Joint decision-making system and method for data-driven epidemic detection and medical resource allocation

Abstract

The invention belongs to the field of epidemic emergency decision-making, and provides a joint decision-making system and method for data-driven epidemic detection and medical resource allocation. The system and method can continuously learn and improve the prediction and estimation of the number of susceptible persons, asymptomatic infected persons, symptomatic infected persons and convalescent persons and the propagation parameters of an epidemic based on continuously updated confirmed case data and epidemic detection result data; and aiming at minimizing the total number of future infected persons, the system and method dynamically carry out joint decision making on epidemic monitoring and medical resource allocation. With the system and method of the invention adopted, epidemic development can be predicted on the basis of the limited diagnosed case data and epidemic detection data, decision-making based on prediction is achieved, the total number of infected people is reduced, and the perspectiveness, effectiveness and scientificity of decision-making are improved.

Description

technical field [0001] The invention belongs to the field of epidemic emergency decision-making management, and relates to a data-driven joint decision-making system and method for epidemic detection and medical resource allocation. Background technique [0002] The spread of the epidemic has the characteristics of time and space dynamics, which is affected by many factors such as the local population density, the number of infected people, and population movement. Therefore, in the prevention and control of the epidemic, it is very important to carry out targeted epidemic detection in various regions within the jurisdiction, diagnose and isolate asymptomatic infections, and allocate limited medical resources to each region, which is very important for achieving accurate and timely epidemic control . However, the current public health decision-making departments have very limited information when making epidemic detection and medical resource allocation decisions. They can ...

AI Technical Summary

Problems solved by technology

However, the spread of the epidemic is a dynamic process of time and space. Free-moving asymptomatic infected persons will greatly increase the spread of the epidemic. Decisions based only on confirmed data are less effective in controlling the epidemic, and decisions based on prediction are required.

At the same time, the current decision-making process of epidemic detection and medical resource allocation is independent of each other, and the coupling relationship is not fully considered, which also greatly affects the efficiency of epidemic control

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