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Sensitivity analysis of chronic hepatitis C virus infection with immune response and cell proliferation

作     者:Khondoker Nazmoon Nabi Chandra NPoddert 

作者机构:Department of Mathematics Bangladesh University of Engineering and Technology(BUET)Dhaka 1000Bangladesh Department of MathematicsUniversity of Dhaka Dhaka 1000Bangladesh 

出 版 物:《International Journal of Biomathematics》 (生物数学学报(英文版))

年 卷 期:2020年第13卷第3期

页      面:55-78页

核心收录:

学科分类:1004[医学-公共卫生与预防医学(可授医学、理学学位)] 100401[医学-流行病与卫生统计学] 10[医学] 

主  题:Chronic hepatitis immune response cell proliferation sensitivity 

摘      要:A new mathematical model of chronic hepatitis C virus(HCV)infection incorporating humoral and cell-mediated immune responscs,distinct cell proliferation rates for both uninfected and infected hepatocytes,and antiviral treatment all at once,is formulated and analyzed *** of the model elucidates the existence of multiple equilibrium ***,the model has a locally asymptotically stable disease-free equilibrium(DFE)whenever the basic reproduction number is less than *** sensitivity analysis(***)result exhibits that the most influential(negatively sensitive)parameters on the epidemic threshold are the drug efficacy of blocking virus production and the drug efficacy of removing ***,LSA does not accurately assess uncertainty and scnsitivity in the system and may mislead us since by default this technique holds all other parameters fixed at baseline *** overcome this pitfall,one of the most robust and efficient global sensitivity analysis(GSA)methods,which is Latin hypercube sampling-partial rank correlation coefficient technique,elucidates that the proliferation rate of infected hepatocytes and the drug efficacy of killing infected hep-atocytes are highly sensitive parameters that affect the transmission dynamics of HCV in any *** study suggests that cell proliferation of the infected hepatocytes can be very crucial in controlling disease ***,a future HCV drug that boosts cell-mediated immune response is expected to be quite effective in controlling disease outbreak.

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