Mathematical Modeling of the HIVKaposi’s Sarcoma Coinfection Dynamics in Areas of High HIV Prevalence

Joint Authors

Ndelwa, E.
Ainea, N.
Chibaya, S.
Lungu, E.
Massaro, T. J.
Malunguza, N. J.

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-11-17

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Medicine

Abstract EN

We formulate a deterministic system of ordinary differential equations to quantify HAART treatment levels for patients co-infected with HIV and Kaposi's Sarcoma in a high HIV prevalence setting.

A qualitative stability analysis of the equilibrium states is carried out and we find that the disease-free equilibrium is globally attracting whenever the reproductive number ℛ k<1.

A unique endemic equilibrium exists and is locally stable whenever ℛ k>1.

Therefore, reducing ℛ k to below unity should be the goal for disease eradication.

Provision of HAART is shown to provide dual benefit of reducing HIV spread and the risk of acquiring another fatal disease for HIV/AIDS patients.

By providing treatment to 10% of the HIV population, about 87% of the AIDS population acquire protection against coinfection with HIV and Kaposi's Sarcoma (KS).

Most sub-Sahara African countries already have programmes in place to screen HIV.

Our recommendation is that these programmes should be expanded to include testing for HHV-8 and KS counseling.

American Psychological Association (APA)

Lungu, E.& Massaro, T. J.& Ndelwa, E.& Ainea, N.& Chibaya, S.& Malunguza, N. J.. 2013. Mathematical Modeling of the HIVKaposi’s Sarcoma Coinfection Dynamics in Areas of High HIV Prevalence. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-496045

Modern Language Association (MLA)

Lungu, E.…[et al.]. Mathematical Modeling of the HIVKaposi’s Sarcoma Coinfection Dynamics in Areas of High HIV Prevalence. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-496045

American Medical Association (AMA)

Lungu, E.& Massaro, T. J.& Ndelwa, E.& Ainea, N.& Chibaya, S.& Malunguza, N. J.. Mathematical Modeling of the HIVKaposi’s Sarcoma Coinfection Dynamics in Areas of High HIV Prevalence. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-496045

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-496045