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Year 2025, Volume: 15 Issue: 2, 112 - 147, 31.12.2025
https://doi.org/10.17678/beuscitech.1653495

Abstract

References

  • D. Safronetz et al., "Detection of Lassa virus, Mali," Emerg. Infect. Dis., vol. 16, no. 7, pp. 1123–1126, Jul. 2010, doi: 10.3201/eid1607.100146.
  • M. Akinade and A. Afolabi, "Mathematical modeling and stability analyses of Lassa fever disease with the introduction of the carrier compartment," Math. Theory Model., vol. 9, no. 6, pp. 45–62, 2019, doi: 10.7176/MTM/9-6-04.
  • Centers for Disease Control and Prevention, "Lassa fever reports," 2021. [Online]. Available: https://www.cdc.gov/vhf/lassa/index.html.
  • Nigeria Centre for Disease Control, "Lassa fever: Situation report," 2023. [Online]. Available: https://ncdc.gov.ng/diseases/info/L.
  • J. B. McCormick et al., "A case-control study of the clinical diagnosis and course of Lassa fever," J. Infect. Dis., vol. 155, no. 3, pp. 445–455, Mar. 1987, doi: 10.1093/infdis/155.3.445.
  • ProMed International Society for Infectious Diseases, "Lassa fever – West Africa (43): Liberia," Dec. 07, 2019. [Online]. Available: https://promedmail.org/promed-post/?id=20191207.6828798.
  • ProMed International Society for Infectious Diseases, "Lassa fever – Nigeria, Liberia," Mar. 28, 2014. [Online]. Available: https://promedmail.org/promed-post/?id=20140328.2363217.
  • ProMed International Society for Infectious Diseases, "Lassa fever – West Africa (04), Liberia," Feb. 09, 2017. [Online]. Available: https://promedmail.org/promed-post/?id=20170209.4827934.
  • World Health Organization, "Disease outbreak news and reports (Lassa fever)," Feb. 20, 2020. [Online]. Available: https://www.who.int/csr/don/20-february-2020-lassa-fever-nigeria/en/.
  • Centers for Disease Control and Prevention, "Lassa fever transmission," 2021. [Online]. Available: https://www.cdc.gov/vhf/lassa/transmission/index.html.
  • I. S. Onah and O. C. Collins, "Dynamical system analysis of a Lassa fever model with varying socio-economic classes," J. Appl. Math., vol. 2020, pp. 1–12, 2020.
  • O. J. Peter et al., "Modelling and optimal control analysis of Lassa fever disease," Inform. Med. Unlocked, vol. 20, Art. no. 100419, 2020.
  • A. C. Loyinmi, "Stability and optimal measures analysis on the transmission dynamics of Tuberculosis by means of fractional order," Covenant J. Phys. Life Sci., vol. 13, no. 2, pp. 1–14, 2025.
  • N. Masseran and M. A. M. Safari, "Modeling the transition behaviors of PM10 pollution index," Environ. Monit. Assess., vol. 192, Art. no. 441, 2020.
  • F. Caleyo, J. C. Velázquez, A. Valor, and J. M. Hallen, "Markov chain modelling of pitting corrosion in underground pipelines," Corros. Sci., vol. 51, no. 9, pp. 2197–2207, 2009.
  • P. Polcz, B. Csutak, and G. Szederkényi, "Reconstruction of epidemiological data in Hungary using stochastic model predictive control," Appl. Sci., vol. 12, Art. no. 1113, 2022.
  • M. Koniorczyk et al., "Stochastic energy-demand analyses with random input parameters for the single-family house," Build. Simul., vol. 15, pp. 357–371, 2022.
