Open Access
Comparison Between Deterministic and Stochastic Model for Interaction (COVID-19) With Host Cells in Humans
Author(s) -
Ahmed M. Kareem,
Saad Naji Al-Azzawi
Publication year - 2022
Publication title -
mağallaẗ baġdād li-l-ʿulūm
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.167
H-Index - 6
eISSN - 2411-7986
pISSN - 2078-8665
DOI - 10.21123/bsj.2022.6111
Subject(s) - extinction (optical mineralogy) , covid-19 , host (biology) , coronavirus , basic reproduction number , biology , stochastic modelling , computer science , cell , value (mathematics) , virology , mathematics , computational biology , disease , genetics , statistics , medicine , infectious disease (medical specialty) , machine learning , paleontology , population , environmental health , pathology
In this paper, the deterministic and the stochastic models are proposed to study the interaction of the Coronavirus (COVID-19) with host cells inside the human body. In the deterministic model, the value of the basic reproduction number determines the persistence or extinction of the COVID-19. If , one infected cell will transmit the virus to less than one cell, as a result, the person carrying the Coronavirus will get rid of the disease .If the infected cell will be able to infect all cells that contain ACE receptors. The stochastic model proves that if are sufficiently large then maybe give us ultimate disease extinction although , and this facts also proved by computer simulation.