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
Title: A Mutation Network Method for Transmission Analysis of Human Influenza H3N2 Cord-id: s0hfo4iv Document date: 2020_10_3
ID: s0hfo4iv
Snippet: 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
Document: 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.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date