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Drug taking propagation prediction method and device and electronic equipment

A technology for spreading prediction and drug users, applied in the field of data processing, can solve the problem of not having a good drug spreading prediction plan

Inactive Publication Date: 2018-09-07
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to reasonably predict the spread of drug use, guide how to find effective blocking strategies, rationally use resources and adjust strategies, and carry out social behavior intervention actions more effectively, it is necessary to conduct in-depth research on the spread of drug use. Propagation Prediction Scheme

Method used

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  • Drug taking propagation prediction method and device and electronic equipment
  • Drug taking propagation prediction method and device and electronic equipment
  • Drug taking propagation prediction method and device and electronic equipment

Examples

Experimental program
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Effect test

Embodiment 1

[0050] In order to completely and accurately describe the technical solutions of the embodiments of the present invention, firstly, a standardized description is made on the prediction object of drug abuse transmission:

[0051] Divide the population in the area to be predicted into different types, including drug addict population D, relatives and friends population F, isolated population Q, and drug addict population A. In order to obtain the number of different types of people in the area to be predicted within the preset time, the preset time can be divided into multiple stages. If it is necessary to predict the number of people of each type within 12 months, one month can be used as a stage Calculation.

[0052] Such as figure 1 As shown, in a possible embodiment, taking one month as an example, the group of relatives and friends F is influenced by the group of drug addicts D, and is transformed into drug addicts with the probability of α×F(t) per month, where F(t) Indi...

Embodiment 2

[0129] Corresponding to the method in Embodiment 1, this embodiment provides a device for predicting the spread of drug use, see Figure 5 , the device consists of:

[0130] The obtaining module 11 is used to obtain parameter values, which include conversion parameters of pre-divided different types of groups, the number of relatives and friends corresponding to a single drug user and the initial value of the number of different types of groups; the conversion parameters include conversion rate or conversion probability;

[0131] The calculation module 12 is used to calculate the number of different types of people within a preset time based on the above-mentioned parameter values ​​and based on the pre-established drug abuse propagation model; the different types of people include relatives and friends, drug addicts, isolated people and drug addicts.

[0132] In the embodiment of the present invention, after setting the initial value of the number of people according to the ...

Embodiment 3

[0134] see Figure 6 , the embodiment of the present invention also provides an electronic device 100, including: a processor 40, a memory 41, a bus 42 and a communication interface 43, the processor 40, the communication interface 43 and the memory 41 are connected through the bus 42; Executable modules, such as computer programs, stored in the execution memory 41 .

[0135] Wherein, the memory 41 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the Internet, wide area network, local network, metropolitan area network, etc. can be used.

[0136] The bus 42 can be an ISA bus, a PCI bus or an EISA bus, etc. The bus can be divided into address bus, data bu...

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Abstract

The invention provides a drug taking propagation prediction method and device and electronic equipment, and relates to the technical field of data processing. The method comprises the following stepsof: obtaining parameter values, wherein the parameter values comprise conversion parameters of pre-divided different types of crowds, a number of relatives and friends corresponding to a single drug addict and number initial values of the different types of crowds, and the conversion parameters comprise conversion speeds or conversion probabilities between the different types of crowds; and calculating numbers of the different types of crowds in a preset time on the basis of a pre-established drug taking propagation model according to the parameter values, wherein the different types of crowdscomprise a relative and friend crowd, a drug addict crowd, an isolated crowd and a rehabilitation crowd. According to the method and device and the electronic equipment, drug taking propagation conditions are reasonably predicted, so that data reference and decision making basis are provided for drug control actions, benefit is brought to seek effective blocking strategies, resources are reasonably utilized, the strategies are reasonably adjusted, and social behavior intervention actions can be developed more effectively.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, device and electronic equipment for predicting drug abuse spread. Background technique [0002] At present, the increasingly serious drug problem has become a global disaster. Drugs not only seriously damage human health, but also destroy and destroy the abusing individual from the soul and body. On the one hand, it will lead to the economic collapse of the abused individual and the disintegration of the family; on the other hand, it will inevitably lead to vicious crimes such as theft, robbery, violence, and murder, which have brought immeasurable and catastrophic harm to the public society. [0003] In the prior art, most of them take drug abuse as the background, and build a network model for the transmission of an infectious disease in this context, that is, a network model for the spread of AIDS through drug abuse. The focus is on infectious diseases, but ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F17/50G06Q50/26
CPCG06F30/20G06Q10/04G06Q50/26
Inventor 尤锰肖依永周宇亮
Owner BEIHANG UNIV
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