Literature DB >> 24664795

The role of screening and treatment in the transmission dynamics of HIV/AIDS and tuberculosis co-infection: a mathematical study.

Navjot Kaur1, Mini Ghosh, S S Bhatia.   

Abstract

In this paper, we present a deterministic non-linear mathematical model for the transmission dynamics of HIV and TB co-infection and analyze it in the presence of screening and treatment. The equilibria of the model are computed and stability of these equilibria is discussed. The basic reproduction numbers corresponding to both HIV and TB are found and we show that the disease-free equilibrium is stable only when the basic reproduction numbers for both the diseases are less than one. When both the reproduction numbers are greater than one, the co-infection equilibrium point may exist. The co-infection equilibrium is found to be locally stable whenever it exists. The TB-only and HIV-only equilibria are locally asymptotically stable under some restriction on parameters. We present numerical simulation results to support the analytical findings. We observe that screening with proper counseling of HIV infectives results in a significant reduction of the number of individuals progressing to HIV. Additionally, the screening of TB reduces the infection prevalence of TB disease. The results reported in this paper clearly indicate that proper screening and counseling can check the spread of HIV and TB diseases and effective control strategies can be formulated around 'screening with proper counseling'.

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Year:  2014        PMID: 24664795      PMCID: PMC4049375          DOI: 10.1007/s10867-014-9342-3

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  6 in total

1.  Modeling the impact of random screening and contact tracing in reducing the spread of HIV.

Authors:  James M Hyman; Jia Li; E Ann Stanley
Journal:  Math Biosci       Date:  2003-01       Impact factor: 2.144

2.  Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission.

Authors:  P van den Driessche; James Watmough
Journal:  Math Biosci       Date:  2002 Nov-Dec       Impact factor: 2.144

3.  Dynamical models of tuberculosis and their applications.

Authors:  Carlos Castillo-Chavez; Baojun Song
Journal:  Math Biosci Eng       Date:  2004-09       Impact factor: 2.080

4.  Mathematical analysis of the transmission dynamics of HIV/TB coinfection in the presence of treatment.

Authors:  Oluwaseun Sharomi; Chandra N Podder; Abba B Gumel; Baojun Song
Journal:  Math Biosci Eng       Date:  2008-01       Impact factor: 2.080

5.  Modeling TB and HIV co-infections.

Authors:  Lih-Ing W Roeger; Zhilan Feng; Carlos Castillo-Chavez
Journal:  Math Biosci Eng       Date:  2009-10       Impact factor: 2.080

6.  Modeling HIV/AIDS and tuberculosis coinfection.

Authors:  C P Bhunu; W Garira; Z Mukandavire
Journal:  Bull Math Biol       Date:  2009-05-28       Impact factor: 1.758

  6 in total
  2 in total

1.  A fractional order HIV-TB co-infection model in the presence of exogenous reinfection and recurrent TB.

Authors:  Tanvi A; Rajiv Aggarwal; Yashi A Raj
Journal:  Nonlinear Dyn       Date:  2021-05-28       Impact factor: 5.022

2.  HIV/AIDS-Pneumonia Codynamics Model Analysis with Vaccination and Treatment.

Authors:  Shewafera Wondimagegnhu Teklu; Koya Purnachandra Rao
Journal:  Comput Math Methods Med       Date:  2022-01-11       Impact factor: 2.238

  2 in total

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