Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO
BackgroundThe 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.MethodsWe collected nine social-related indexes and the score of COVID-sa...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.793176/full |
| _version_ | 1811303991686987776 |
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| author | Xuecan Guo Ruiyu Chai Yan Yao Yanbiao Mi Yingshuang Wang Tianyu Feng Junwei Tian Bocheng Shi Jiwei Jia Jiwei Jia Siyu Liu |
| author_facet | Xuecan Guo Ruiyu Chai Yan Yao Yanbiao Mi Yingshuang Wang Tianyu Feng Junwei Tian Bocheng Shi Jiwei Jia Jiwei Jia Siyu Liu |
| author_sort | Xuecan Guo |
| collection | DOAJ |
| description | BackgroundThe 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.MethodsWe 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.ResultsIt 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.ConclusionThis 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. |
| first_indexed | 2024-04-13T07:59:03Z |
| format | Article |
| id | doaj.art-5fa6ed18911e46969e0bad5126e9db00 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-13T07:59:03Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-5fa6ed18911e46969e0bad5126e9db002022-12-22T02:55:20ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-04-011010.3389/fpubh.2022.793176793176Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEOXuecan Guo0Ruiyu Chai1Yan Yao2Yanbiao Mi3Yingshuang Wang4Tianyu Feng5Junwei Tian6Bocheng Shi7Jiwei Jia8Jiwei Jia9Siyu Liu10Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, ChinaDepartment of Computational Mathematics, School of Mathematics, Jilin University, Changchun, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, ChinaDepartment of Computational Mathematics, School of Mathematics, Jilin University, Changchun, ChinaDepartment of Computational Mathematics, School of Mathematics, Jilin University, Changchun, ChinaDepartment of Computational Mathematics, School of Mathematics, Jilin University, Changchun, ChinaJilin National Applied Mathematical Center, Jilin University, Changchun, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, ChinaBackgroundThe 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.MethodsWe 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.ResultsIt 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.ConclusionThis 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.https://www.frontiersin.org/articles/10.3389/fpubh.2022.793176/fullCOVID-19time series analysissocial-related Indexesclimatek-means clustering algorithm |
| spellingShingle | Xuecan Guo Ruiyu Chai Yan Yao Yanbiao Mi Yingshuang Wang Tianyu Feng Junwei Tian Bocheng Shi Jiwei Jia Jiwei Jia Siyu Liu Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO Frontiers in Public Health COVID-19 time series analysis social-related Indexes climate k-means clustering algorithm |
| title | Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO |
| title_full | Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO |
| title_fullStr | Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO |
| title_full_unstemmed | Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO |
| title_short | Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO |
| title_sort | comprehensive analysis of the covid 19 based on the social related indexes from numbeo |
| topic | COVID-19 time series analysis social-related Indexes climate k-means clustering algorithm |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.793176/full |
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