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Complex network-based dynamic model of disease transmission

A dynamic model and propagation model technology, applied in the field of disease transmission, can solve problems such as the spread of infectious diseases and changes in time that cannot be truly reflected

Pending Publication Date: 2018-07-10
LULIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these dynamic models cannot really reflect the specific process of infectious disease transmission, because the incidence rate is determined by many factors, which will change over time

Method used

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Examples

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Embodiment Construction

[0028] In order to make the objects and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0029] An embodiment of the present invention provides a dynamic model based on the spread of disease on a complex network, including a dynamic model, and virtual actuators and virtual sensors inserted in the dynamic model, and the virtual actuator is used for input It can be decomposed into parameters of design variables, design goals and design constraints, and all design variables, design goals and design constraints have direct or indirect correspondence with relevant elements in the simulation analysis module; the virtual sensor is in the dynamic model A logical unit of an object that is inserted to obtain the corresponding result or inform...

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Abstract

The present invention discloses a complex network-based dynamic model of disease transmission. The complex network-based dynamic model of disease transmission comprises a dynamic model as well as a virtual actuator and a virtual sensor which are inserted into the dynamic model; the virtual actuator is used for inputting parameters which can be decomposed into design variables, design objectives and design constraints, wherein all the design variables, design objectives and design constraints have direct or indirect corresponding relations with related elements in a simulation analysis module;and the virtual sensor is a logical unit which is inserted into the dynamic model and can obtain targets of corresponding results or information. With the complex network-based dynamic model of the invention adopted, the dynamic change of a disease transmission model can be realized, and simulation analysis of a disease transmission situation is realized.

Description

technical field [0001] The invention relates to the field of disease transmission, in particular to a dynamic model based on complex network disease transmission. Background technique [0002] The effective contact rate of each patient to a susceptible S is the infection rate. At time t, the number of people infected by all patients per unit time (that is, the number of new patients) is the incidence of the disease. Assuming that the contact rate is proportional to the total population in the system, that is, U=kN, the effective contact rate at time t is βN=β0kN, where β=β0k is the ratio of the effective contact rate to the total population N, which is called the infection rate coefficient. When the effective contact rate is βN, the incidence rate is βSI, that is, the number of new patients at time t is βSI, which represents the number of new patients produced by the contact between susceptible person S and patient I. This rate is called bilinear rate (bilinear), also know...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/80G16H50/50
Inventor 李建东王振国刘方
Owner LULIANG UNIV
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