Skip to main content

Advertisement

Log in

The effect of treatment compliance on the dynamics and control of Lassa fever: an insight from mathematical modeling

  • Published:
SeMA Journal Aims and scope Submit manuscript

Abstract

Lassa fever is a zoonotic viral illness that is endemic in West Africa. The disease has been a subject of intensive research in the mathematics and non-mathematics fields after the first case was confirmed in Nigeria in 1969. Treatment is inevitable after the full incubation of a disease but there may not be a total compliance to treatment guidelines due to factors like poverty and ignorance especially in poor communities. These factors can seriously affect the dynamics of Lassa fever but have not been paid attentions to in the literature. Based on this, a stage of infection when the disease has been fully incubated is considered and a new mathematical model is designed to examine the effect of treatment compliance on the dynamics and control of Lassa fever. The model validity was examined and established using ample mathematics theorems. The equilibria and a threshold for disease eradication were derived. The stability was analyzed and the necessary and sufficient conditions for the equilibria of the model to be stable both locally and globally were derived. Further, sensitivity analysis was carried out to investigate the relative contributions of various parameters to Lassa fever spread and management. Numerical simulation was later conducted via a logical parameter values from the literature to visualize the effect of parameters perturbations on the dynamics of the disease. Results from the study revealed that Lassa fever eradication is a function of total compliance to treatment procedures.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

No data associated in the manuscript.

References

  1. Abdulhami, A., Hussaini, N.: Effects of quarantine on transmission dynamics of Lassa fever. Bayero J. Pure Appl. Sci. 11(2), 397–407 (2018)

    Google Scholar 

  2. Abdullahi, I.N., Anka, A.U., Ghamba, Peter Elisha, P. E., Onukegbe, N. B., Amadu, D. O., Salami, M. O.: Need for preventive and control measures for Lassa fever through the One Health strategic approach. Proc. Singap. Healthc. 29(3), 190–193 (2020). https://doi.org/10.1177/20101058209326

  3. Adewale, S.O., Olopade, I.A., Ajao, S.O., Adeniran, G.A., Oyedemi, O.T.: Mathematical analysis of Lassa fever model with isolation. Asian J. Nat. Appl. Sci. 5(3), 49–57 (2016)

    Google Scholar 

  4. Ajayi, N.A., Nwigwe, C.G., Azuogu, B.N., Onyire, B.N., Nwonwu, E.U., Ogbonnaya, L.U., Onwe, F.I., Ekaete, T., Gunther, S., Ukwaja, K.N.: Containing a Lassa fever epidemic in a resource-limited setting: outbreak description and lessons learned from Abakaliki, Nigeria (January - March 2012). Int. J. Infect. Dis. 17, 1011–1016 (2012)

    Article  Google Scholar 

  5. Ayoade, A.A., Nyerere, N., Ibrahim, M.O.: An epidemic model for control and possible elimination of Lassa fever. Tamkang J. Math. (2023). https://doi.org/10.5556/j.tkjm.55.2024.5031

    Article  Google Scholar 

  6. Akhmetzhanov, A.R., Asai, Y., Nishiura, H.: Quantifying the seasonal drivers of transmission for Lassa fever in Nigeria. Phil. Trans. R. Soc. B 374, 20180268 (2019)

    Article  Google Scholar 

  7. Akinpelu, F.O., Akinwande, R.: Mathematical model for Lassa fever and sensitivity analysis. J. Sci. Eng. Res. 5(6), 1–9 (2018)

    Google Scholar 

  8. Yunus, A.O., Olayiwola, M.O., Omoloye, M.A., Oladapo, A.O.: A fractional order model of Lassa disease using the Laplace-Adomian Decomposition Method. Healthc. Anal. 3, 100167 (2023)

    Article  Google Scholar 

  9. Branco, L.M., Grove, J.N., Geske, F.J.: Lassa virus-like particles displaying all major immuno-logical determinants as a vaccine candidate for Lassa hemorrhagic fever. Virol. J. 7, 279 (2019)

    Article  Google Scholar 

  10. Collins, O.C., Okeke, J.E.: Analysis and control measures for Lassa fever model under socio-economic conditions. J. Phys. Conf. Ser. 1734, 012049 (2021). https://doi.org/10.1088/1742-6596/1734/1/012049

    Article  Google Scholar 

  11. Tahmo, N.B., Wirsiy, F.S., Brett-Major, D.M.: Modeling the Lassa fever outbreak synchronously occurring with cholera and COVID- 19 outbreaks in Nigeria 2021: A threat to Global Health Security. PLOS Glob. Public Health 3(5), e0001814 (2023). https://doi.org/10.1371/journal.pgph.0001814

