Research on public health crisis early warning system based on context awareness

Abstract

BACKGROUND: With the continuous expansion of urban scale and the increasing concentration of population, public health crisis has become an important part of urban residents’ health management. The outbreak of the COVID-19 pandemic in Wuhan in 2020 has sounded the alarm. OBJECTIVE: With the government at all levels to carry out the construction of urban Internet of things and information internet, the Internet backbone network has been built, deployed a large number of sensors, and collected a large number of urban situation data. METHODS: In this paper, situational awareness technology is introduced into public health emergency services. RESULTS: By constructing ontology, situational data and residents’ health data are integrated. Through key technologies such as situational data collection, data fusion and data mining, real-time perception of environmental conditions of public health emergency scene is realized, and situational data fusion and situational information reasoning model are constructed. CONCLUSIONS: The model is applied to the public health crisis emergency simulation system to verify the effectiveness of the model.

The Application of Artificial Intelligence in Health Policy: A Scoping Review

“…Using digital solutions paves the way for making more evidence-based decisions in the future, which translates into avoiding the garbage model. Studies related to agenda setting included a discussion on evaluation and early-warning systems based on context awareness for a situational crisis [73] or other environmental problems, such as the in uence of PM10. In one study, researchers present a model to evaluate its future effects on health and economic losses.…”

Towards Context Aware Sustainable Cities

“…However, it is not clear how, in a real scenario, the retrieved context will be adapted to the ontology and how a real-time processing system could make use of these contextual data to correlate them. When we focus on smart city scenarios we find many proposals that provide ontologies for various application domains, but do not give clear how the processing of the structural data of the ontology could be done in a particular scenario in real time, such as [9]- [11].…”