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International Journal of Research and Innovation in Applied Science (IJRIAS)

Modeling Reinfection and Behavioral Awareness in Lassa Fever Dynamics

byI. C. Eli; Jephter J. Dika

Published January 2, 2026  •  Vol. 10, Issue 12, pp. 138–142Open Access
DOI: 10.51584/IJRIAS.2025.10120011

Abstract

This study extends the Lassa fever model developed by Eli and Abanum (2022) by incorporating reinfection and awareness driven behavioral changes. The modified model divides the human population into susceptible, infected, recovered and aware compartments to account for partial immunity and behavioral adaptation. Analytical expressions for the basic reproduction number (R0) are derived using the next generation matrix approach. Stability analysis of the disease-free equilibrium and sensitivity of R0 to key parameters are performed. Results show that awareness reduces the effective contact rate, thereby lowering R0, while reinfection increases the potential for disease persistence. Numerical simulations confirm that increasing public awareness and reducing reinfection significantly enhance disease control and stability.

Keywords: Lassa fever, Reinfection, Awareness, Stability analysis, Mathematical modeling

JournalInternational Journal of Research and Innovation in Applied Science (IJRIAS)
ISSN2454-6194
Volume / IssueVolume 10, Issue 12
Pages138–142
Publication dateJanuary 2, 2026
DOI10.51584/IJRIAS.2025.10120011
PublisherRSIS International
LicenseOpen Access

How to cite this article

I. C. Eli, & Jephter J. Dika (2026). Modeling Reinfection and Behavioral Awareness in Lassa Fever Dynamics. International Journal of Research and Innovation in Applied Science (IJRIAS), 10(12), 138-142. https://doi.org/10.51584/IJRIAS.2025.10120011

BibTeX

@article{I2026,
  title   = {Modeling Reinfection and Behavioral Awareness in Lassa Fever Dynamics},
  author  = {I. C. Eli and Jephter J. Dika},
  journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
  volume  = {10},
  number  = {12},
  pages   = {138--142},
  year    = {2026},
  doi     = {10.51584/IJRIAS.2025.10120011},
  publisher = {RSIS International}
}