COVID-19 Data Collection, Comorbidity & Federal Law: A Historical Retrospective
Henry Ealy ∗ , † , Michael McEvoy ‡§, Daniel Chong , John Nowicki , Monica Sava ¶ , Sandeep Gupta k , David White ∗∗, James Jordan , Daniel Simon ††, Paul Anderson ‡‡
Science, Public Health Policy, and The LawVolume 2:4-22 October 12, 2020
ETHICS IN SCIENCE AND TECHNOLOGY
Abstract
According to the Centers for Disease Control and Prevention (CDC) on August 23, 2020, “For 6% of the deaths, COVID-19 was the only cause mentioned. For deaths with conditions or causes in addition to COVID-19 , on average, there were 2.6 additional conditions or causes per death.”[1] For a nation tormented by restrictive public health policies mandated for healthy individuals and small businesses, this is the most important statistical revelation of this crisis. This revelation significantly impacts the published fatalities count due to COVID-19...Supportive data comparisons suggest the existing COVID-19 fatality data, which has been so influential upon public policy, may be substantially compromised regarding accuracy and integrity, and illegal under existing federal laws. If the fatality data being presented by the CDC is illegally inflated, then all public health policies based upon them would be immediately null and void.
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