  • M. Schweizer, "Editorial: 25th anniversary of Finance and Stochastics," Financ. Stoch., vol. 26, pp. 1–3, 2022.
  • E. A. Bakare et al., "Mathematical modelling and analysis of transmission dynamics of Lassa fever," J. Appl. Math., vol. 2020, Art. no. 6131708, 2020.
  • O. C. Collins and J. E. Okeke, "Analysis and control measures for Lassa fever model under socio-economic conditions," in Int. Conf. Recent Trends Appl. Res. (J. Phys.: Conf. Ser.), Bristol, UK: IOP Publishing, 2021.
  • O. J. Peter et al., "Analysis and dynamics of fractional order mathematical model of covid-19 in nigeria using atangana-baleanu operator," Comput. Mater. Continua, vol. 66, no. 2, pp. 1823–1848, 2021.
  • H. Gündoǧdu and H. Joshi, "Numerical Analysis of Time-Fractional Cancer Models with Different Types of Net Killing Rate," Mathematics, vol. 13, no. 3, Art. no. 536, 2025, doi: 10.3390/math13030536.
  • M. A. A. Oud et al., "A fractional order mathematical model for covid-19 dynamics with quarantine, isolation, and environmental viral load," Adv. Difference Equ., vol. 2021, pp. 1–19, 2021.
  • M. Yavuz, M. ur Rahman, M. Yildiz, and H. Joshi, "Mathematical Modeling of Middle East Respiratory Syndrome Coronavirus with Bifurcation Analysis," Contemp. Math., vol. 5, no. 3, pp. 3997–4012, 2024. [Online]. Available: https://ojs.wiserpub.com/index.php/CM/article/view/5004.
  • I. A. Baba and B. A. Nasidi, "Fractional order epidemic model for the dynamics of novel covid-19," Alex. Eng. J., vol. 60, no. 1, pp. 537–548, 2021.
  • A. C. Loyinmi, S. O. Gbodogbe, and K. O. Idowu, "On the interaction of the human immune system with foreign body: mathematical modeling approach," Kathmandu Univ. J. Sci. Eng. Technol., vol. 17, no. 2, pp. 1–17, 2023.
  • A. C. Loyinmi and A. L. Ijaola, "Fractional order modeling of prophylactic measures on the transmission dynamics of Measles: An optimal analysis approach," Partial Differ. Equ. Appl. Math., vol. 15, pp. 1–12, 2025, doi: 10.1016/j.padiff.2025.101259.
  • A. C. Loyinmi and A. L. Ijaola, "Fractional order model of dynamical behavior and qualitative analysis of Anthrax with infected vector and saturation," Int. J. Math. Anal. Model., vol. 7, no. 2, pp. 224–264, 2024.
  • A. C. Loyinmi, "A fractional-order model for Zika virus transmission dynamics: analysis, control strategies, and simulation insights," FNAS J. Sci. Innov., vol. 6, no. 1, pp. 84–108, 2024.
  • A. C. Loyinmi and A. L. Ijaola, "Investigating the effects of some controls measures on the dynamics of Diphtheria infection using fractional order model," Math. Comput. Sci., vol. 5, no. 4, pp. 26–47, 2024.
  • A. C. Loyinmi, "Modeling and comprehensive strategic intervention analysis for Hepatitis A and E infections: A paradigm shift in public health dynamics," Bitlis Eren Univ. J. Sci. Technol., vol. 15, no. 1, pp. 1–36, 2025, doi: 10.17678/beuscitech.1573256.
  • S.-W. Yao et al., "Fractional order covid-19 model with transmission rout infected through environment," AIMS Math., vol. 7, no. 3, pp. 5156–5174, 2022.
