Dehghani Mohammad, Ebrahimi Fezzeh
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.
Department of Knowledge and Information Science, University of Isfahan, Isfahan, Iran.
Inform Med Unlocked. 2023;36:101144. doi: 10.1016/j.imu.2022.101144. Epub 2022 Dec 22.
The COVID-19 pandemic has indisputably impacted every aspect of human life, and a host of studies have investigated its different aspects. This paper models the contents of Persian literature on COVID-19.
This is a descriptive-exploratory study in which 815 articles were collected from the Magiran database. The articles were published before March 2022. The abstracts and titles were used in the modeling. The modeling was performed by combining the latent Dirichlet allocation (LDA) algorithm with ParsBERT.
Topic modeling indicated ten major topics, including medicine, psychology, humanities, politics, management, biology, economics, culture, engineering, and religion. The articles under the category of medicine had the largest cluster (42.3%), while engineering and religion had the smallest clusters (1.1% each).
The found topics in the created clusters have structural relationships. The COVID-19 effect on physical and mental health (medical and psychological topics) is the most crucial factor. These clusters provide evidence that COVID-19 affects all facets of human society at three levels: the individual, family, and society. Aside from the ten critical clusters in the humanities field, the utmost disorder is related to teaching and learning. For the first time, this research has presented a model of scientific communication in the field of COVID-19 based on the data collected from a Persian database - Magiran.
2019冠状病毒病疫情无疑对人类生活的方方面面产生了影响，众多研究对其不同方面进行了调查。本文对波斯语关于2019冠状病毒病的文献内容进行建模。
这是一项描述性探索性研究，从Magiran数据库收集了815篇文章。这些文章于2022年3月之前发表。建模中使用了摘要和标题。建模通过将潜在狄利克雷分配（LDA）算法与ParsBERT相结合来进行。
主题建模显示了十个主要主题，包括医学、心理学、人文、政治、管理、生物学、经济学、文化、工程和宗教。医学类文章的聚类最大（42.3%），而工程和宗教类的聚类最小（各占1.1%）。
在创建的聚类中发现的主题具有结构关系。2019冠状病毒病对身心健康（医学和心理学主题）的影响是最关键因素。这些聚类证明2019冠状病毒病在个人、家庭和社会三个层面影响人类社会的所有方面。除了人文领域的十个关键聚类外，最大的混乱与教学有关。本研究首次基于从波斯语数据库Magiran收集的数据，提出了2019冠状病毒病领域的科学传播模型。
