Method, device and storage medium for evaluating intervention of crowd depression emotion by behavior simulation

Abstract

The application discloses a behavior simulation crowd depression emotion intervention evaluation method and device and a storage medium, relates to the technical field of depression crowd intervention strategy evaluation, and reflects reality by constructing a community virtual environment model, then constructs a simulation community crowd interaction model, constructs a crowd depression emotion appearance crowd influence interaction model, constructs a model of the influence of different intervention measures on depression emotion, and evaluates the effect according to the result data generated by the model of the influence of different intervention measures on depression emotion, so that the intervention measures can be optimized, the depression emotion of the crowd caused by some negative factors can be improved, the psychological health level and the life quality level of the community crowd are improved, and the function of selecting and optimizing the intervention measures for depression emotion is realized.

Description

Technical Field

[0001] This invention belongs to the field of evaluation technology for intervention strategies for people with depression, specifically involving a method, device and storage medium for evaluating the intervention of depressive mood in people using behavioral simulation. Background Technology

[0002] With the continuous development of science and technology and society, people have entered a high-pressure and fast-paced life. In today's society, the incidence of depression is increasing. The main causes of depression are as follows: First, genetics and biology. Family members of patients with depression have a significantly higher risk of developing depression than the general population, indicating that depression has a certain degree of heritability. However, the heritability of depression is only about 30%, unlike schizophrenia or bipolar disorder, which can reach 70-80%. At the same time, patients with depression have disordered levels of most neurotransmitters in their brains, mainly including serotonin and norepinephrine. Second, environmental factors and stress. Environmental factors are an important cause of depression. For example, the death of a loved one, strained interpersonal relationships, financial difficulties, high work pressure, threats to life, and constantly experiencing, witnessing, or hearing about traumatic events can all induce anxiety and depressive moods, ultimately leading to depression.

[0003] In today's fast-paced society, the impact of environmental factors and stress on depressive moods is becoming increasingly severe. In the face of today's environment, the need to quickly select intervention measures for depressive moods in the population has become more urgent.

[0004] Environmental changes and stress play a crucial role in the development of depressive moods. Uncertainty and drastic changes in the external environment can affect an individual's ability to regulate emotions, and consequently, their control over their tendency to become depressed. In community settings, when someone becomes depressed, this mood can spread among individuals in a manner similar to an infectious disease, making it easier to transmit in a relatively closed environment. Without external intervention, depressive moods are difficult to improve in the existing environment, making external intervention particularly important. Furthermore, in situations where depressive moods are prevalent, choosing the right intervention measures becomes crucial. Different interventions have varying time and economic costs for improving depressive moods, necessitating pre-simulation evaluation. Therefore, this paper proposes a behavioral simulation-based method, equipment, and storage medium for evaluating and intervening in depressive moods in a population. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the purpose of this invention is to provide a method, device and storage medium for evaluating and intervening in depressive mood in a population based on behavioral simulation, which solves the technical problem that the methods for selecting intervention measures for depressive mood in the prior art are not perfect enough.

[0006] The objective of this invention can be achieved through the following technical solution: a behavioral simulation-based method for evaluating interventions in depressive mood in a population, comprising constructing a virtual community environment model that reflects reality, then constructing a simulated community population interaction model, then constructing a population impact interaction model of depressive mood, then constructing a model of the impact of different intervention measures on depressive mood, and evaluating the effectiveness based on the result data generated by the model of the impact of different intervention measures on depressive mood.

[0007] Preferably, the process of constructing a virtual community environment model that reflects reality includes the following steps:

[0008] Based on the agent-based agent simulation behavior model, a community model with a certain number of people within a certain spatial range is constructed;

[0009] Based on the community model, the size of the social environment and the number of people in the community are determined, and spatial data of the community environment and population data are obtained.

[0010] Input spatial and population data into the NETLOGO platform to build a virtual community environment model that reflects reality.

[0011] Preferably, the process of constructing the simulated community interaction model includes the following steps:

[0012] Each individual's motion state within the simulated community is defined as either remaining stationary or randomly moving in any direction; the motion state is defined as P.

[0013] Within the simulated community, individuals are considered to meet when they are one unit apart. After meeting, whether there will be an emotional impact on each other is determined by setting the impact of an individual with depression on a normal individual to be O.

[0014] Preferably, P and O satisfy a gamma distribution.