  • H. Joshi, "Mechanistic insights of COVID-19 dynamics by considering the influence of neurodegeneration and memory trace," Phys. Scr., vol. 99, no. 3, Art. no. 035254, 2024, doi: 10.1088/1402-4896/ad2ad0.
  • A. Omame and F. D. Zaman, "Analytic solution of a fractional order mathematical model for tumour with polyclonality and cell mutation," Partial Differ. Equ. Appl. Math., vol. 8, Art. no. 100545, 2023.
  • A. Omame, M. Abbas, and C. P. Onyenegecha, "Backward bifurcation and optimal control in a co-infection model for SARS-CoV-2 and ZIKV," Results Phys., vol. 37, Art. no. 105481, 2022.
  • A. Omame, A. A. Raezah, U. H. Diala, and C. Onuoha, "The optimal strategies to be adopted in controlling the co-circulation of COVID-19, dengue and HIV: Insight from a mathematical model," Axioms, vol. 12, no. 8, p. 773, 2023.
  • A. O. Atede, A. Omame, and S. C. Inyama, "A fractional order vaccination model for COVID-19 incorporating environmental transmission: a case study using Nigerian data," Bull. Biomath., vol. 1, no. 1, pp. 78–110, 2023.
  • H. Joshi and B. K. Jha, "Fractional reaction diffusion model for parkinson’s disease," in Proc. Int. Conf. ISMAC Comput. Vision Bio-Eng. (ISMAC-CVB), 2019, pp. 1739–1748.
  • R. Chinnathambi, F. A. Rihan, and H. J. Alsakaji, "A fractional-order model with time delay for tuberculosis with endogenous reactivation and exogenous re infections," Math. Methods Appl. Sci., vol. 44, no. 10, pp. 8011–8025, 2021.
  • L. A. Chris, A. A. Shukurat, and A. L. Ijaola, "Analysis of the effect of vaccination, efficient surveillance and treatment on the transmission dynamics of cholera," Al-Bahir J. Eng. Pure Sci., vol. 5, pp. 94–107, 2024.
  • M. Caputo and M. D. Fabrizio, "A new definition of fractional derivative without singular kernel," Progr. Fract. Differ. Appl., vol. 1, no. 2, pp. 1–13, 2015.
  • J. Losada and J. Nieto, "Properties of a new fractional derivative without singular kernel," Progr. Fract. Differ. Appl., vol. 1, no. 2, pp. 87–92, 2015.
  • A. C. Loyinmi and S. O. Gbodogbe, "Mathematical modeling and control strategies for Nipah virus transmission incorporating Bat–to–pig–to–human pathway," EDUCATUM J. Sci. Math. Technol., vol. 11, no. 1, pp. 54–80, 2024.
  • B. K. Jha and H. Joshi, "A fractional mathematical model to study the effect of buffer and endoplasmic reticulum on cytosolic calcium concentration in nerve cells," in Fractional Calculus in Medical and Health Science. CRC Press, 2020, pp. 211–227.
  • S. O. Gbodogbe, "Harmonizing epidemic dynamics: A fractional calculus approach to optimal control strategies for cholera transmission," Sci. Afr., vol. 27, Art. no. e02545, 2025.
  • A. C. Loyinmi and S. O. Gbodogbe, "Epidemiological viability and control of rotavirus: A mathematical modelling approach," FNAS J. Sci. Innov., vol. 6, no. 2, pp. 18–43, 2025.
  • A. C. Loyinmi and A. I. Oredein, "The unsteady variable viscosity free convection flow on a porous plate," J. Niger. Assoc. Math. Phys., vol. 19, pp. 229–232, 2011.
  • A. C. Loyinmi, A. I. Oredein, and S. U. Prince, "Homotopy adomian decomposition method for solving linear and nonlinear partial differential equations," Tasued J. Pure Appl. Sci., vol. 1, pp. 254–260, 2018.

