SENSITIVITY ANALYSIS OF A TUBERCULOSIS (TB) MATHEMATICAL MODEL
Keywords:
Sensitivity analysis, Basic reproduction number, Disease free equilibrium, TuberculosisAbstract
In this work, we have constructed a modified Mathematical model for the transmission dynamics of tuberculosis TB. Feasibility and positivity of solutions of the model are determined and it is established that the model is well posed and that the solutions are
all positive. The disease-free equilibrium (DFE) is also determined and the basic reproduction number ???????? is computed. Sensitivity analysis of the basic reproduction number is conducted to find parameters of the model that are most sensitive and should be targeted by intervention strategies. It was therefore, observed through sensitivity analysis that TB induced death (d) has a high impact on ???????? and varies inversely with ???????? . Graphical simulation of the model parameters was performed. It was observed that model parameters such as infection rate (????), recruitment rate (????) and rate of movement from latent to active TB (????) are directly proportional to the basic reproduction number???????? . Finally, it is observed that the basic reproduction number ???????? is a decreasing function of the recovery rate (????) and natural death rate (????).
Downloads
References
WHO, (2017) Tuberculosis key facts. www.who.int/medicalcentre/factsheet/fs104/en/.html
Centre for disease control and prevention (CDC), (2011). TB Elimination: The difference between Latent TB Infection and TB Disease. Htt://www.cdc.gov/tb
Visual medical Centre (VMC),2017). Tuberculosis TB .https://www.myvmc.com/dieasetuberculoi/
WHO, (2013). HIV-Associated TB facts. Htt//www.who.int/tb/challenges/hiv/
WHO, (2015). TB Africa. www.afro.who.int/tuberculosishtml
Nadhirah, B.T. (2013). Tuberculosis Model: A Mathematical approach. An unpublished M.Sc. thesis submitted to the faculty of science, University of Malaya, Kuala Lumpur.
[8] [9] [10] [11] [12] [13] [14]
Vegha, Onwubuya and Mande J. of NAMP Hellen, N. (2011). Modeling the effects of stress on the dynamics and treatment of Tuberculosis. An
unpublished M.Sc.
Emmanuel, A.A. (2013). Analysis of transmission dynamics of tuberculosis (TB) using differential equations. An unpublished M.Sc. thesis submitted to the department of Mathematics, Kwame Nkruma University of science and Technology Ghana.
Bolarin, G. and Omatolal, U. (2016). A mathematical analysis of HIV/TB co-infection model. Applied Mathematics, 6, (4) 65-72.
S.A. Egbetade and M.O. Ibrahim (2012). On the existence of solution of a TB model. IOSR Journal of Mathematics, 4, (1) 50-52.
Benyah, F. (2009). Mathematical Models of Infectious Disease. A seminar paper presented at the 11th regional college on Modeling, Simulation and Optimization, University of Cape Coast Ghana.
Lungu, E. M., Kgosimore, F. and Nyabadza, M. (2007). Mathematical epidemiology. Lecture Note, Department of Mathematics, University of
Botswana.72pp. Retrieved from http://ms.mcmaster.ca/earn/paper/pdf/Earn2008light.pdf. (March 31,2018).
Josephine, E. A. (2009). The basic reproduction number: Bifurcation and stability. A PGD thesis submitted to the African Institute of Mathematical Sciences.
Stephen, E. and Nkuba, N. A. (2015). Mathematical model for the dynamics of cholera with control measures. Applied and computational Mathematics, 4, (2) 53- 63.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 The Journals of the Nigerian Association of Mathematical Physics
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.