Yin Xiling, Xiao Songjian, Zhang Xuebao, Ruan Feng
Department of Health Emergency Management, Center for Disease Control and Prevention of Zhuhai City, Zhuhai City, Guangdong Province, China.
China CDC Wkly. 2024 Nov 1;6(44):1142-1146. doi: 10.46234/ccdcw2024.232.
WHAT IS ALREADY KNOWN ABOUT THIS TOPIC?: The investigations and analyses limited to epidemiological characteristics are insufficient to analyze the spread patterns of norovirus outbreaks in schools.
WHAT IS ADDED BY THIS REPORT?: Norovirus outbreaks in primary schools are a dynamic process that spreads through social networks. The use of a social network analysis method to measure and identify key nodes for simulating control evolution was proven effective.
WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE?: Infected students exhibit priority connection characteristics at different developmental stages in the network topology. Identifying and deliberately targeting key nodes could destroy network connectivity and help reduce the spread of the outbreak.
关于该主题已知的信息有哪些?:仅局限于流行病学特征的调查和分析不足以分析诺如病毒在学校爆发的传播模式。
本报告新增了哪些内容?:小学中的诺如病毒爆发是一个通过社交网络传播的动态过程。事实证明,使用社交网络分析方法来测量和识别关键节点以模拟控制演变是有效的。
对公共卫生实践有哪些启示?:受感染的学生在网络拓扑结构的不同发展阶段表现出优先连接特征。识别并有意针对关键节点可以破坏网络连通性,并有助于减少疫情的传播。