Mathematical Model of Transmission Dynamic of Ebola Virus Disease

Crossmark

Main Article Content


Abstract

This study investigates the impact of treatment and vaccination on the transmission dynamics of Ebola virus disease (EVD) within human populations, as well as the effects of environmental factors on vector populations. We formulated a system of ordinary differential equations (ODEs) to model these dynamics and applied the method of linearized stability analysis to solve the equations. The stability analysis revealed that the disease-free equilibrium (DFE) states of the models remain stable when certain parameters—specifically, the treatment rate in the human population and the recovery rate in the vector population—are appropriately adjusted. Numerical simulations demonstrated that achieving a disease-free equilibrium state requires simultaneous treatment and vaccination of the population. The findings highlight the necessity of integrated intervention strategies to effectively control EVD transmission, contributing valuable insights for public health policy and future research on infectious disease management.

Downloads

Download data is not yet available.

Citation Metrics & Similar Scopus Articles

Data source Crossref
0
citations
Citation counts are source-specific and may differ because database coverage, reference matching, and update schedules are different. Counts are not added together. Crossref values represent citation links registered and matched by Crossref.
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Toshov J.B. (2027)
    Mathematical Model of the Dynamics of the Armament of the Tricone Drill Bit
    Kompleksnoe Ispolzovanie Mineralnogo Syra, 342(3), 27-34
  2. Toshov J.B. (2027)
    Comparative Analysis of Mathematical Models of Drilling in Heterogeneous Geological Sections
    Kompleksnoe Ispolzovanie Mineralnogo Syra, 341(2), 60-70
  3. Najafi E. (2027)
    Analyzing the process of dynamic and tense discourse systems in the poem "katibeh" of Akhavan sales
    Language Related Research, 17(4), 263-291

Article Details

How to Cite
Yohanna, S., Adamu, M. M., Hina, A. D., O, O. J., & Jeremiah, A. (2025). Mathematical Model of Transmission Dynamic of Ebola Virus Disease. Journal of Multidisciplinary Science: MIKAILALSYS, 3(2), 747-764. https://doi.org/10.58578/mikailalsys.v3i2.5535

References

Agusto, F. B., Teboh-Ewungkem, M. I., & Gumel, A. B. (2015). Mathematical Assessment of the Effect of Traditional Beliefs and Customs on the Transmission Dynamics of the 2014 Ebola Outbreaks. BMC Medicine, 13(1), 1–17.

Ahman, Q. O., & Mbah, G. C. E. (2020a). Modelling Novel Coronavirus (COVID-19) with the Relevance of Strict Movement Restriction in Italy. Academic Journal of Statistics and Mathematics, 6(8), 1–15.

Ahman, Q. O., Omale, D., Asogwa, C. C., Nnaji, D. U., & Mbah, G. C. E. (2020). Transmission Dynamics of Ebola Virus Disease with Vaccine, Condom Use, Quarantine, Isolation, and Treatment Drug. African Journal of Infectious Diseases (AJID), 15(1), 10–23.

Ahman, Q. O., Omale, D., Atokolo, W., Nnaji, D. U., Ugwu, S. C., & Mbah, G. C. E. (2020). Application of Fractional Calculus to the Dynamics of Ebola Disease Combining Vaccine, Condom, Quarantine, Isolation, and Treatment Drugs as Measures. Academic Journal of Statistics and Mathematics, 6(11), 1–17.

Allthaus, C. L. (2014). Estimating the Reproduction Number of Ebola Virus (EBOV) During the 2014 Outbreak in West Africa. PLOS Currents Outbreaks, 1, 18–36.

Atokolo, W., Akpa, J., Daniel, M. A., Olayemi, K. S., & Mbah, G. C. E. (2020). Modelling the Impact of Optimal Control Strategies on the Dynamics of Zika Virus Disease Using the Sterile Insect Technology. Journal of Advances in Mathematics and Computer Sciences, 35(8), 13–33.

Bausch, D. G., Towner, J. S., Dowell, S. F., Kaducu, F., Lukwiya, M., Sanchez, A., & Rollin, P. E. (2007). Assessment of the Risk of Ebola Virus Transmission from Bodily Fluids and Vomits. The Journal of Infectious Diseases, 196(S2), S142–S147.

Bhunu, C. P. (2015). Assessing the Potential of Pre-Exposure Vaccination and Chemoprophylaxis in the Control of Lymphatic Filariasis. Applied Mathematics and Computation, 250, 571–579.

