播,但短期过程的重要性限制了区域和全国疫情的可预测性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/3f7947e0d3cc/nihpp-2024.08.09.24311720v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/4b94242401d9/nihpp-2024.08.09.24311720v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/dd85c711b876/nihpp-2024.08.09.24311720v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/14f883f2db5a/nihpp-2024.08.09.24311720v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/8c274a762146/nihpp-2024.08.09.24311720v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/3f7947e0d3cc/nihpp-2024.08.09.24311720v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/4b94242401d9/nihpp-2024.08.09.24311720v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/dd85c711b876/nihpp-2024.08.09.24311720v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/14f883f2db5a/nihpp-2024.08.09.24311720v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/8c274a762146/nihpp-2024.08.09.24311720v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c0/11326338/3f7947e0d3cc/nihpp-2024.08.09.24311720v1-f0005.jpg

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6
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