Skip to main content
Log in

Dynamics and Optimal Control of Ebola Transmission

  • Published:
Mathematics in Computer Science Aims and scope Submit manuscript

Abstract

A major Ebola outbreak occurs in West Africa since March 2014, being the deadliest epidemic in history. As an infectious disease epidemiology, Ebola is the most lethal and is moving faster than in previous outbreaks. On 8 August 2014, the World Health Organization (WHO) declared the outbreak a public health emergency of international concern. Last update on 7 July 2015 by WHO reports 27,609 cases of Ebola with a total of 11,261 deaths. In this work, we present a mathematical description of the spread of Ebola virus based on the SEIR (Susceptible–Exposed–Infective–Recovered) model and optimal strategies for Ebola control. In order to control the propagation of the virus and to predict the impact of vaccine programmes, we investigate several strategies of optimal control of the spread of Ebola: control infection by vaccination of susceptible; minimize exposed and infected; reduce Ebola infection by vaccination and education.

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.

Similar content being viewed by others

References

  1. Althaus, C.L.: Estimating the reproduction number of Ebola virus (EBOV) during the 2014 outbreak in West Africa. PLOS Curr. Outbreaks (2014).doi:10.1371/currents.outbreaks.91afb5e0f279e7f29e7056095255b288

  2. Area, I., Batarfi, H., Losada, J., Nieto, J.J., Shammakh, W., Torres, A.: On a fractional order Ebola epidemic model, Adv. Differ. Equ. 2015, 278 (2015), 12 pp

  3. Area, I., Losada, J., Ndaïrou, F., Nieto, J.J., Tcheutia, D.D.: Mathematical modeling of 2014 Ebola outbreak. Math. Methods Appl. Sci. doi:10.1002/mma.3794 (in press)

  4. Ariens, D., Houska, B., Ferreau, H.J.: ACADO toolkit user’s manual. Toolkit for Automatic Control and Dynamic Optimization (2010). http://www.acadotoolkit.org

  5. Astacio, J., Briere, D., Guilléon, M., Martinez, J., Rodriguez, F., Valenzuela-Campos, N.: Mathematical models to study the outbreaks of Ebola. Report BU-1365-M, Mathematical and Theoretical Biology Institute (MTBI), Cornell University (1996)

  6. Banks, H.T., Castillo-Chavez, C.: Bioterrorism. Frontiers in Applied Mathematics, vol. 28. SIAM, Philadelphia (2003)

    MATH  Google Scholar 

  7. Barry, M., Traoré, F.A., Sako, F.B., Kpamy, D.O., Bah, E.I., Poncin, M., Keita, S., Cisse, M., Touré, A.: Ebola outbreak in Conakry, Guinea: epidemiological, clinical, and outcome features. Médecine et Maladies Infectieuses 44(11–12), 491–494 (2014)

    Article  Google Scholar 

  8. Berry, C.M.: Vaccine control of avian influenza H5N1 in poultry: need for a positive marker. J. Vaccin. Vaccin. 4(1), Art. ID 1000168 (2013), 4 pp

  9. Bock, H.G., Pitt, K.J.: A multiple shooting algorithm for direct solution of optimal control problems. Proc. 9th IFAC World Congress, Pergamon Press, Budapest, pp. 243–247 (1984)

  10. Borio, L., et al. [Working Group on Civilian Biodefense; Corporate Author].: Hemorrhagic fever viruses as biological weapons: medical and public health management. J. Am. Med. Assoc. 287(18), 2391–2405 (2002)

  11. Chowell, G., Hayman, J.M., Bettencourt, L.M.A., Castillo-Chavez, C.: Mathematical and Statistical Estimation Approaches in Epidemiology. Springer, Dordrecht (2009)

    Book  MATH  Google Scholar 

  12. Chowell, G., Hengartner, N.W., Castillo-Chavez, C., Fenimore, P.W., Hyman, J.M.: The basic reproductive number of Ebola and the effects of public health measures: the cases of Congo and Uganda. J. Theor. Biol. 229(1), 119–126 (2004)