[0015] Preferably, the process of constructing the interaction model of the population experiencing depressive mood includes the following steps:

[0016] The population states are defined as follows: the entire population in the community is the susceptible population for depression (S), the population with depression is I, and the recovered population is R. The population with depression I influences the susceptible population S through a simulated community population interaction model. The probability of the population with depression I turning into the recovered population R without intervention is obtained from literature review, and the recovery probability of each individual in the population should follow a gamma distribution.

[0017] By inputting data on depressive mood in the community population into NETLOGO using community survey scale data, a complete interaction model of the impact of depressive mood on the population can be constructed.

[0018] Preferably, the process of constructing a model of the impact of different interventions on depressive mood includes the following steps:

[0019] By combining literature review and clinical data from partner hospitals, different intervention methods were identified, and data for each intervention method were determined, including intervention cycle, probability of intervention, and intervention cost, in order to determine intervention parameters.

[0020] By using a complete interactive model of the impact of depressive mood on the population, intervention parameters are added and time-based simulation model calculations are performed. The intervention is considered successful if the percentage of people with depressive mood is less than X%, and failed if the percentage of people with depressive mood is greater than or equal to X%.

[0021] Preferably, the process of evaluating the effect includes the following steps:

[0022] Population psychological assessments are used to determine whether individuals experience depressive symptoms, with scale scores and the proportion of people experiencing depressive symptoms serving as the outcome data.

[0023] Collect and organize the data from different intervention methods.

[0024] Hypothesis testing is conducted on different intervention measures to determine whether there are differences in the intervention effects of different intervention measures. For intervention measures with no difference in intervention effects, the intervention measures are evaluated based on intervention time and economic cost; for intervention measures with different intervention effects, the intervention effects of the intervention measures are evaluated.

[0025] Preferably, the collected and organized data includes the proportion of people with depressive symptoms, scale scores, intervention time, and economic costs.

[0026] Preferably, an apparatus includes:

[0027] One or more processors;

[0028] Memory, used to store one or more programs;

[0029] When the one or more programs are executed by the one or more processors, the one or more processors implement the behavioral simulation-based population depression intervention and evaluation method described above.

[0030] Preferably, a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the population depressive mood intervention and evaluation method described above, based on behavioral simulation.

[0031] The beneficial effects of this invention are:

[0032] In its application, this invention constructs a virtual community environment model reflecting reality, then a simulated community interaction model, a model of the impact of depressive mood on the population, and a model of the impact of different intervention measures on depressive mood. Based on the results data generated by these models, the effectiveness of intervention measures is evaluated. This allows for the optimization of intervention measures, improvement of depressive mood caused by negative factors, and enhancement of the mental health and quality of life of the community population. The invention thus achieves the function of selecting and optimizing intervention measures for depressive mood. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a schematic diagram of the dynamic model of the present invention. Detailed Implementation

[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] like Figure 1 As shown, the behavioral simulation-based intervention evaluation method for depressive mood in the population includes constructing a virtual community environment model that reflects reality, then constructing a simulated community population interaction model, then constructing a population impact interaction model of depressive mood, then constructing a model of the impact of different intervention measures on depressive mood, and finally evaluating the effect based on the result data generated by the model of the impact of different intervention measures on depressive mood.

[0037] It should be further explained that, in the specific implementation process, the process of constructing a virtual community environment model that reflects reality includes the following steps:

[0038] Based on the designed community model, the size of the social environment and the number of people in the community are determined, and spatial data of the community environment and population data are obtained.

[0039] Input spatial and population data into the NETLOGO platform to build a virtual community environment model that reflects reality.

[0040] It should be further explained that, in the specific implementation process, the process of constructing the simulated community interaction model includes the following steps:

[0041] Each individual's motion state within the simulated community is defined as either remaining stationary or randomly moving in any direction; the motion state is defined as P.

[0042] Within the simulated community, individuals are considered to meet when they are one unit apart. After meeting, whether there will be an emotional impact on each other is determined by setting the impact of an individual with depression on a normal individual to be O.

[0043] It should be further explained that, in the specific implementation process, P and O satisfy the gamma distribution.

