Based on the virological characteristics of COVID-19 epidemic globally,the whole data of the first COVID-19 epidemic onslaught in Tianjin city in December 2022 were analyzed in real time based on big data and models.The number of new crown-infected stock on the same day in Tianjin reaches its peak from December 17 to 23,and this outbreak ended in early January 2023.Tianjin has sufficient healthcare staff resources,with general beds basically meeting the demand,and a relatively tight number of ICU beds that cannot accommodate all the critically ill patients during the peak period.In the face of strong COVID-19 epidemic,Tianjin has actively adjusted and optimized its prevention and control policies,upgraded its medical treatment capacity,and coordinated the allocation of medical resources to ensure the supply of medical resources for key populations.In the face of a possible next wave of epidemic impact or a possible state of emergency,it is still necessary to persist in improving the medical structure in the long term,rapidly adjusting the existing public health emergency management system,and upgrading the capacity of medical services in a timely manner,so as to minimize personnel or economic losses due to insufficient preparation.
关键词
大数据分析/SEIR模型/疫情对策/应急管理
Key words
big data analytics/SEIR model/epidemic response/emergency management
万方数据