Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Department of Computational Mathematics, School of Mathematics, Jilin University, Changchun, China.
Front Public Health. 2022 Apr 28;10:793176. doi: 10.3389/fpubh.2022.793176. eCollection 2022.
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.
自 2019 年以来，COVID-19 在全球范围内传播，对整个社会造成了严重的破坏。从宏观角度研究探索不同国家的一些社会相关指标的变化具有重要意义。
我们收集了九个社会相关指标和 COVID-安全评估得分。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讨大流行对发达国家和发展中国家指标的影响。
结果表明，COVID-19 疫情对居民的生活造成了多方面的影响，特别是在生活质量、购买力和安全性方面。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疫情影响的指标不同。
这场大流行已经在许多方面改变了居民的生活。我们的进一步研究表明，发达国家和发展中国家的社会相关指标的影响不同，这与它们的疫情严重程度和控制措施有关。另一方面，气候对 COVID-19 的控制至关重要。因此，探索社会相关指标的变化具有重要意义，有助于为不同国家提供有针对性的治理策略。我们的文章将有助于不同发展水平的国家更加关注社会变化，并在努力控制这一大流行病的同时，及时采取有效措施调整社会变化。
