The COVID-19 outbreak at the end of 2019 was the most significant public health emergency of the 21st century to date,with the virus mutating in just three years,with the"Delta" and "Omicron" mutant strains spreading more rapidly than their predecessors.The virus has rapidly spread around the world.The local authorities in China have shifted from an early containment strategy to a normalised epidemic control strategy,adhering to a general strategy of "external prevention of importation and internal prevention of rebound"and a general policy of "dynamic zeroing".However,the constant mutation of the virus exceeded the knowledge of local governments and made prevention and control more difficult.Some cities have encountered similar problems due to inappropriate emergency management responses,resulting in higher costs for epidemic prevention.Therefore,to improve the emergency response capability of local governments by optimising their emergency management measures,and to exchange the minimum cost of prevention and control for the maximum effectiveness of prevention and control,is a topic that needs to be faced by both theoretical and practical circles in China.This study uses a combination of literature research,case study and interview methods,and is supported by theories of collaborative governance and seamless government,to examine the emergency management situation of the city of Summer Y in response to the COVID-19 "Delta" variant outbreak in 2021.The main reasons for this were a lack of awareness of epidemic prevention,an inefficient organisational structure,a lack of a professional workforce and a superficial construction of big data.Therefore,city Y should actively create awareness of emergency prevention with the participation of all people under the leadership of the government,enhance the early warning and response capability of emergency management,improve the organisational and coordination capability of responding to public health emergencies,build a professional emergency personnel team and construct a big data system for emergency management,in order to enable city Y to respond more effectively to the COVID-19 epidemic and further improve the capability of emergency management of public health emergencies of the local government. |