A Mutation Network Method for Transmission Analysis of Human Influenza H3N2
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 ana...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Viruses |
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| Online Access: | https://www.mdpi.com/1999-4915/12/10/1125 |
| _version_ | 1797551857430691840 |
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| author | Chi Zhang Yinghan Wang Cai Chen Haoyu Long Junbo Bai Jinfeng Zeng Zicheng Cao Bing Zhang Wei Shen Feng Tang Shiwen Liang Caijun Sun Yuelong Shu Xiangjun Du |
| author_facet | Chi Zhang Yinghan Wang Cai Chen Haoyu Long Junbo Bai Jinfeng Zeng Zicheng Cao Bing Zhang Wei Shen Feng Tang Shiwen Liang Caijun Sun Yuelong Shu Xiangjun Du |
| author_sort | Chi Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T15:52:04Z |
| format | Article |
| id | doaj.art-bed4663edc304b05a7530202b54dfb28 |
| institution | Directory Open Access Journal |
| issn | 1999-4915 |
| language | English |
| last_indexed | 2024-03-10T15:52:04Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Viruses |
| spelling | doaj.art-bed4663edc304b05a7530202b54dfb282023-11-20T15:58:42ZengMDPI AGViruses1999-49152020-10-011210112510.3390/v12101125A Mutation Network Method for Transmission Analysis of Human Influenza H3N2Chi Zhang0Yinghan Wang1Cai Chen2Haoyu Long3Junbo Bai4Jinfeng Zeng5Zicheng Cao6Bing Zhang7Wei Shen8Feng Tang9Shiwen Liang10Caijun Sun11Yuelong Shu12Xiangjun Du13School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, ChinaCharacterizing 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.https://www.mdpi.com/1999-4915/12/10/1125influenza virusmutation networktransmissionphylogenetic analysis |
| spellingShingle | Chi Zhang Yinghan Wang Cai Chen Haoyu Long Junbo Bai Jinfeng Zeng Zicheng Cao Bing Zhang Wei Shen Feng Tang Shiwen Liang Caijun Sun Yuelong Shu Xiangjun Du A Mutation Network Method for Transmission Analysis of Human Influenza H3N2 Viruses influenza virus mutation network transmission phylogenetic analysis |
| title | A Mutation Network Method for Transmission Analysis of Human Influenza H3N2 |
| title_full | A Mutation Network Method for Transmission Analysis of Human Influenza H3N2 |
| title_fullStr | A Mutation Network Method for Transmission Analysis of Human Influenza H3N2 |
| title_full_unstemmed | A Mutation Network Method for Transmission Analysis of Human Influenza H3N2 |
| title_short | A Mutation Network Method for Transmission Analysis of Human Influenza H3N2 |
| title_sort | mutation network method for transmission analysis of human influenza h3n2 |
| topic | influenza virus mutation network transmission phylogenetic analysis |
| url | https://www.mdpi.com/1999-4915/12/10/1125 |
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