Tang_2017_Comput.Math.Methods.Med_2017_5285810

Reference

Title : A Novel Dynamic Model Describing the Spread of the MERS-CoV and the Expression of Dipeptidyl Peptidase 4 - Tang_2017_Comput.Math.Methods.Med_2017_5285810
Author(s) : Tang S , Ma W , Bai P
Ref : Comput Math Methods Med , 2017 :5285810 , 2017
Abstract :

The Middle East respiratory syndrome (MERS) coronavirus, a newly identified pathogen, causes severe pneumonia in humans. MERS is caused by a coronavirus known as MERS-CoV, which attacks the respiratory system. The recently defined receptor for MERS-CoV, dipeptidyl peptidase 4 (DPP4), is generally expressed in endothelial and epithelial cells and has been shown to be present on cultured human nonciliated bronchiolar epithelium cells. In this paper, a class of novel four-dimensional dynamic model describing the infection of MERS-CoV is given, and then global stability of the equilibria of the model is discussed. Our results show that the spread of MERS-CoV can also be controlled by decreasing the expression rate of DPP4.

PubMedSearch : Tang_2017_Comput.Math.Methods.Med_2017_5285810
PubMedID: 28894474

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Citations formats

Tang S, Ma W, Bai P (2017)
A Novel Dynamic Model Describing the Spread of the MERS-CoV and the Expression of Dipeptidyl Peptidase 4
Comput Math Methods Med 2017 :5285810

Tang S, Ma W, Bai P (2017)
Comput Math Methods Med 2017 :5285810