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28 August 2023 Analysis and judgement from computation model on the complex characteristics of the latest epidemic pandemic
Yifan Li
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Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 1272402 (2023) https://doi.org/10.1117/12.2688200
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China
Abstract
In this paper, the methods and technologies such as computation model, spatio-temporal big data analysis, propagation dynamics system modelling, scenario simulation calculation experiment, spatio-temporal statistical measurement, unbiased estimation of fault samples, hazard assessment of THE LATEST EPIDEMIC PANDEMIC, the spread of THE LATEST EPIDEMIC PANDEMIC, analysis and judgment of different epidemic risks and situations across the country, as well as the analysis of THE LATEST EPIDEMIC PANDEMIC situation abroad and the tracking study of epidemic situation in key countries are comprehensively used for analysis. The paper showed that making full use of computation model, mathematical models, big data, artificial intelligence and other information-based means to control the complexity of the spread of the epidemic situation, so as to reduce the high uncertainty of the analysis, research and judgment of the epidemic situation, is a major scientific issue for rapid emergency decision-making under the crisis of major outbreaks of disease and requires interdisciplinary scientific research.
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Yifan Li "Analysis and judgement from computation model on the complex characteristics of the latest epidemic pandemic", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 1272402 (28 August 2023); https://doi.org/10.1117/12.2688200
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KEYWORDS
Diseases and disorders
Analytical research
Statistical analysis
Synthetic aperture radar
Data modeling
Complex systems
Control systems
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