Multi-information Collaborative Model of Urban Public Health Emergency Management Based on Bayesian Algorithm

Abstract

Urban public health emergency management is a series of measures taken by the government to maintain and promote social stability and development. After the occurrence of an emergency, relevant systems are established and improved to ensure public safety. This paper first introduces the background and significance of the research, as well as the mature theoretical basis for the construction of urban government’s response to sudden disasters and emergency response capacity at home and abroad. On this basis, a dynamic response model of urban public health based on Bayesian network is proposed for analysis and research. The final test results show that the urban emergency rescue system based on Bayesian algorithm has better effect than the traditional prediction method relying on a single node, with rapid operation time and small error in information synchronization time. Under this application mode, a whole composed of multiple nodes is established to simulate the management and control of various government departments when an emergency occurs.