Abstract: As an important driving force for a new round of scientific and technological revolution and industrial transformation, artificial intelligence has played an important role in the prevention and control of the COVID-19 virus. The purpose of this research is to deeply explore the effect of artificial intelligence technology in epidemic prevention and control, to identify the existing problems and challenges, and to further promote the in-depth application of artificial intelligence in the management of public health emergencies. Based on an extensive investigation and analysis of nearly 200 specific cases, this paper expounds the application fields, main functions, core technologies and application degree of artificial intelligence in four key scenarios, i.e. epidemic prevention and control, disease diagnosis and treatment, social governance and resumption of work and production. Then it reveals the main shortcomings in the aspects of data scale and quality, algorithm innovation, scene deepening and so on. Therefore, three main countermeasures and suggestions were proposed, from the dimensions of data, technology, and scenario, that is, to establish a big data platform for epidemic diseases which is compatible with artificial intelligence technology, to form a strong epidemic prevention and control technology with artificial intelligence as the core support, and to deepen and enrich the application of epidemic prevention and control scenarios under the background of "AI Plus".

Key words: Artificial intelligence, Prevention and control of covid-19, Disease diagnosis and treatment, Social governance, Resumption of work and production, Application scenarios