Mathematical Modeling of Influenza Transmission Dynamics with Immigration and Control Strategy

Authors

Ibrahim Danbaba ORCID icon for Ibrahim Danbaba

School of Secondary Education (Science), Aminu Saleh College of Education, Azare, Bauchi State (Nigeria)

Abdu Ibrahim

School of Secondary Education (Science), Aminu Saleh College of Education, Azare, Bauchi State (Nigeria)

Babangida Alkali

School of Secondary Education (Science), Aminu Saleh College of Education, Azare, Bauchi State (Nigeria)

Ibrahim Isah Adamu

Department of Mathematics, School of Physical Sciences, Modobbo Adama University Yola Adamawa State (Nigeria)

Article Information

DOI: 10.47772/IJRISS.2026.100800569

Subject Category: Mathematics

Volume/Issue: 10/8 | Page No: 8563-8571

Publication Timeline

Submitted: 2026-08-23

Accepted: 2026-08-28

Published: 2026-09-12

Abstract

This paper developed a mathematical model to investigate the transmission dynamics of influenza fever with vaccination and quarantine as control strategies. In developing our model, the population was compartmentalized into susceptible-vaccinated-exposed-infected-quarantine-recovered (SVEIQR) and allowed immigrations into susceptible and exposed compartment only. The model developed in a system of differential equations. Equilibrium points of the system and basic reproduction number were obtained, existence and uniqueness of the solution, invariant region, positivity of the solution was established and we also carryout local and global stability analysis of disease free equilibrium state. Linearization method was used for proving the local stability of equilibrium while Carlo Castillo-Chavez method was adopted for proving the global stability of the equilibrium points. Analytical solution shows that, the dynamics of spread of the influenza fever is determined by the basic reproduction number if < 1, the influenza free equilibrium is locally asymptotically stable or otherwise, if > 1. In this regard, Government and non-governmental organization of every country should encourage the use of influenza vaccine among individuals.

Keywords

Positivity, existence and uniqueness, invariant region, disease free equilibrium, endemic equilibrium, basic reproductive number, stability analysis.

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References

1. Castillo-Chavez, C., Zhilan F. & Wenzhan, H. (2002). On the computation of and its role in global stability. In: Mathematical approaches for emerging and re-emerging infectious diseases. An Introduction. Institute for Mathematics and its Applications, 125, 229-250. [Google Scholar] [Crossref]

2. Dalhatu, I.T., Medina-Marino, A., Olsen, S.J., Hwang, I., Gubio, A.B., EkaE.E., Coker, E.B.A., Akpan, H. and Adedeji A.Anem, (2012). Influenza Viruses in Nigeria, 2009–2010: Results From the First 17 Months of a Nationa influenza Sentinel Surveillance System;. The Journal of Infectious Diseases, 206(S1) :S121–8 ; DOI: 10.1093/infdis/jis584). [Google Scholar] [Crossref]

3. Diekmann, O. & Heesterbeek, J. P. (2000). Mathematical Epidemiology of Infectious Diseases Model Building; Analysis and Interpretation. Wiley Series in Mathematical and Computational Biology, 1, 23-24. [Google Scholar] [Crossref]

4. Kunisaki, K.M. & Janoff, E.N. (2009). influenza in immunosuppressed populations: a review of infection frequency, morbidity, mortality, and vaccine responses. Lancet infectdis. Lancet infectdis, 9(8), 493-504. [Google Scholar] [Crossref]

5. National Institute of Communicable Disease. (2018). Influenza N recommendations for the diagnosis, prevention, management and public health response. Nigeria week 1 - 52. Weekly Epedimiological Report, Surveillance Unit, Nigeria. [Google Scholar] [Crossref]

6. Public Health England. (2014). Phe guidance on use of antiviral agents for the treatment and prophylaxis of influenza (2014-15), Pp. 1-23.). [Google Scholar] [Crossref]

7. Tamura, S., Tanimoto, T. & Kurata, T. (2005). Mechanism of cross – protection provided by influenza virus infection and their application to vaccines. . Japanese journal of infectious diseases, 58(4), 195 – 207. [Google Scholar] [Crossref]

8. Tan, X., Yuan, L., Zhouu, J., Zeheng, Y. & Yang, F. (2013). Modelling the transmissiondy namics of influenza a h1n1 in gungdon province,china. international journal of infectious diseases,, volume 17, 479-484. [Google Scholar] [Crossref]

9. Webster, R.G., Bean, W.J., Gorman, O.T. & Chambers, T.M. (1992). Evolution and ecology of influenza A viruses. Microbiol Rev, volume 56, 79-152. [Google Scholar] [Crossref]

10. Workd Health Organization. (2019). Influenza transmission zones; influenza update for 2weeks. Weekly Epedimiological Record , National Influenza Centres (NICs) and other national influenza laboratories. [Google Scholar] [Crossref]

11. World Health Organization. (2009). Clinical management of human infection with pandemic (H1N1) 2009: revised guidance. [Google Scholar] [Crossref]

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