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An infectious disease spread prediction system and device integrating spatiotemporal information

A transmission prediction and infectious disease technology, applied in the field of infectious disease transmission prediction systems and devices, to achieve the effects of convenient epidemic control, high prediction accuracy, and good adaptability

Active Publication Date: 2022-04-22
BEIHANG UNIV
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Problems solved by technology

[0005] As mentioned above, there is still room for optimization in the current common prediction methods of epidemic trends

Method used

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  • An infectious disease spread prediction system and device integrating spatiotemporal information
  • An infectious disease spread prediction system and device integrating spatiotemporal information
  • An infectious disease spread prediction system and device integrating spatiotemporal information

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Embodiment Construction

[0036] The following is a preferred embodiment of the present invention and the technical solution of the present invention is further described in conjunction with the accompanying drawings, but the present invention is not limited to this embodiment.

[0037] The present invention proposes an infectious disease propagation prediction system that integrates spatiotemporal information. The system is divided into a data collection unit, which is used to collect time series data, epidemic data and spatial relations in different regions. The adjacency matrix; the correlation analysis unit, which uses In analyzing the association between various time series data and epidemic data in different regions in the collected data, time series data with high correlation are obtained; the linear self-attention mechanism unit combines the epidemic data, the correlation Time series data with high reliability and the adjacency matrix are used as input data. This unit will learn the internal rel...

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Abstract

The present invention realizes an infectious disease spread prediction system and a device applying it by integrating spatio-temporal information through the method in the field of artificial intelligence. By designing the data collection unit, the adjacency matrix composed of time-related sequence data, epidemic data and spatial relationship in different regions is collected, and the correlation analysis unit is used to analyze the correlation between the time series data and the epidemic data; and then input the above data An infectious disease transmission prediction model that applies complex network methods to form prediction results; after rating the epidemic risks in different regions according to the prediction results, the prediction results and rating results are used as system output results. This system can obtain more accurate epidemic prediction results in different regions based on data strongly correlated with epidemic data and dynamic spatial connections in different regions.

Description

technical field [0001] The invention relates to the field of multivariate time-space sequence prediction, in particular to a system and device for predicting the spread of infectious diseases that integrate time-space information. Background technique [0002] For the prevention and control of infectious diseases, accurately predicting the trend of the epidemic has guiding significance for how to allocate medical resources and how to adjust epidemic prevention and control policies. [0003] At present, there are two common methods for predicting the trend of an infectious disease epidemic in a certain place. The first category is mathematical model methods, such as SI, SIR, SIRS, SEIR, etc. This type of method establishes the differential equation relationship between different types of people (such as susceptible, exposed, infected, recovered, etc.), and uses the data before the epidemic to determine the optimal solution of each parameter in the differential equation, ther...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/80G16H50/30G06N3/04G06N3/08
CPCG16H50/80G16H50/30G06N3/04G06N3/084
Inventor 李建欣周号益张帅彭杰奇于金泽林俊安
Owner BEIHANG UNIV
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