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基于云模型的社区参与新冠疫情防控工作者心理健康预测研究。

Research Into Mental Health Prediction of Community Workers Involved in the Prevention of COVID-19 Epidemic Based on Cloud Model.

机构信息

Department of Public-Based Teaching and Research, Guangxi Police College, Nanning, China.

出版信息

Front Public Health. 2022 Jun 13;10:898148. doi: 10.3389/fpubh.2022.898148. eCollection 2022.

Abstract

To get to know the mental status of community workers involved in the prevention of COVID-19 epidemic, provide them with mental counseling and guidance, and predict their mental health status, a cloud model for the mental health prediction of community workers involved in the prevention of COVID-19 epidemic was constructed in this paper. First, the method to collect data about mental health was determined; second, the basic definition of cloud was discussed, the digital features of cloud were analyzed, and then, the cloud theory model was constructed; third, a model to predict the mental health of community workers involved in the prevention of COVID-19 epidemic was constructed based on the cloud theory, and corresponding algorithm was designed. Finally, a community was chosen as the research object to analyze and predict its mental health status. The research results suggest that the model can effectively predict the mental health status of community workers involved in the prevention of COVID-19 epidemic.

摘要

为了解参与 COVID-19 疫情防控的社区工作者的心理健康状况,为他们提供心理咨询和指导,并预测其心理健康状况,本文构建了一种用于预测参与 COVID-19 疫情防控的社区工作者心理健康状况的云模型。首先,确定了收集心理健康数据的方法;其次,讨论了云的基本定义,分析了云的数字特征,然后构建了云理论模型;第三,基于云理论构建了预测参与 COVID-19 疫情防控的社区工作者心理健康状况的模型,并设计了相应的算法。最后,选择一个社区作为研究对象进行分析和预测其心理健康状况。研究结果表明,该模型可以有效地预测参与 COVID-19 疫情防控的社区工作者的心理健康状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45a/9234208/040fa5c03b23/fpubh-10-898148-g0001.jpg

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