Modelling the Transmission Dynamics of Lassa Hemorrhagic Fever with Mitigating Measures Using Fractional Order Derivatives

Year 2025, Volume: 15 Issue: 2, 112 - 147, 31.12.2025
https://doi.org/10.17678/beuscitech.1653495

Abstract

This study proposes a fractional-order model, formulated in the sense of the Caputo fractional derivative, to investigate the transmission dynamics of Lassa hemorrhagic fever. A necessary qualitative analysis was conducted to assess the validity of the model. The fundamental number of reproduction (R0), was estimated using the next generation matrix approach and was found to be less than unity (1) through the stability analysis. The Jacobi and Lyapunov approach was utilized to construct the stability analysis at Infection free and Endemic Equilibrium respectively. The fractional order model is analyzed using a modified Adams-Bashforth estimator-corrector technique. Additionally, the numerical simulations were done to validate the effect of various parameters on the model as a whole. The graphical solutions indicate that the fractional order β, which is the saturation factor impact the dynamics of the model when varied. The results indicate that saturation of infectious individuals in the system helps flatten the infection transmission curve thereby achieving a disease free community in the long run.

Ethical Statement

The research work was conducted within the frame work of ethical rules.

References

  • D. Safronetz et al., "Detection of Lassa virus, Mali," Emerg. Infect. Dis., vol. 16, no. 7, pp. 1123–1126, Jul. 2010, doi: 10.3201/eid1607.100146.
  • M. Akinade and A. Afolabi, "Mathematical modeling and stability analyses of Lassa fever disease with the introduction of the carrier compartment," Math. Theory Model., vol. 9, no. 6, pp. 45–62, 2019, doi: 10.7176/MTM/9-6-04.
  • Centers for Disease Control and Prevention, "Lassa fever reports," 2021. [Online]. Available: https://www.cdc.gov/vhf/lassa/index.html.
  • Nigeria Centre for Disease Control, "Lassa fever: Situation report," 2023. [Online]. Available: https://ncdc.gov.ng/diseases/info/L.
  • J. B. McCormick et al., "A case-control study of the clinical diagnosis and course of Lassa fever," J. Infect. Dis., vol. 155, no. 3, pp. 445–455, Mar. 1987, doi: 10.1093/infdis/155.3.445.
  • ProMed International Society for Infectious Diseases, "Lassa fever – West Africa (43): Liberia," Dec. 07, 2019. [Online]. Available: https://promedmail.org/promed-post/?id=20191207.6828798.
  • ProMed International Society for Infectious Diseases, "Lassa fever – Nigeria, Liberia," Mar. 28, 2014. [Online]. Available: https://promedmail.org/promed-post/?id=20140328.2363217.
  • ProMed International Society for Infectious Diseases, "Lassa fever – West Africa (04), Liberia," Feb. 09, 2017. [Online]. Available: https://promedmail.org/promed-post/?id=20170209.4827934.
  • World Health Organization, "Disease outbreak news and reports (Lassa fever)," Feb. 20, 2020. [Online]. Available: https://www.who.int/csr/don/20-february-2020-lassa-fever-nigeria/en/.
  • Centers for Disease Control and Prevention, "Lassa fever transmission," 2021. [Online]. Available: https://www.cdc.gov/vhf/lassa/transmission/index.html.
  • I. S. Onah and O. C. Collins, "Dynamical system analysis of a Lassa fever model with varying socio-economic classes," J. Appl. Math., vol. 2020, pp. 1–12, 2020.
  • O. J. Peter et al., "Modelling and optimal control analysis of Lassa fever disease," Inform. Med. Unlocked, vol. 20, Art. no. 100419, 2020.
  • A. C. Loyinmi, "Stability and optimal measures analysis on the transmission dynamics of Tuberculosis by means of fractional order," Covenant J. Phys. Life Sci., vol. 13, no. 2, pp. 1–14, 2025.
  • N. Masseran and M. A. M. Safari, "Modeling the transition behaviors of PM10 pollution index," Environ. Monit. Assess., vol. 192, Art. no. 441, 2020.
