Viscoelastic or viscoplastic theory (vgt #115): a study of the us unemployment rates and covid-19 infection cases during the pandemic period from y2020q1 to y2022q1 based on gh-method: math-physical medicine, especially the vgt energy tool (no. 705)

Abstract

The author is a mathematician and engineer who has conducted medical research work over the past 13 years. Thus far, he has written more than 700 medical research papers. Beginning with paper No. 578 dated 1/8/2022, he has written a total of 110 medical research articles and 5 economic research articles using the viscoelasticity and viscoplasticity theories (VGT). These papers aim to explore some hidden biophysical or physical behaviors and provide a quantitative understanding and interpretations of the relationships of a selected medical output (symptom) versus either selected singular input or multiple inputs (root causes, risk factors, or influential inputs). The hidden biophysical behaviors and possible inter-relationships exist among lifestyle details, medical conditions, chronic diseases, and certain severe complications, such as heart attacks, stroke, cancers, dementia, and even longevity concerns. The chosen medical subjects with their associated data, multiple symptoms, and influential factors are “time-dependent” which means that all biomedical variables change from time to time because body living cells are dynamically changing. This is what Professor Norman Jones, the author’s adviser at MIT, suggested to him in December 2021 and why he utilizes the VGT tools from physics and engineering to conduct his medical research work since then.