Dynamics of coronavirus infection in human

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationMathematical Methods and Computational Techniques in Science and Engineering II
EditorsNikos Bardis
PublisherAmerican Institute of Physics Inc.
Volume1982
ISBN (Electronic)9780735416987
DOIs
Publication statusPublished - Jul 27 2018
Event2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering - Cambridge, United Kingdom
Duration: Feb 16 2018Feb 18 2018

Other

Other2nd International Conference on Mathematical Methods and Computational Techniques in Science and Engineering
CountryUnited Kingdom
CityCambridge
Period2/16/182/18/18

Fingerprint

infectious diseases
interferon
Middle East
clearances
viruses
sensitivity analysis
mathematical models
differential equations
recovery
causes
cells

Keywords

  • Coronavirus
  • Immunological barrier
  • Infectious disease
  • Mathematical modeling; Sensitivity

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Rihan, F. A., Al-Salti, N., & Anwar, M. N. Y. (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.. https://doi.org/10.1063/1.5045415

Dynamics of coronavirus infection in human. / Rihan, Fathalla A.; Al-Salti, Nasser; Anwar, Mohamed Naim Y.

Mathematical Methods and Computational Techniques in Science and Engineering II. ed. / Nikos Bardis. Vol. 1982 American Institute of Physics Inc., 2018. 020009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Rihan FA, Al-Salti N, Anwar MNY. Dynamics of coronavirus infection in human. In Bardis N, editor, Mathematical Methods and Computational Techniques in Science and Engineering II. Vol. 1982. American Institute of Physics Inc. 2018. 020009 https://doi.org/10.1063/1.5045415
Rihan, Fathalla A. ; Al-Salti, Nasser ; Anwar, Mohamed Naim Y. / Dynamics of coronavirus infection in human. Mathematical Methods and Computational Techniques in Science and Engineering II. editor / Nikos Bardis. Vol. 1982 American Institute of Physics Inc., 2018.
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