    Article  Google Scholar 

  12. Favour, A.O., Anya, O.A.: Mathematical model for Lassa fever transmission and control. Math. Comput. Sci. 5(6), 110–118 (2020)

    Article  Google Scholar 

  13. Iacono, G.L., Cunningham, A.A., Fichet-Calvet, E., Garry, R.F., Grant, D.S., Khan, S.H., Webb, C.T.: Using modeling to disentangle the relative contributions of zoonotic and anthroponotic transmission: the case of Lassa fever. PLoS Neglect. Trop. Dis. 9, e3398 (2015)

    Article  Google Scholar 

  14. Ibrahim, M.A., Denes, A.: A mathematical model for Lassa fever transmission dynamics in seasonal environment with a view to the 2017–20 epidemic in Nigeria. Nonlinear Anal. Real World Appl. 60, 103310 (2021)

    Article  MathSciNet  Google Scholar 

  15. Idisi, O.I., Yusuf, T.T.: A mathematical model for Lassa fever transmission dynamics with impacts of control measures: analysis and simulation. Eur. J. Math. Stat. 2(2), 19–28 (2021)

    Article  Google Scholar 

  16. Ilori, E.A., Furuse, Y., Ipadeola, O.B., Dan-Nwafor, C.C., Abubakar, A., Womi-Eteng, O.E., Ayodeji, O.: Epidemiologic and clinical features of Lassa fever outbreak in Nigeria, January 1-May 6, 2018. Emerg. Infect. Dis. 25, 1066–1074 (2018)

    Article  Google Scholar 

  17. Lukashevich, I.S.: The search for animal models for Lassa fever vaccine development. Expert Rev. Vaccines 12, 71–86 (2013)

    Article  Google Scholar 

  18. Lukashevich, I.S., Pushko, P.: Vaccine platforms to control Lassa fever. Expert Rev. Vaccines 15, 1135–1150 (2016)

    Article  Google Scholar 

  19. Marien, J., Borremans, B., Kourouma, J., Baforday, J., Rieger, T., Gunther, S., Magassouba, N., Leirs, H., FichetCalvet, E.: Evaluation of rodent control to fight Lassa fever based on field data and mathematical modelling. Emerg. Microb. Infect. 8, 640–649 (2019)

    Article  Google Scholar 

  20. Musa, S.S., Zhao, S., Gao, D., Lin, Q., Chowell, G., He, D.: Mechanistic modeling of the large-scale Lassa fever epidemics in Nigeria from 2016 to 2019. J. Theor. Biol. (2019). https://doi.org/10.1016/j.jtbi.2020.110209

    Article  Google Scholar 

  21. Nwasuka, S.C., Nwachukwu, I.E., Nwachukwu, P.C.: Mathematical model of the transmission dynamics of Lassa fever with separation of infected individual and treatment as control measures. J Adv. Math. Comput. Sci. 32(6), 1–15 (2019)

    Article  Google Scholar 

  22. Obabiyi, O.S., Onifade, A.A.: Mathematical model for Lassa fever transmission dynamics with variable human and reservoir population. Int. J. Differ. Equ. Appl. 16(1), 67–91 (2017)

    Google Scholar 

  23. Okoroiwu, H.U., Lopez-Munoz, F., Povedano-Montero, F.J.: Bibliometric analysis of global Lassa fever research (1970–2017): a 47-year study. BMC Infect. Dis. 18, 639–651 (2018)

    Article  Google Scholar 

  24. Onah, I.S., Collins, O.C., Madueme, P.G.U., Mbah, G.C.E.: Dynamical system analysis and Optimal control measures of Lassa fever disease model. Int. J. Math. Math. Sci. 2020, 7923125 (2020). https://doi.org/10.1155/2020/7923125

    Article  MathSciNet  Google Scholar 

  25. Onuorah, M.O., Akinwande, N.I., Nasir, M.O., Ojo, M.S.: Sensitivity analysis of Lassa fever model. Int. J. Math. Stat. Stud. 4(1), 30–49 (2016)

    Google Scholar 

  26. Roberts, L.: Nigeria hit by unprecedented Lassa fever outbreak. Science 359, 1201–1202 (2018)

    Article  Google Scholar 

  27. Sattler, R. A., SPaessler, S., Ly, H., Huang, C.: Animal models of Lassa fever. Pathogens 9, 197 (2020) https://doi.org/10.3390/pathogens9030197

  28. Usman, S., Adamu, I.I.: Modelling the transmission dynamics of Lassa fever infection. Math. Theory Modell. 8(15), 42–63 (2018)

    Google Scholar 

  29. Warner, B.M., Safronetz, D., Stein, D.R.: Current research for a vaccine against Lassa hemorrhagic fever virus. Drug Des. Dev. Therapy 12, 2519–2527 (2018)

