{"title":"新型冠状病毒肺炎防控模式及效果分析","authors":"Jian Zhou, Xiaona Lu, Liang Ye, Yun Shao","doi":"10.54605/fec20210403","DOIUrl":null,"url":null,"abstract":"This study evaluates COVID-19 prevention and control policies. Based on the simulation, we compare the effects of two major policies: contact restriction and active treatment. Through regression and cluster analysis, we classified 169 countries and regions in the world into 10 groups, among which five groups accounted for the major proportion: the ones with the labels “CHN (China) mode,” “SE (South Europe) mode,” “ENE-SSA (East & North Europe and Sub-Saharan Africa) mode,” “US (United States) mode,” and “DEU (Germany) mode”). Differences in the effects of the prevention and control of COVID-19 in typical countries in each mode are comprehensively investigated. The conclusions of this study can be summarized as follows: First, contact restriction outperforms active treatment in curbing the spread of COVID-19. Second, “CHN mode” ranks the highest level of epidemic control and emphasizes epidemic prevention and control more than economic stimulus, which is the opposite of the “US mode”. Regression analysis reveals that the differences in epidemics worldwide are caused by policy differences among modes.","PeriodicalId":44830,"journal":{"name":"Frontiers of Economics in China","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of COVID-19 Prevention and Control Modes and Effects\",\"authors\":\"Jian Zhou, Xiaona Lu, Liang Ye, Yun Shao\",\"doi\":\"10.54605/fec20210403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study evaluates COVID-19 prevention and control policies. Based on the simulation, we compare the effects of two major policies: contact restriction and active treatment. Through regression and cluster analysis, we classified 169 countries and regions in the world into 10 groups, among which five groups accounted for the major proportion: the ones with the labels “CHN (China) mode,” “SE (South Europe) mode,” “ENE-SSA (East & North Europe and Sub-Saharan Africa) mode,” “US (United States) mode,” and “DEU (Germany) mode”). Differences in the effects of the prevention and control of COVID-19 in typical countries in each mode are comprehensively investigated. The conclusions of this study can be summarized as follows: First, contact restriction outperforms active treatment in curbing the spread of COVID-19. Second, “CHN mode” ranks the highest level of epidemic control and emphasizes epidemic prevention and control more than economic stimulus, which is the opposite of the “US mode”. Regression analysis reveals that the differences in epidemics worldwide are caused by policy differences among modes.\",\"PeriodicalId\":44830,\"journal\":{\"name\":\"Frontiers of Economics in China\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2021-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers of Economics in China\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.54605/fec20210403\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers of Economics in China","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.54605/fec20210403","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
Analysis of COVID-19 Prevention and Control Modes and Effects
This study evaluates COVID-19 prevention and control policies. Based on the simulation, we compare the effects of two major policies: contact restriction and active treatment. Through regression and cluster analysis, we classified 169 countries and regions in the world into 10 groups, among which five groups accounted for the major proportion: the ones with the labels “CHN (China) mode,” “SE (South Europe) mode,” “ENE-SSA (East & North Europe and Sub-Saharan Africa) mode,” “US (United States) mode,” and “DEU (Germany) mode”). Differences in the effects of the prevention and control of COVID-19 in typical countries in each mode are comprehensively investigated. The conclusions of this study can be summarized as follows: First, contact restriction outperforms active treatment in curbing the spread of COVID-19. Second, “CHN mode” ranks the highest level of epidemic control and emphasizes epidemic prevention and control more than economic stimulus, which is the opposite of the “US mode”. Regression analysis reveals that the differences in epidemics worldwide are caused by policy differences among modes.
期刊介绍:
Frontiers of Economics in China seeks to provide a forum for a broad blend of peer-reviewed academic papers of economics in order to promote communication and exchanges between economists in China and abroad. It will reflect the enormous advances that are currently being made in China in the field of economy and society. In addition, this journal also bears the mission of introducing the academic achievements on Chinese economics research to the world.