Open AccessApplication of principal component analysis in evaluation of epidemic situation policy implementation
Author(s) -
Jiaqi Chen,
Fen Gong,
Shaojun Xiang,
Ting Yu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1903/1/012056
Subject(s) - principal component analysis , principal (computer security) , degree (music) , government (linguistics) , component (thermodynamics) , order (exchange) , control (management) , computer science , psychology , business , artificial intelligence , computer security , linguistics , philosophy , physics , finance , acoustics , thermodynamics
In order to study the impact of various policies issued by the government on epidemic prevention and control, we first considered them from three aspects: the degree of leniency of policies, the degree of stringency of policy implementation and the degree of self-consciousness of individuals, broken down into 10 indicators, designed a questionnaire to collect relevant data. Using Principal Component Analysis (PCA), 4 principal components were extracted from 10 indexes, and the scores and total scores of each principal component were obtained. Finally, the corresponding suggestions are given.