    Article  Google Scholar 

  30. Zhao, S., Musa, S.S., Fu, H., He, D., Qin, J.: Large-scale Lassa fever outbreaks in Nigeria: quantifying the association between disease reproduction number and local rainfall. Epidemiol. Infect. 148, e4 (2020). https://doi.org/10.1017/S0950268819002267

    Article  Google Scholar 

  31. Birkhorff, G., Rota, G.C.: Ordinary Differential Equations. Needham Heights, Ginn, Boston (1982)

    Google Scholar 

  32. Diekmann, O., Heesterbeek, J.A.P., Metz, J.A.J.: On the definition and computation of the basic reproduction ratio in models for infectious diseases in heterogeneous populations. J. Math. Biol. 28, 365–382 (1990)

    Article  MathSciNet  Google Scholar 

  33. Driessche, P.V.D., Wathmough, J.: Reproduction number and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 180, 29–48 (2002)

    Article  MathSciNet  Google Scholar 

  34. Castillo-Chavez, C., Song, B.: Dynamical models of tuberculosis and their applications. Math. Biosci. Eng. 1, 361–404 (2004)

    Article  MathSciNet  Google Scholar 

  35. Lakshmikantham, V., Leela, S., Martynyuk, A.A.: Stability Analysis of Nonlinear Systems. Marcel Dekker Inc, New York and Bassel (1989)

    Google Scholar 

  36. Ayoade, A.A., Ibrahim, M.O.: Analysis of transmission dynamics and mitigation success of COVID-19 in Nigeria: An insight from a mathematical model. The Aligarh Bulletin of Mathematics 41(1), 81–106 (2022)

    MathSciNet  Google Scholar 

  37. Adenuga, J.I., Ajide, K.B., Odeleye, A.T., Ayoade, A.A.: Abundant natural resources, ethnic diversity and inclusive growth in sub-Saharan Africa: a mathematical approach. Appl. Appl. Math. Int. J. (AAM) 16(2), 1221–1247 (2021)

    MathSciNet  Google Scholar 

  38. Hugo, A., Simanjilo, E.: Analysis of an eco-epidemiological model under optimal control measures for infected prey. Appl. Appl. Math. Int. J. 14(1), 117–138 (2019)

    MathSciNet  Google Scholar 

  39. LaSalle, J.P.: Stability theory for ordinary differential equations. J. Differ. Equ. 4, 57–65 (1968)

    Article  MathSciNet  Google Scholar 

  40. LaSalle, J.P., Lefschetz, S.: Stability by Liapunov’s Direct Method with Applications. Academic Press, New York (1961)

    Google Scholar 

  41. Ayoade, A.A., Ibrahim, M.O.: Modeling the dynamics and control of rabies in dog population within and around Lagos, Nigeria. Eur. Phys. J. Plus 138, 397 (2023)

    Article  Google Scholar 

  42. Varrela, S.: Life expectancy at birth in Nigeria 2021, by genders. Available at https://www.statista.com/statistics/1122851/life-expectancy-in-nigeria-by-gender/ [Accessed 5 Feb 2021] (2021)

  43. Ojo, M.M., Gbadamosi, B., Benson, T.O., Adebimpe, O., Georgina, A.L.: Modeling the dynamics of Lassa fever in Nigeria. J. Egypt. Math. Soc. 29, 1–19 (2021)

    Article  MathSciNet  Google Scholar 

  44. Nigeria Centre for Disease Control (NCDC). (2018). Nigeria Centre for Disease Control Handbook, Accessed July 29, 2020 from http://www.ncdc.gov.ng (2020)

  45. Thota, S., Ayoade, A.A.: On dynamical analysis of prey-diseased predator model with refuge in prey. Appl. Math. Inf. Sci. 15(6), 717–721 (2021). https://doi.org/10.18576/amis/150605

    Article  MathSciNet  Google Scholar 

  46. Thota, S.: A three species ecological model with Holling Type-II functional response. Inf. Sci. Lett. 10(3), 439–444 (2021). https://doi.org/10.18576/isl/100307

    Article  MathSciNet  Google Scholar 

  47. Thota, S.: On an ecological model of mutualisim between two species with a mortal pVol. redator. Appl. Appl. Math. 15(2), 1309–1322 (2020)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abayomi Ayotunde Ayoade.

Ethics declarations

Confict of interest

The authors declare no conflict of interest.

Consent to Participate

Not applicable.

Consent for Publication

Not applicable.

Ethical approval

No ethics approval was required.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ayoade, A.A., Aliu, O. & Taiye, O. The effect of treatment compliance on the dynamics and control of Lassa fever: an insight from mathematical modeling. SeMA (2024). https://doi.org/10.1007/s40324-024-00353-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40324-024-00353-9

Keywords

Mathematics Subject Classification

Navigation