MODELING THE DYNAMICS OF DIPHTHERIA WITH PUBLIC AWARENESS

Authors

  • Abbas Abubakar
    Jigawa State Polytechnic Dutse
  • Aliyu Ahmad
    Federal University Dutse
  • Sani Musa
    Sule Lamido University
  • Ya,u U. Ahmad
    Federal University Dutse
  • Aliyu Abba
    Jigawa State Polytechnic Dutse
  • Lawan Abdullahi
    Sule Lamido University
  • Jibrin Y. Musa
    Binyaminu Usman Polytechnic, Hadejia
  • Wakili Abubakar
    Jigawa State College of Remedial and Advanced Studies

Keywords:

Diphtheria, Awareness, Isolation, Reproduction number, Stability Analysis

Abstract

Diphtheria is a highly contagious bacterial infection that primarily affects the mucous membranes  of the nose, throat, and airways. It is caused by the bacterium Corynebacterium diphtheriae, which produces a toxin that damages the respiratory system, heart, and nervous system. Despite  the existence of effective vaccines, diphtheria continues to pose a threat to global health. In this paper, we developed a nonlinear deterministic model which incorporates public awareness and  isolation to describe the dynamics of diphtheria. Analysis of the model reveals that the boundedness and positivity of solutions have been ascertained, diphtheria free equilibrium is both locally and globally asymptotically stable whenever the associated control reproduction number Rc < 1 and unstable when Rc > 1, similarly the endemic equilibrium is globally asymptotically stable when the control reproduction Rc > 1 and ϕ = τ = δ1 = δ2 = 0. Moreover, the model undergoes backward bifurcation in which a stable disease-free equilibrium coexists with a stable endemic equilibrium. The epidemiological implication of backward bifurcation is Rc < 1 is necessary but not sufficient condition for control of diphtheria even when the classical requirement are satisfied. The most  sensitive parameters for the control of the spread of diphtheria are identified by forward sensitivity index method and found that contact rate β and progression rate of exposed individuals to infected compartment are the most sensitive parameters for increasing the transmission. On the contrary, isolation rate τ and recovery rate of infected individuals γ1 are the most sensitive for reducing the spread... 

Dimensions

Abubakar, A., Ahmad, A., Musa, S., Ahmad, Y.U., & Abubakar, U. (2025). Assessing the impact of booster vaccine and isolation on the transmission dynamic of pertussis.Fudma journal of sciences, 9(8), 392-405

Andrawus, J., Omotoso, K. I., Andrew, A. A., Eguda, F. Y., Babuba, S., & Ibrahim, K. G. (2025). Mathematical model analysis on the significance of surveillance and awareness on the transmission dynamics of diphtheria. Journal of the Nigerian Society of Physical Sciences, 2618-2618. Andrawus, J.,

Abubakar, A., Yusuf, A., Andrew, A. A., Uzun, B., & Salahshour, S. (2024). Impact of public awareness on haemo-lyphatic and meningo-encepphalitic stage of sleeping sickness using mathematical model approach. The European Physical Journal Special Topics, 1-19.

Castillo-Chavez, C., & Song, B. (2004). Dynamical models of tuberculosis and their applications Math. Biosci. Eng, 1(2), 361-404. Egbune, N. J.,

Akponana, E. B., Arierhie, E. O., & Okedoye, A. M. (2024). Mathematical analysis of spread and control of diphtheria with emphasis on diphtheria antitoxin efficiency. European Journal of Theoretical and Applied Sciences, 2(3), 152-172.

Elsinga, J., van Meijeren, D., & Reubsaet, F. (2023). Surveillance of diphtheria in the Netherlands between 2000–2021: cutaneous diphtheria supersedes the respiratory form. MC Infectious Diseases, 23(1), 1-9.

Ibrahim, K. G., Andrawus, J., Abubakar, A., Yusuf, A., Maiwa, S. I., Bitrus, K., ... & Jonathan, J. (2025). Mathematical analysis of chickenpox population dynamics unveiling the impact of booster in enhancing recovery of infected individuals. Modeling Earth Systems and Environment, 11(1), 46.

Izzati, N., Yannuansa, N., Ummah, I., Wati, D. A. R., Indahwati, E., Purwasih, S. M., & Kholis, N. (2024). Dynamical analysis of a mathematical model on the spread of diphtheria disease with for decreasing are τ and γ1 respectively. Journal Focus Action of Research Mathematic (Factor M), 7(2), 206-223.

Johnson, O. S., Edogbanya, H. O., Wakili, A., & John, A. T. (2024). Diphtheria disease transmission dynamics in low vaccine coverage setting. International Journal of Mathematical Sciences and Optimization: Theory and Applications, 10(2), 79-106

Lasalle, J.P. (1976). The stability of dynamical systems. Regional conference series in applied mathematics, SIAM, Philadelphia.

Musa, S., Usaini, S., Ahmed, I., Kiataramkul, C., & Tariboon, J. (2025). Dynamics of the Diphtheria Epidemic in Nigeria: Insights from the Kano State Outbreak Data. Mathematics, 13(7), 1189. https://doi.org/10.3390/math13071189

Pembroke, B., Will, R. C., Madhav, A., Shetty, V., & Mutreja, A. (2023). Diphtheria and the AB Toxin Group.

Sahib, I., Bettioui, B., Baroudi, M., Khajji, B., Faouzi, L., Alia, M., ... & Belam, M. (2024). Modeling and predicting the spread of diphtheria in guinea using delayed stochastic differential equations.Commun. Math. Biol. Neurosci., 2024, Article-ID.

Traugott, M.T., Pleininger, S., Inschlag-Tisch, S., Eder, B., Seitz, T., Merrelaar, A., Reiß-Kornfehl, J., Fussi, J., Schindler, S., Blaschitz, M. and Heger, F., (2023). A case of fulminant respiratory diphtheria in a 24-year-old Afghan refugee in Austria in May 2022: a case report. Infection, 51(2), pp.489-495.

World Health Organization, Vaccine-preventable disease update: (2023). reported diphtheria cases in the WHO European Region, 2022: 19 January 2022 (No. WHO/EURO: 2023-6208-45973-68002).

World Health Organization. Regional Office for Europe. World Health Organization (2024)

Bar chart graph showing the elasticity indices versus parameters

Published

22-10-2025

How to Cite

Abubakar, A., Ahmad, A., Musa, S., Ahmad, Y. U., Abba, A., Abdullahi, L., Musa, J. Y., & Abubakar, W. (2025). MODELING THE DYNAMICS OF DIPHTHERIA WITH PUBLIC AWARENESS. FUDMA JOURNAL OF SCIENCES, 9(11), 55-68. https://doi.org/10.33003/fjs-2025-0911-3966

How to Cite

Abubakar, A., Ahmad, A., Musa, S., Ahmad, Y. U., Abba, A., Abdullahi, L., Musa, J. Y., & Abubakar, W. (2025). MODELING THE DYNAMICS OF DIPHTHERIA WITH PUBLIC AWARENESS. FUDMA JOURNAL OF SCIENCES, 9(11), 55-68. https://doi.org/10.33003/fjs-2025-0911-3966

Most read articles by the same author(s)