{"title":"美国50个州COVID-19政策结果的时序分析。州","authors":"Yoshiyasu Takefuji , Junya Toyokura","doi":"10.1016/j.clicom.2023.08.002","DOIUrl":null,"url":null,"abstract":"<div><p>Goal of health policies is to protect and promote the health of communities. We examined COVID-19 policy outcomes of the 50 US states according to policymaker assumptions over time. With daily cumulative population mortality chosen as an indicator to evaluate and score outcomes of individual health policies, Hawaii had the best score and Arizona has the worst score. Our policy outcome analysis tool could identify and quantify policymakers’ faulty assumptions against COVID-19, and concludes that the more COVID-19 deaths, the greater the economic loss.</p></div>","PeriodicalId":100269,"journal":{"name":"Clinical Immunology Communications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-series COVID-19 policy outcome analysis of the 50U.S. states\",\"authors\":\"Yoshiyasu Takefuji , Junya Toyokura\",\"doi\":\"10.1016/j.clicom.2023.08.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Goal of health policies is to protect and promote the health of communities. We examined COVID-19 policy outcomes of the 50 US states according to policymaker assumptions over time. With daily cumulative population mortality chosen as an indicator to evaluate and score outcomes of individual health policies, Hawaii had the best score and Arizona has the worst score. Our policy outcome analysis tool could identify and quantify policymakers’ faulty assumptions against COVID-19, and concludes that the more COVID-19 deaths, the greater the economic loss.</p></div>\",\"PeriodicalId\":100269,\"journal\":{\"name\":\"Clinical Immunology Communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Immunology Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772613423000252\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Immunology Communications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772613423000252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time-series COVID-19 policy outcome analysis of the 50U.S. states
Goal of health policies is to protect and promote the health of communities. We examined COVID-19 policy outcomes of the 50 US states according to policymaker assumptions over time. With daily cumulative population mortality chosen as an indicator to evaluate and score outcomes of individual health policies, Hawaii had the best score and Arizona has the worst score. Our policy outcome analysis tool could identify and quantify policymakers’ faulty assumptions against COVID-19, and concludes that the more COVID-19 deaths, the greater the economic loss.
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