Bolarin, G., & Adeboye, K. R. (2011). On the Use of Delay Differential Equation in Modelling the Rate of HIV/AIDS Infection in Nigeria. The Journal of Mathematical Association of Nigeria (Abacus), 38(20), 76–86.

Castillo-Chavez, C., & Song, B. (2004). Dynamical Models of Tuberculosis and Their Applications. Mathematical Biosciences and Engineering, 1(2), 361–404.

CDC. (2015). Identify, Isolate, Inform: Emergency Department Evaluation and Management for Patients Under Investigation (PUIs) for Ebola Virus Disease (EVD). Internet: http://www.cdc.gov/vhf/ebola/healthcare-us/emergency-services/emergencydepartments.

Chowell, G., & Nishiura, H. (2015). Transmission Dynamics and Control of Ebola Virus Disease (EVD): A Review. BMC Medicine, 12(1), 196.

Didigwu, N. E., Mbah, G. C. E., & Bassey, E. B. (2019). Optimal Control Analysis Model of Ebola Virus Infection: Impact of Socio-Economic Status. International Journal of Applied Science and Mathematics, 6(6), 2394–2894.

Gomes, M. F. C., Pastorey, Piontti, A., Rossi, L., Chao, D., Longini, I., Halloran, M. E., & Vespignani, A. (2014). Assessing the International Spreading Risk Associated with the 2014 West African Ebola Outbreak. PLOS Currents Outbreaks.

Heesterbeek, J. A. P. (2014). The Role of Mathematical Models in Infectious Disease Epidemiology. Acta Biotheoretica, 50(3), 189–204.

Khan, A. S., Tshioko, F. K., Heymann, D. L., Le Guenno, B., & Nabeth, P. (1999). The Re-Emergence of Ebola Hemorrhagic Fever, Democratic Republic of the Congo, 1995. Commission de Lutte Contre les Epidémies à Kikwit. The Journal of Infectious Diseases, 179(1), S76–S86.

Lassalle, J. P. (1976). The Stability of Dynamical Systems. Regional Conference Series in Applied Mathematics. SIAM.

Legrand, J., Grais, R. F., Boelle, P. Y., Valleron, A. J., & Flahault, A. (2007). Understanding the Dynamics of Ebola Epidemics. Epidemiology and Infection, 135(4), 610–621.

Madubueze, C. E., Kimbir, A. R., & Aboiyar, T. (2018). Global Stability of Ebola Virus Disease Model with Contact Tracing and Quarantine. Applications and Applied Mathematics: An International Journal (AAM), 13(1), 382–403.

Eisenberg, M. C., Eisenberg, J. N. S., Silva, J. P. D., Wells, E. V., Cherng, S., Kao, Y.-H., & Meza, R. (2014). Modelling Surveillance and Interventions in the 2014 Ebola Epidemic.

Onah, I. S., Collins, O. C., Madueme, P. G. U., & Mbah, G. C. E. (2020). Dynamical System Analysis and Optimal Control Measures of Lassa Fever Disease Model. International Journal of Mathematics and Mathematical Sciences, 2020, 1–18.

Rivers, C. M., Lofgren, E. T., Marathe, M., Eubank, S., & Lewis, B. L. (2014). Modeling the Impact of Interventions on an Epidemic of Ebola in Sierra Leone and Liberia. PLOS Currents, 6(2014), 777–794.

Saeed, R. J. M., Neger, O., Samaneh, B., Sepideh, J. M., & Seyehahmad, S. (2015). Ebola Viral Disease: A Literature Review. Asian Journal of Tropical Diseases, 210(4), 18–42.

Sullivan, N., Yang, Z., & Nabel, G. J. (2003). Ebola Virus Pathogenesis; Implications for Vaccine and Therapies. Journal of Virology, 77(18), 9733–9737.

Unaegbu, E. N., Onah, I. S., & Oyesanya, M. O. (2021). A Fractional Order HIV/AIDS Model Using Caputo-Fabrizio Operator. African Journal of Infectious Diseases, 15(2), 1–18.

Washington State Department of Health. (2018). DOH 420–126. Last revised: March.

World Health Organization. (2016). Ebola Data and Statistics.

World Health Organization. (2015). Ebola Response Phase 3: Framework for Achieving and Sustaining a Resilient Zero. Geneva, Switzerland: WHO.

World Health Organization. (2014). Ebola Virus Disease in West Africa – The First 9 Months of the Epidemic and Forward Projections. New England Journal of Medicine, 371(16), 1481–1495.

Most read articles by the same author(s)