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Mathematical Modelling of HIV-HCV Coinfection Dynamics in Absence of Therapy
Joint Authors
Nsubuga, Rebecca N.
Mayanja, Edison
Kasozi, Juma
Luboobi, Livingstone S.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-27, 27 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-06
Country of Publication
Egypt
No. of Pages
27
Main Subjects
Abstract EN
Globally, it is estimated that of the 36.7 million people infected with human immunodeficiency virus (HIV), 6.3% are coinfected with hepatitis C virus (HCV).
Coinfection with HIV reduces the chance of HCV spontaneous clearance.
In this work, we formulated and analysed a deterministic model to study the HIV and HCV coinfection dynamics in absence of therapy.
Due to chronic stage of HCV infection being long, asymptomatic, and infectious, our model formulation was based on the splitting of the chronic stage into the following: before onset of cirrhosis and its complications and after onset of cirrhosis.
We computed the basic reproduction numbers using the next generation matrix method.
We performed numerical simulations to support the analytical results.
We carried out sensitivity analysis to determine the relative importance of the different parameters influencing the HIV-HCV coinfection dynamics.
The findings reveal that, in the long run, there is a substantial number of individuals coinfected with HIV and latent HCV.
Therefore, HIV and latently HCV-infected individuals need to seek early treatment so as to slow down the progression of HIV to AIDS and latent HCV to advanced HCV.
American Psychological Association (APA)
Mayanja, Edison& Luboobi, Livingstone S.& Kasozi, Juma& Nsubuga, Rebecca N.. 2020. Mathematical Modelling of HIV-HCV Coinfection Dynamics in Absence of Therapy. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-27.
https://search.emarefa.net/detail/BIM-1139363
Modern Language Association (MLA)
Mayanja, Edison…[et al.]. Mathematical Modelling of HIV-HCV Coinfection Dynamics in Absence of Therapy. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-27.
https://search.emarefa.net/detail/BIM-1139363
American Medical Association (AMA)
Mayanja, Edison& Luboobi, Livingstone S.& Kasozi, Juma& Nsubuga, Rebecca N.. Mathematical Modelling of HIV-HCV Coinfection Dynamics in Absence of Therapy. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-27.
https://search.emarefa.net/detail/BIM-1139363
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139363