[0044] It should be further explained that, in the specific implementation process, the process of constructing the interaction model of the population's depressive mood includes the following steps:

[0045] The population states are defined as follows: the entire population in the community is the susceptible population for depression (S), the population with depression is I, and the recovered population is R. The population with depression I influences population S through a simulated community population interaction model. The probability of the population with depression I turning into the recovered population R under the condition of no intervention is obtained by consulting the literature, and the recovery probability of each individual in the population should follow a gamma distribution.

[0046] By inputting data on depressive mood in the community population into NETLOGO using community survey scale data, a complete interaction model of the impact of depressive mood on the population can be constructed.

[0047] It should be further explained that, in the specific implementation process, the process of constructing a model of the impact of different intervention measures on depressive mood includes the following steps:

[0048] By combining literature review and clinical data from partner hospitals, different intervention methods were identified, and data for each intervention method were determined, including intervention cycle, probability of intervention, and intervention cost, in order to determine intervention parameters.

[0049] By using a complete interactive model of the impact of depressive mood on the population, intervention parameters are added and time-based simulation model calculations are performed. The intervention is considered successful if the percentage of people with depressive mood is less than X%, and failed if the percentage of people with depressive mood is greater than or equal to X%.

[0050] It should be further explained that, in the specific implementation process, the effect evaluation process includes the following steps:

[0051] Collect and organize the data on the successful results of different intervention methods.

[0052] Hypothesis testing is performed on different intervention measures to determine whether there are differences in the intervention effects of different intervention measures. For intervention measures with no difference in intervention effects, the intervention measures are evaluated based on time and economic costs; for intervention measures with different intervention effects, the intervention effects of the intervention measures are evaluated.

[0053] It should be further explained that the data collected and organized during the implementation process includes the time required for intervention, the required economic costs, and self-efficacy scores.

[0054] The invention will now be described in detail with reference to the accompanying drawings and examples.

[0055] The study area was selected as the Dingjiaqiao Campus of Southeast University. The campus is rectangular in shape, covering an area of ​​approximately 117,200 square meters, and has a student population of approximately 4,000.

[0056] A method, device, and storage medium for assessing depressive mood in a population using behavioral simulation. This includes constructing a realistic virtual community environment model, specifically comprising the following steps:

[0057] In the NETLOGO platform, input a box space of 35pcor*35pcor in size, set the turtles to humanoid shapes, and set their quantity to 400. This completes the construction of the community virtual environment model.

[0058] It should be specifically noted that, in the actual implementation process, the process of constructing a simulated community interaction model includes the following step:

[0059] Each individual within the simulated community model is designed to have random motion, using the principle of random numbers to either remain stationary or move in a random direction. If it reaches the boundary of the box space, it will turn 180 degrees and continue its random motion. The motion state is defined as P.

[0060] Within the simulated community, individuals are considered to have met when they are a unit distance of one box space. After meeting, there is a certain probability that they will affect each other's feelings. The probability that an individual with depression will affect a vulnerable individual is set to 0.

[0061] It should be further explained that, in the specific implementation process, P and O satisfy the gamma distribution.

[0062] It should be further explained that, in the specific implementation process, the process of constructing the interaction model of the population experiencing depressive mood includes the following steps:

[0063] The population states are defined as follows: the entire population in the community is the susceptible population for depression (S), the population with depression is I, and the recovered population is R. The population with depression I influences population S through a simulated community population interaction model. The probability of the population with depression I turning into the recovered population R without intervention is obtained from literature review. Here, the recovery probability of the population with depression I turning into the recovered population R without intervention is set to 10%, and the recovery probability of each individual in the population should follow a gamma distribution.

[0064] This example uses the Self-Rating Depression Scale (SDS) to determine whether an individual has depressive mood. A score greater than 62 on the scale is defined as having depressive mood. Based on the scale data, 92 people in the community were identified as having depressive mood, accounting for 23% of the total population. Their individual status data were input into NETLOGO to construct a complete interaction model of the impact of depressive mood on the population.

[0065] It should be further explained that, in the specific implementation process, the process of constructing a model of the impact of different intervention measures on depressive mood includes the following steps:

[0066] Peer education was chosen as an intervention for depressive symptoms. This intervention is effective for the entire population, with an intervention period of 14 days and a 30% probability of recovery.

[0067] By using a complete interactive model of the impact of depressive mood on the population, intervention parameters are added to perform time-based simulation model calculations. The intervention is considered successful if the number of people with depressive mood is less than 11.5% after 3 intervention cycles, and unsuccessful if the number of people with depressive mood is greater than or equal to 11.5%.