  • F. Caleyo, J. C. Velázquez, A. Valor, and J. M. Hallen, "Markov chain modelling of pitting corrosion in underground pipelines," Corros. Sci., vol. 51, no. 9, pp. 2197–2207, 2009.
  • P. Polcz, B. Csutak, and G. Szederkényi, "Reconstruction of epidemiological data in Hungary using stochastic model predictive control," Appl. Sci., vol. 12, Art. no. 1113, 2022.
  • M. Koniorczyk et al., "Stochastic energy-demand analyses with random input parameters for the single-family house," Build. Simul., vol. 15, pp. 357–371, 2022.
  • M. Schweizer, "Editorial: 25th anniversary of Finance and Stochastics," Financ. Stoch., vol. 26, pp. 1–3, 2022.
  • E. A. Bakare et al., "Mathematical modelling and analysis of transmission dynamics of Lassa fever," J. Appl. Math., vol. 2020, Art. no. 6131708, 2020.
  • O. C. Collins and J. E. Okeke, "Analysis and control measures for Lassa fever model under socio-economic conditions," in Int. Conf. Recent Trends Appl. Res. (J. Phys.: Conf. Ser.), Bristol, UK: IOP Publishing, 2021.
  • O. J. Peter et al., "Analysis and dynamics of fractional order mathematical model of covid-19 in nigeria using atangana-baleanu operator," Comput. Mater. Continua, vol. 66, no. 2, pp. 1823–1848, 2021.
  • H. Gündoǧdu and H. Joshi, "Numerical Analysis of Time-Fractional Cancer Models with Different Types of Net Killing Rate," Mathematics, vol. 13, no. 3, Art. no. 536, 2025, doi: 10.3390/math13030536.
  • M. A. A. Oud et al., "A fractional order mathematical model for covid-19 dynamics with quarantine, isolation, and environmental viral load," Adv. Difference Equ., vol. 2021, pp. 1–19, 2021.
  • M. Yavuz, M. ur Rahman, M. Yildiz, and H. Joshi, "Mathematical Modeling of Middle East Respiratory Syndrome Coronavirus with Bifurcation Analysis," Contemp. Math., vol. 5, no. 3, pp. 3997–4012, 2024. [Online]. Available: https://ojs.wiserpub.com/index.php/CM/article/view/5004.
  • I. A. Baba and B. A. Nasidi, "Fractional order epidemic model for the dynamics of novel covid-19," Alex. Eng. J., vol. 60, no. 1, pp. 537–548, 2021.
  • A. C. Loyinmi, S. O. Gbodogbe, and K. O. Idowu, "On the interaction of the human immune system with foreign body: mathematical modeling approach," Kathmandu Univ. J. Sci. Eng. Technol., vol. 17, no. 2, pp. 1–17, 2023.
  • A. C. Loyinmi and A. L. Ijaola, "Fractional order modeling of prophylactic measures on the transmission dynamics of Measles: An optimal analysis approach," Partial Differ. Equ. Appl. Math., vol. 15, pp. 1–12, 2025, doi: 10.1016/j.padiff.2025.101259.
  • A. C. Loyinmi and A. L. Ijaola, "Fractional order model of dynamical behavior and qualitative analysis of Anthrax with infected vector and saturation," Int. J. Math. Anal. Model., vol. 7, no. 2, pp. 224–264, 2024.
  • A. C. Loyinmi, "A fractional-order model for Zika virus transmission dynamics: analysis, control strategies, and simulation insights," FNAS J. Sci. Innov., vol. 6, no. 1, pp. 84–108, 2024.
  • A. C. Loyinmi and A. L. Ijaola, "Investigating the effects of some controls measures on the dynamics of Diphtheria infection using fractional order model," Math. Comput. Sci., vol. 5, no. 4, pp. 26–47, 2024.
  • A. C. Loyinmi, "Modeling and comprehensive strategic intervention analysis for Hepatitis A and E infections: A paradigm shift in public health dynamics," Bitlis Eren Univ. J. Sci. Technol., vol. 15, no. 1, pp. 1–36, 2025, doi: 10.17678/beuscitech.1573256.
  • S.-W. Yao et al., "Fractional order covid-19 model with transmission rout infected through environment," AIMS Math., vol. 7, no. 3, pp. 5156–5174, 2022.
  • H. Joshi, "Mechanistic insights of COVID-19 dynamics by considering the influence of neurodegeneration and memory trace," Phys. Scr., vol. 99, no. 3, Art. no. 035254, 2024, doi: 10.1088/1402-4896/ad2ad0.
