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A Mutation Network Method for Transmission Analysis of Human Influenza H3N2
| Content Provider | MDPI |
|---|---|
| Author | Zhang, Chi Wang, Yinghan Chen, Cai Long, Haoyu Bai, Junbo Zeng, Jinfeng Cao, Zicheng Zhang, Bing Shen, Wei Tang, Feng Liang, Shiwen Sun, Caijun Shu, Yuelong Du, Xiangjun |
| Copyright Year | 2020 |
| Description | 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. |
| Starting Page | 1125 |
| e-ISSN | 19994915 |
| DOI | 10.3390/v12101125 |
| Journal | Viruses |
| Issue Number | 10 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-10-03 |
| Access Restriction | Open |
| Subject Keyword | Viruses Infectious Diseases Influenza Virus Mutation Network Transmission Phylogenetic Analysis |
| Content Type | Text |
| Resource Type | Article |