[0068] This case study compares two intervention approaches: no intervention and peer education.

[0069] The experimental results are shown in Tables 1 and 2.

[0070] People with depressive symptoms who have no intervention or peer education intervention

[0071] Percentage comparison

[0072]

[0073] Table 1. Comparison of SDS scores after no intervention and peer education intervention.

[0074]

[0075] Table 2

[0076] In this case study, a comparison was made between no intervention and peer education intervention. After three intervention cycles, there was no difference in the proportion of people with depressive symptoms and the SDS scores before and after the intervention in the no intervention group. In the peer education group, the proportion of people with depressive symptoms and the SDS scores before and after the intervention both decreased, and there was a difference in the intervention time.

[0077] Therefore, interventions for depressive mood in the population can be conducted using behavioral simulation-based intervention and evaluation methods to develop reasonable interventions, improve the mental state of the community population, reduce the disease burden caused by depression, and improve the quality of life of the population.

[0078] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0079] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the present invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A behavioral simulation-based intervention and evaluation method for depressive mood in a population, characterized by: The method comprises the following steps: constructing a virtual community environment model reflecting reality; constructing a simulation community population interaction model; constructing a population influence interaction model of depression; and constructing a model of the influence of different intervention measures on depression, and evaluating the effect according to the result data generated by the model of the influence of different intervention measures on depression. The process of constructing the virtual community environment model reflecting reality comprises the following steps: According to the agent-based-agent simulation behavior model, a community model with a certain number of populations in a certain space range is constructed. The size of the social environment and the number of the community populations are determined according to the community model, and the space data and population data of the community environment are obtained. The space data and population data are input in the NETLOGO platform, and the virtual community environment model reflecting reality is constructed. The process of constructing the simulation community population interaction model comprises the following steps: The movement state of each individual in the simulation community is set as staying in place and moving in any direction at random, and the movement state is P. The individuals in the simulation community are set to meet each other when the distance between the individuals is one unit, and whether the depression individuals will affect the normal individuals is set as O. The process of constructing the population influence interaction model of depression comprises the following steps: The state of the population is set, the whole population in the community is the depression-prone population S, the depression population is I, and the recovered population is R. The depression population I influences the depression-prone population S through the simulation community population interaction model, and the probability that the depression population I is recovered without intervention is obtained by consulting literature, and the recovery probability of each individual in the population should be subject to gamma distribution. The depression data of the community population is input into the NETLOGO through the community survey scale data, and the complete population influence interaction model of depression is constructed. The process of constructing the model of the influence of different intervention measures on depression comprises the following steps: Different intervention measures are determined by consulting literature and combining with the clinical data of the cooperative hospital, and the data of each intervention measure, including the intervention period, the recovery probability and the intervention cost, are determined to determine the intervention parameters. The intervention parameters are added to the complete population influence interaction model of depression, and time-based simulation model operation is performed, and the intervention is set to be successful when the depression population is less than X%, and the intervention is set to be failed when the depression population is greater than or equal to X%. The process of effect evaluation comprises the following steps: Whether the individual has depression is determined through population psychological evaluation, and the scale score and the proportion of the depression population are taken as the result data. The result data generated by different intervention measures are collected and sorted, Hypothesis testing is performed on different intervention measures to determine whether the intervention effects of different intervention measures are different. For the intervention measures with no difference in intervention effect, the intervention time and economic cost are used to evaluate the intervention measures. For the intervention measures with difference in intervention effect, the intervention effect of the intervention measures is used to evaluate the intervention measures.

2. The behavioral simulation crowd depression intervention evaluation method according to claim 1, characterized in that, The P and O satisfy gamma distribution.

3. The behavioral simulation crowd mood intervention evaluation method according to claim 1, characterized in that, The collected result data includes proportion of people with depressive mood, scale score, intervention time, and economic cost.

4. An apparatus, comprising: The method comprises the following steps: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the behavioral simulation-based evaluation method for population depressive mood intervention as claimed in any one of claims 1-3.

5. A storage medium containing computer-executable instructions, wherein: The computer executable instructions, when executed by a computer processor, are used to execute the behavioral simulation-based evaluation method for population depressive mood intervention as claimed in any one of claims 1-3.

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