  • A. Omame and F. D. Zaman, "Analytic solution of a fractional order mathematical model for tumour with polyclonality and cell mutation," Partial Differ. Equ. Appl. Math., vol. 8, Art. no. 100545, 2023.
  • A. Omame, M. Abbas, and C. P. Onyenegecha, "Backward bifurcation and optimal control in a co-infection model for SARS-CoV-2 and ZIKV," Results Phys., vol. 37, Art. no. 105481, 2022.
  • A. Omame, A. A. Raezah, U. H. Diala, and C. Onuoha, "The optimal strategies to be adopted in controlling the co-circulation of COVID-19, dengue and HIV: Insight from a mathematical model," Axioms, vol. 12, no. 8, p. 773, 2023.
  • A. O. Atede, A. Omame, and S. C. Inyama, "A fractional order vaccination model for COVID-19 incorporating environmental transmission: a case study using Nigerian data," Bull. Biomath., vol. 1, no. 1, pp. 78–110, 2023.
  • H. Joshi and B. K. Jha, "Fractional reaction diffusion model for parkinson’s disease," in Proc. Int. Conf. ISMAC Comput. Vision Bio-Eng. (ISMAC-CVB), 2019, pp. 1739–1748.
  • R. Chinnathambi, F. A. Rihan, and H. J. Alsakaji, "A fractional-order model with time delay for tuberculosis with endogenous reactivation and exogenous re infections," Math. Methods Appl. Sci., vol. 44, no. 10, pp. 8011–8025, 2021.
  • L. A. Chris, A. A. Shukurat, and A. L. Ijaola, "Analysis of the effect of vaccination, efficient surveillance and treatment on the transmission dynamics of cholera," Al-Bahir J. Eng. Pure Sci., vol. 5, pp. 94–107, 2024.
  • M. Caputo and M. D. Fabrizio, "A new definition of fractional derivative without singular kernel," Progr. Fract. Differ. Appl., vol. 1, no. 2, pp. 1–13, 2015.
  • J. Losada and J. Nieto, "Properties of a new fractional derivative without singular kernel," Progr. Fract. Differ. Appl., vol. 1, no. 2, pp. 87–92, 2015.
  • A. C. Loyinmi and S. O. Gbodogbe, "Mathematical modeling and control strategies for Nipah virus transmission incorporating Bat–to–pig–to–human pathway," EDUCATUM J. Sci. Math. Technol., vol. 11, no. 1, pp. 54–80, 2024.
  • B. K. Jha and H. Joshi, "A fractional mathematical model to study the effect of buffer and endoplasmic reticulum on cytosolic calcium concentration in nerve cells," in Fractional Calculus in Medical and Health Science. CRC Press, 2020, pp. 211–227.
  • S. O. Gbodogbe, "Harmonizing epidemic dynamics: A fractional calculus approach to optimal control strategies for cholera transmission," Sci. Afr., vol. 27, Art. no. e02545, 2025.
  • A. C. Loyinmi and S. O. Gbodogbe, "Epidemiological viability and control of rotavirus: A mathematical modelling approach," FNAS J. Sci. Innov., vol. 6, no. 2, pp. 18–43, 2025.
  • A. C. Loyinmi and A. I. Oredein, "The unsteady variable viscosity free convection flow on a porous plate," J. Niger. Assoc. Math. Phys., vol. 19, pp. 229–232, 2011.
  • A. C. Loyinmi, A. I. Oredein, and S. U. Prince, "Homotopy adomian decomposition method for solving linear and nonlinear partial differential equations," Tasued J. Pure Appl. Sci., vol. 1, pp. 254–260, 2018.
There are 48 citations in total.

Details

Primary Language English
Subjects Biological Mathematics
Journal Section Research Article
Authors

Adedapo Chris Loyinmi 0000-0002-6171-4256

Emmanuel Adeleke 0000-0002-8853-1978

Ijaola Alani Lateef 0009-0004-2084-1277

Olowofeso Elizabeth Oluwatoyin 0009-0006-3590-8766

Submission Date March 8, 2025
Acceptance Date December 8, 2025
Publication Date December 31, 2025
Published in Issue Year 2025 Volume: 15 Issue: 2

Cite

IEEE A. C. Loyinmi, E. Adeleke, I. Alani Lateef, and O. Elizabeth Oluwatoyin, “Modelling the Transmission Dynamics of Lassa Hemorrhagic Fever with Mitigating Measures Using Fractional Order Derivatives”, Bitlis Eren University Journal of Science and Technology, vol. 15, no. 2, pp. 112–147, 2025, doi: 10.17678/beuscitech.1653495.