Genetic-Mathematical Modeling of Population Interaction, New Psychoneuroimmunoendocrinology and Psychoneuroimmunology

Abstract

Modern digital healthcare, biophysics and biology create new problems that stimulate the development of a new biophysical circuit and mathematical models from nuclear fusion (nuclear medicine) to genomic cell-organizational prognosis in neurophysiology, neuroendocrinology, psychoneuroimmunology and psychoneuroimmunoendocrinology. In this case, the following are effectively used: deterministic, stochastic, hybrid, multiscale modeling methods, as well as analytical and computational methods. The solution of a genetical-mathematical problem of interaction of cages of human population and virus population in relation to COVID-19 pandemic problem is submitted. A mathematical model based on the Hardy-Weinberg law is used, consisting of two interdependent differential equations. The equations reflect the temporal dynamics of the cells of human and viral populations during their interaction. Solutions of differential equations were found and the results of these solutions were analyzed. The pandemic duration is estimated using parameters of human liver cells and influenza virus. Perspective of further development of psychoneuroimmunology as interdisciplinary science, through algorithms and routing of digital health care, with expansion of psychoneurocommunications of professional interests in medicine, economics, sociology, cultural studies is shown. Modern neurobes and neuromarketing are built around Homo sapiens within a “reasonable environment” — a healthy individual space.