Big Data Application Research In Epidemic Prevention And Control In Quanzhou City

The COVID-19 outbreak in 2020 is a relatively serious public health crisis,posing a serious threat to people’s lives,property,health and safety.Under the strong leadership of the Party and the country,China’s epidemic prevention and control work has been quickly implemented,and government departments at all levels have unified dispatch and command,and taken a series of measures such as personnel isolation,extended holidays,and delaying the resumption of work and production to avoid the further spread and spread of the epidemic.With the effective control of the epidemic and the gradual recovery of economic development,in order to consolidate the phased achievements of epidemic prevention and control and analyze the effect of advanced technology in the emergency management of public health crises,it is of great significance to further study the role of big data technology in epidemic prevention and control.In the context of epidemic prevention and control,this paper analyzes the impact of big data technology on epidemic prevention and control,and puts forward targeted policy suggestions.first,By consulting the literature,the author has,The concept of big data,public health emergencies and the relationship between big data and public health emergencies emergency management are reviewed,Starting from the theory of risk society and emergency management of public health emergencies,The application of big data technology in the emergency management of public health crisis events is studied,Take this idea as the theoretical basis;next,This paper summarizes the application status of big data in epidemic prevention and control in Quanzhou city,Quanzhou city has introduced the epidemic prevention and control measures and the application of big data;moreover,Based on the empirical research data obtained from the questionnaire survey,Empirical tests by measurement methods such as descriptive analysis,correlation analysis and regression analysis,That is,on the basis of the correlation analysis between the four big data indicators and the epidemic prevention and control effect indicators,The regression analysis of the quantitative indicators of epidemic prevention and control effect and the related Indicators of big data,Then,by passing the robustness test,Finally,the empirical analysis results are obtained.The empirical analysis results show that big data technology plays a significant role in the epidemic prevention and control.Among them,big data confirmed personnel indicators,personnel tracking indicators,material deployment indicators and resumption of work service indicators can accurately help the epidemic prevention and control,and have a significant positive impact.then,According to the results of the questionnaire survey and the public data,this paper further analyzes the problems existing in the application of big data in epidemic prevention and control in Quanzhou,Therefore,it is concluded that the insufficient accuracy of big data,the inaccurate scheduling information of medical resources and the insufficient high degree of data sharing and openness are the main reasons that restrict big data to play its epidemic prevention and control effect;at the same time,Based on the previous empirical results and existing problems,Further based on the practice of using big data to help epidemic prevention and control experience for reference;last,This paper puts forward four policy suggestions: building a timely,accurate and efficient big data platform for epidemic prevention and control,deepening big data analysis,promoting the comprehensive sharing of epidemic prevention and control information in Quanzhou city,and using big data technology to help the resumption of work and production,For the reference to the policy authorities.