关键词: COVID-19 climate k-means clustering algorithm social-related Indexes time series analysis

Mesh : COVID-19 / epidemiology Data Analysis Humans Pandemics Quality of Life SARS-CoV-2

来  源:   DOI:10.3389/fpubh.2022.793176   PDF(Pubmed)

Abstract:
The COVID-19 has been spreading globally since 2019 and causes serious damage to the whole society. A macro perspective study to explore the changes of some social-related indexes of different countries is meaningful.
We collected nine social-related indexes and the score of COVID-safety-assessment. Data analysis is carried out using three time series models. In particular, a prediction-correction procedure was employed to explore the impact of the pandemic on the indexes of developed and developing countries.
It shows that COVID-19 epidemic has an impact on the life of residents in various aspects, specifically in quality of life, purchasing power, and safety. Cluster analysis and bivariate statistical analysis further indicate that indexes affected by the pandemic in developed and developing countries are different.
This pandemic has altered the lives of residents in many ways. Our further research shows that the impacts of social-related indexes in developed and developing countries are different, which is bounded up with their epidemic severity and control measures. On the other hand, the climate is crucial for the control of COVID-19. Consequently, exploring the changes of social-related indexes is significative, and it is conducive to provide targeted governance strategies for various countries. Our article will contribute to countries with different levels of development pay more attention to social changes and take timely and effective measures to adjust social changes while trying to control this pandemic.
摘要:
自2019年以来,COVID-19在全球范围内蔓延,并对整个社会造成严重破坏。从宏观角度研究不同国家的一些社会相关指标的变化是有意义的。
我们收集了9项社会相关指标和COVID安全性评估得分。使用三个时间序列模型进行数据分析。特别是,采用预测校正程序来探索大流行对发达国家和发展中国家指数的影响。
这表明COVID-19的流行对居民的生活产生了多方面的影响,特别是在生活质量方面,购买力,和安全。聚类分析和双变量统计分析进一步表明,发达国家和发展中国家受大流行影响的指标不同。
这场流行病在许多方面改变了居民的生活。我们进一步的研究表明,发达国家和发展中国家的社会相关指数的影响是不同的,这与他们的流行病严重程度和控制措施有关。另一方面,气候对控制COVID-19至关重要。因此,探索社会相关指标的变化具有重要意义,有利于为各国提供有针对性的治理战略。我们的文章将有助于不同发展水平的国家在努力控制这一流行病的同时,更加关注社会变化,并采取及时有效的措施来调整社会变化。
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