Optimal Solution of Mathematical and Statistical Modelling for The Study of Spread, Transmission and Control of Tuberculosis (TB) in Damaturu, Nguru and Potiskum Major Cities of Yobe State


  • Umar Yusuf Madaki Department of Mathematics & Statistics, Yobe State University, Damaturu, NIGERIA
  • Abdul Aziz B. M. Hameed Department of Mathematics & Statistics, Yobe State University, Damaturu, NIGERIA
  • Ahmed Audu Daya Department of Mathematics and Statistics, Faculty of Science, Yobe State University, Damaturu, NIGERIA






Background:Tuberculosis (TB) is a contagious bacterial infection caused by mycobacterium tuberculosis. It usually affects the lungs (pulmonary tuberculosis). It can also affect the central nervous system, the lymphatic system, the brain, spine and the kidneys.

Problem: Only peoples who have pulmonary TB infectious.one third of the world population is currently infected with the TB bacillus and new infectious are occurring at the rate of one per second.

Objectives: Tuberculosis was among the top ten causes of death worldwide in 2015 when 10.4 million peoples become ill from TB of which 1.8 million people died from TB. The disease is airborne and so its primary transmitted through the respiratory route.

Results:When people, who are infected with the disease cough, sneeze spit or talks, the propel TB germs in mucus droplets, known as bacilli, into the air.

Conclusion: A previously uninfected person need only a small number of these germs to be infected.


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Enagi, A. I (2013). A ‘’deterministic compartmental model of tuberculosis control strategy adopted by the national tuberculosis and leprosy control program in Nigeria.’’ Specific journal of science and technology.

Asamoah Cynthia Sekubia and Ebenezer Kofi Mensah. Analysis of Typhoid Fever Surveillance Data, Cape Coast Metropolis, 2016. Acta Scientific Medical Sciences. Volume 3 Issue 2 February 2019. PP.

Annual Report on Typhoid Fever, World Health Organization (WHO), 2017.

. Transmission dynamics Adebisi A. F, Peter O. J , Ayoola T. A, Oguntolu F. A, Ishola C. Y. Approximate Solution of Typhoid Fever Model by Variational Iteration Method. ATBU, Journal of Science, Technology & Education (JOSTE); Vol. 6 (3), September 2018, PP.254-265.

Moffat Cuchi Nyaboe, Mose Ong’au Fred and Johana Kibet Sigey. Modeling the Endemic Equilibrium of Typhoid Fever. The SIJ Transactions on Computer Science Engineering & its Applications (CSEA), Vol. 5, No. 5, November 2017. PP.104-111.

World Health Organization (WHO), https://en.wikipedia.org/wiki/Paratyphoid fever. 2017.

Gerald Gwinji. Guidelines for the management of typhoid fever. World Health Organization (WHO). July 2011. PP.1-39.

Agresti, A. (2002). Categorical data analysis: New York: John Wiley and Sons.

David W. Hosmer, Jr., Stanley Lemeshow, Rodney X. Sturdivant, Applied logistic regression (3rd edition.)March 2013. New York: Wiley ISBN: 978-0-470-58247-3.

Menard, S. (1995). Applied logistic regression analysis (Sage University Paper Series on Quantitative Applications in the Social Sciences,07–106). Thousand Oaks, CA: Sage.

Press, S. J., & Wilson, S. (1978). Choosing between logistic regression and discriminant analysis. Journal of the American Statistical Association, 73, 699–705.

Barron, l.H. (2014) can stress cause disease? Revisiting tuberculosis research oh Thomas holmes. Ann intern med: volume 124 ISSN 1949 – 1961, PP 673 – 680.

Vimalkumar V K, C.R. Anand Moses, Padmanaban S. Prevalence and Risk Factors of Nephropathy in Type 2 Diabetic Patients International Journal of Collaborative Research on Internal Medicine and Public Health, 2011 - Vol. 3 No. 8.

Maurya V.N., Singh V.V. and Yusuf Madaki Umar, Statistical analysis on the rate of kidney (renal) failure, American Journal of Applied Mathematics and Statistics, Special Issue: Application and Future Scope of Fundamental Mathematical and Computational Sciences in Engineering and Technology, Science & Education Publishing, USA, Vol. 2, No. 6A, pp. 6-12, 2014.

Menard, S. (2000). Coefficients of determination for multiple logistic regression analysis. The American Statistician, 54(1), 17–24.

Steady Mushayabasa, Claver P. Bhunu and Ngoni A. Mhlanga. Modeling the Transmission Dynamics of Typhoid in Malaria Endemic Settings. Applications and Applied Mathematics: An International Journal, Vol.9, Issue 1(June 2014), pp.121-140.




How to Cite

Madaki, U. Y., B. M. Hameed, A. A. . ., & Daya, A. A. . (2021). Optimal Solution of Mathematical and Statistical Modelling for The Study of Spread, Transmission and Control of Tuberculosis (TB) in Damaturu, Nguru and Potiskum Major Cities of Yobe State. ASEANA Science and Education Journal, 1(2), 15-33. https://doi.org/10.53797/aseana.v1i2.2.2021