Discrete grid-based infectious disease time-space diffusion evolution and artificial prevention and control simulation method

Abstract

The invention relates to the technical field of infectious disease prevention and control, and discloses an infectious disease time-space diffusion evolution and artificial prevention and control simulation method based on discrete grids. The method specifically comprises the following steps: performing population distribution and population division in a region, constructing an infectious disease space-time diffusion model, and constructing an artificial prevention and control measure model. The invention provides an infectious disease epidemic situation space-time diffusion and artificial prevention and control measure simulation method under a discrete grid. Aiming at the problems that an existing artificial prevention and control measure simulation method is less in integration of space-time information and model parameters lack description of space-time evolution, a time sequence-based infectious disease model is combined with geography, a geographic area is divided by utilizing discrete grids, and a space-time diffusion model of infectious diseases is designed according to correlation between patients and the grids. Meanwhile, an intervention measure model is mapped to a corresponding grid, so that a simulation model can correspond to an actual geographic space while quantitative analysis is carried out by utilizing an infectious disease model.

Description

technical field [0001] The invention relates to the technical field of infectious disease prevention and control, in particular to a discrete grid-based simulation method for temporal and spatial diffusion evolution of infectious diseases and artificial prevention and control. Background technique [0002] With the advancement of science and technology, the development of cities has made human living environments more and more concentrated, but this has also brought great opportunities for the outbreak of infectious diseases. Frequent activities and exchanges not only increase the possibility of infectious disease outbreaks, but also greatly increase the ability of infectious diseases to spread. Therefore, the spread and prevention of infectious diseases have become the focus and difficulty of the government and the scientific community. Computer simulations are used to simulate different scientific The potential effect of prevention and control decision-making on suppressin...

AI Technical Summary

Problems solved by technology

However, most of the current models are based on the compartment model and lack the expression of spatial information, which makes the attribute information carried by the model limited, and it is difficult to obtain information on the spatial spread of infectious diseases

In addition, most methods adjust the model parameters on the basis of building a predictive analysis model to simulate the spread of the epidemic under different measures, but there is no reasonable explanation for the mapping between model parameter values ​​and practical application significance. It is difficult to provide more direct guiding information for scientific decision-making in different regions

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