Working PaperArticleVersion 1This version is not peer-reviewed
Population-Based Reductionist Measures Cannot PreventSARS-CoV-2Induced Global Health Crisis: A Compelling Need To Improve Personal Resistance to the Virus
Version 1
: Received: 22 August 2020 / Approved: 24 August 2020 / Online: 24 August 2020 (03:11:34 CEST)
How to cite:
Wu, J.; Zha, P. Population-Based Reductionist Measures Cannot PreventSARS-CoV-2Induced Global Health Crisis: A Compelling Need To Improve Personal Resistance to the Virus. Preprints2020, 2020080503
Wu, J.; Zha, P. Population-Based Reductionist Measures Cannot Prevent SARS-CoV-2 Induced Global Health Crisis: A Compelling Need To Improve Personal Resistance to the Virus. Preprints 2020, 2020080503
Wu, J.; Zha, P. Population-Based Reductionist Measures Cannot PreventSARS-CoV-2Induced Global Health Crisis: A Compelling Need To Improve Personal Resistance to the Virus. Preprints2020, 2020080503
APA Style
Wu, J., & Zha, P. (2020). <b>Population-Based Reductionist Measures Cannot Prevent</b><b> </b><b>SARS-CoV-2</b> <b>Induced Global Health Crisis:</b> A Compelling Need To Improve Personal Resistance to the Virus. Preprints. https://doi.org/
Chicago/Turabian Style
Wu, J. and Ping Zha. 2020 "<b>Population-Based Reductionist Measures Cannot Prevent</b><b> </b><b>SARS-CoV-2</b> <b>Induced Global Health Crisis:</b> A Compelling Need To Improve Personal Resistance to the Virus" Preprints. https://doi.org/
Abstract
To predict how the COVID-19 pandemic progresses, we developed a systematic method for predicting disease outcomes. In the method, we evaluate how personal disease outcomes are mainly affected by viral concentration and exposure time and four defense mechanisms: human innate immunity/host response, acquired immune response, inflammation resolution and micro circulation, and the available space in the thorax cage. By considering how pandemic measures affect viral exposure and those mechanisms, we found many pandemic measures are misused or abused to deliver long-term adverse impacts. We noted that lifestyles have been changed as a result of movement restriction measures. By using the method, we found that altered lifestyles are predicted to raise infection rate, disability and death risks in the future. We show that a person can use personal, environmental, emotional factors to reduce infection rate and death risk. To prove the validity of this finding, we extensively examined medical research models, holistic and reductionist models, epidemiological models, disease risk factors, etc, and found that population methods are unfit for studying holistic health, statistical population does not exist in most clinical trials, mathematical models were misused for studying disease properties for a population, mathematical equations for modeling personal diseases are beyond human ability to solve, statistical models are misused, population-derived treatments are inherently dangerous to patients, vaccines have limited benefits due to unique lung structure and rapid RNA mutation, and immune system damage is caused by fast viral replication rate. We found that altering biological properties to improve the defense mechanisms could prevent a super majority of deaths and prevent the virus from reaching a point to damage the immune system. For vulnerable persons, such measure is a viable strategy for surviving from the pandemic. As a whole, holistic personalized medicine is more powerful than population-based reductionist treatment by one to several orders of magnitudes. We urge people do their parts to force the medical establishment to abandon population treatment models that are responsible for failure of medicine and dissemination of misleading and factually wrong information on the effectiveness of medical treatments.
Keywords
SARS-CoV-2; COVID-19; public health intervention; disease severity; personal survival strategy; randomized control trials; epidemiological model; junk science; mind and body; reductionist
Subject
Medicine and Pharmacology, Pathology and Pathobiology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.