A Mutation Network Method for Transmission Analysis of Human Influenza H3N2

被引：3

作者：

Zhang, Chi ^{[1
]}

Wang, Yinghan ^{[1
]}

Chen, Cai ^{[1
]}

Long, Haoyu ^{[1
]}

Bai, Junbo ^{[1
]}

Zeng, Jinfeng ^{[1
]}

Cao, Zicheng ^{[1
]}

Zhang, Bing ^{[1
]}

Shen, Wei ^{[1
]}

Tang, Feng ^{[1
]}

Liang, Shiwen ^{[1
]}

Sun, Caijun ^{[1
]}

Shu, Yuelong ^{[1
,2
]}

Du, Xiangjun ^{[1
,2
]}

机构：

[1] Sun Yat Sen Univ, Sch Publ Hlth Shenzhen, Guangzhou 510006, Peoples R China

[2] Sun Yat Sen Univ, Minist Educ, Key Lab Trop Dis Control, Guangzhou 510006, Peoples R China

来源：

VIRUSES-BASEL | 2020年 / 12卷 / 10期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

influenza virus; mutation network; transmission; phylogenetic analysis; GLOBAL CIRCULATION; RECONSTRUCTION; EPIDEMIC; SCIENCE;

D O I：

10.3390/v12101125

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

Characterizing the spatial transmission pattern is critical for better surveillance and control of human influenza. Here, we propose a mutation network framework that utilizes network theory to study the transmission of human influenza H3N2. On the basis of the mutation network, the transmission analysis captured the circulation pattern from a global simulation of human influenza H3N2. Furthermore, this method was applied to explore, in detail, the transmission patterns within Europe, the United States, and China, revealing the regional spread of human influenza H3N2. The mutation network framework proposed here could facilitate the understanding, surveillance, and control of other infectious diseases.

引用

页数：11

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