TY - JOUR
T1 - Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19
AU - McAleer, Michael
N1 - Funding Information:
* The author acknowledges the financial support of the Australian Research Council and the Ministry of Science and Technology (MOST), Taiwan.
Publisher Copyright:
© 2020 Hindawi Limited. All rights reserved.
PY - 2020/3
Y1 - 2020/3
N2 - The SARS-CoV-2 virus and the associatedCOVID-19disease is a pandemic that has rocked the worldin 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 andoutcomes 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.
AB - The SARS-CoV-2 virus and the associatedCOVID-19disease is a pandemic that has rocked the worldin 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 andoutcomes 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.
UR - http://www.scopus.com/inward/record.url?scp=85090518420&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85090518420
VL - 24
SP - 1
EP - 14
JO - Advances in Decision Sciences
JF - Advances in Decision Sciences
SN - 2090-3359
IS - 1
ER -
