School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510006, China.
Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou 510006, China.
Viruses. 2020 Oct 3;12(10):1125. doi: 10.3390/v12101125.
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.
描述空间传播模式对于更好地监测和控制人类流感至关重要。在这里，我们提出了一个突变网络框架，利用网络理论来研究人类 H3N2 流感的传播。基于突变网络，传播分析从全球模拟人类 H3N2 流感中捕捉到了循环模式。此外，该方法还应用于详细研究欧洲、美国和中国的传播模式，揭示了人类 H3N2 流感的区域传播。这里提出的突变网络框架可以促进对其他传染病的理解、监测和控制。
