{"title":"保护科学诚信和针对COVID-19的公共政策声明","authors":"M. McAleer","doi":"10.47654/v24y2020i1p70-84","DOIUrl":null,"url":null,"abstract":"The SARS-CoV-2 virus and the associated COVID-19 disease is a pandemic that has rocked the world in terms of public health and medical issues, business, economics and finance. Interesting and topical discussions regarding risk management of COVID-19 have been reported in leading business, economics, finance, and medical journals, as well as information and misinformation, intended or not, in the mass media. In this context, protecting the integrity of public policy pronouncements relating to the conduct and outcomes of scientific clinical trials. In terms of protecting the scientific integrity of clinical trials of COVID-19 patients, it is intentional to determine whether imperfectly collected data on clinical trials are more useful than having no data at all.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19\",\"authors\":\"M. McAleer\",\"doi\":\"10.47654/v24y2020i1p70-84\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The SARS-CoV-2 virus and the associated COVID-19 disease is a pandemic that has rocked the world in terms of public health and medical issues, business, economics and finance. Interesting and topical discussions regarding risk management of COVID-19 have been reported in leading business, economics, finance, and medical journals, as well as information and misinformation, intended or not, in the mass media. In this context, protecting the integrity of public policy pronouncements relating to the conduct and outcomes of scientific clinical trials. In terms of protecting the scientific integrity of clinical trials of COVID-19 patients, it is intentional to determine whether imperfectly collected data on clinical trials are more useful than having no data at all.\",\"PeriodicalId\":38875,\"journal\":{\"name\":\"Advances in Decision Sciences\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Decision Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47654/v24y2020i1p70-84\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Decision Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47654/v24y2020i1p70-84","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Decision Sciences","Score":null,"Total":0}
Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19
The SARS-CoV-2 virus and the associated COVID-19 disease is a pandemic that has rocked the world in terms of public health and medical issues, business, economics and finance. Interesting and topical discussions regarding risk management of COVID-19 have been reported in leading business, economics, finance, and medical journals, as well as information and misinformation, intended or not, in the mass media. In this context, protecting the integrity of public policy pronouncements relating to the conduct and outcomes of scientific clinical trials. In terms of protecting the scientific integrity of clinical trials of COVID-19 patients, it is intentional to determine whether imperfectly collected data on clinical trials are more useful than having no data at all.
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