Dynamics of coronavirus infection in human
Author(s) -
Fathalla A. Rihan,
Nasser Al-Salti,
Mohamed-Naim Y. Anwar
Publication year - 2018
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5045415
Subject(s) - middle east respiratory syndrome coronavirus , innate immune system , interferon , immunology , respiratory tract , respiratory system , virus , coronavirus , immune system , middle east respiratory syndrome , acquired immune system , virology , medicine , biology , covid-19 , disease , infectious disease (medical specialty)
Middle East Respiratory Syndrome Coronavirus (MERS-CorV), was discovered in humans with lower respiratory tract infection, causes a range of illnesses in humans, from the common cold to the Severe Acute Respiratory Syndrome (SARS). Scientists give much attention to study the CorV infection among groups and travelers. In this paper, we utilize a mathematical model governed by a system of differential equations, which incorporate target cell limitation and the innate interferon response, investigate the innate and adaptive immune responses to primary CorV infection in an individual. We also investigate the sensitivity analysis of the model to determine the most sensitive parameters and informative subintervals. This study may promote clearance of virus and host recovery from infection.Middle East Respiratory Syndrome Coronavirus (MERS-CorV), was discovered in humans with lower respiratory tract infection, causes a range of illnesses in humans, from the common cold to the Severe Acute Respiratory Syndrome (SARS). Scientists give much attention to study the CorV infection among groups and travelers. In this paper, we utilize a mathematical model governed by a system of differential equations, which incorporate target cell limitation and the innate interferon response, investigate the innate and adaptive immune responses to primary CorV infection in an individual. We also investigate the sensitivity analysis of the model to determine the most sensitive parameters and informative subintervals. This study may promote clearance of virus and host recovery from infection.
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