Research and Prospect of Early Warning and Prediction Model of Public Health Emergencies Based on Big Data Computation

The systematic review method was used to analyze the distribution of literature for understanding the trend of early warning methods. Regression analysis using spatiotemporal models such as ARIMA models and propagation dynamics models was used in this study. Geographic visualization techniques and neural networks, and even traditional statistical models were combined with big data and geographic information systems for early warning. 72 articles were reviewed, and the result showed that public health emergencies have gradually changed from traditional models In practical applications, it is necessary to comprehensively consider the characteristics of the disease, data types, and model characteristics to select the most appropriate predictive model. The model can be compared with a variety of methods to provide technical support.