Dynamics of coronavirus infection in human

Fathalla A. Rihan; Nasser Al-Salti; Mohamed Naim Y. Anwar

doi:10.1063/1.5045415

Dynamics of coronavirus infection in human

Fathalla A. Rihan^*, Nasser Al-Salti, Mohamed Naim Y. Anwar

^*Corresponding author for this work

Mathematics & Statistics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Mathematical Methods and Computational Techniques in Science and Engineering II
Editors	Nikos Bardis
Publisher	American Institute of Physics Inc.
Volume	1982
ISBN (Electronic)	9780735416987
DOIs	https://doi.org/10.1063/1.5045415
Publication status	Published - Jul 27 2018
Event	2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering - Cambridge, United Kingdom Duration: Feb 16 2018 → Feb 18 2018

Other

Other	2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering
Country/Territory	United Kingdom
City	Cambridge
Period	2/16/18 → 2/18/18

Keywords

Coronavirus
Immunological barrier
Infectious disease
Mathematical modeling; Sensitivity

ASJC Scopus subject areas

Physics and Astronomy(all)

Access to Document

10.1063/1.5045415

Cite this

Rihan, FA, Al-Salti, N & Anwar, MNY 2018, Dynamics of coronavirus infection in human. in N Bardis (ed.), Mathematical Methods and Computational Techniques in Science and Engineering II. vol. 1982, 020009, American Institute of Physics Inc., 2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering, Cambridge, United Kingdom, 2/16/18. https://doi.org/10.1063/1.5045415

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title = "Dynamics of coronavirus infection in human",

abstract = "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.",

keywords = "Coronavirus, Immunological barrier, Infectious disease, Mathematical modeling; Sensitivity",

author = "Rihan, {Fathalla A.} and Nasser Al-Salti and Anwar, {Mohamed Naim Y.}",

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day = "27",

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editor = "Nikos Bardis",

booktitle = "Mathematical Methods and Computational Techniques in Science and Engineering II",

publisher = "American Institute of Physics Inc.",

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T1 - Dynamics of coronavirus infection in human

AU - Rihan, Fathalla A.

AU - Al-Salti, Nasser

AU - Anwar, Mohamed Naim Y.

PY - 2018/7/27

Y1 - 2018/7/27

N2 - 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.

AB - 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.

KW - Coronavirus

KW - Immunological barrier

KW - Infectious disease

KW - Mathematical modeling; Sensitivity

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BT - Mathematical Methods and Computational Techniques in Science and Engineering II

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Y2 - 16 February 2018 through 18 February 2018

ER -

Dynamics of coronavirus infection in human

Abstract

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Keywords

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