    Article  MathSciNet  Google Scholar 

  13. Dowell, S.F., Mukunu, R., Ksiazek, T.G., Khan, A.S., Rollin, P.E., Peters, C.J.: Transmission of Ebola hemorrhagic fever: a study of risk factors in family members, Kikwit, Democratic Republic of the Congo, 1995. Commission de Lutte contre les Epidémies à Kikwit. J. Infect. Dis. 179(Suppl. 1), S87–S91 (1999)

    Article  Google Scholar 

  14. Gao, S., Teng, Z., Nieto, J.J., Torres, A.: Analysis of an SIR epidemic model with pulse vaccination and distributed time delay. J. Biomed. Biotechnol. 2007, Art. ID 64870 (2007), 10 pp

  15. Houska, B., Ferreau, H.J., Diehl, M.: ACADO toolkit—an open-source framework for automatic control and dynamic optimization. Optim. Control Appl. Methods 32(3), 298–312 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  16. Jung, E., Iwami, S., Takeuchi, Y., Jo, T.-C.: Optimal control strategy for prevention of avian influenza pandemic. J. Theor. Biol. 260(2), 220–229 (2009)

    Article  MathSciNet  Google Scholar 

  17. Kaurov, V.: Modeling a pandemic like Ebola with the Wolfram language. Tech. Commun. Strategy (2014). http://blog.wolfram.com/2014/11/04/modeling-a-pandemic-like-ebola-with-the-wolfram-language

  18. Legrand, J., Grais, R.F., Boelle, P.Y., Valleron, A.J., Flahault, A.: Understanding the dynamics of Ebola epidemics. Epidemiol. Infect. 135(4), 610–621 (2007)

    Article  Google Scholar 

  19. Lewnard, J.A.: Ndeffo Mbah, M.L., Alfaro-Murillo, J.A., Altice, F.L., Bawo, L., Nyenswah, T.G., Galvani, A.P.: Dynamics and control of Ebola virus transmission in Montserrado, Liberia: a mathematical modelling analysis. Lancet Infect. Dis. 14(12), 1189–1195 (2014)

    Article  Google Scholar 

  20. Peters, C.J., LeDuc, J.W.: An introduction to Ebola: the virus and the disease. J. Infect. Dis. 179(Suppl. 1), ix–xvi (1999)

  21. Rachah, A., Torres, D.F.M.: Mathematical modelling, simulation, and optimal control of the 2014 Ebola outbreak in West Africa. Discrete Dyn. Nat. Soc. 2015, Art. ID 842792 (2015), 9 pp

  22. Rachah, A., Torres, D.F.M.: Modelling and numerical simulation of the recent outbreak of Ebola. In: Proceedings of the 2nd International Conference on Numerical and Symbolic Computation: Developments and Applications (SYMCOMP 2015), Universidade do Algarve, Faro, March 26–27, 2015. Edited by APMTAC (Editors: A. Loja, J. I. Barbosa and J. A. Rodrigues), pp. 179–190. ISBN 978-989-96264-7-8

  23. Rachah, A., Torres, D.F.M.: Predicting and controlling the Ebola infection. Math. Methods Appl. Sci. doi:10.1002/mma.3841 (in press)

  24. Report of an International Commission: Ebola haemorrhagic fever in Zaire, 1976. Bull. World Health Organ. 56(2), 271–293 (1978)

    Google Scholar 

  25. Rodrigues, H.S., Monteiro, M.T.T., Torres, D.F.M.: Dynamics of dengue epidemics when using optimal control. Math. Comput. Model. 52(9–10), 1667–1673 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  26. Rodrigues, H.S., Monteiro, M.T.T., Torres, D.F.M.: Vaccination models and optimal control strategies to dengue. Math. Biosci. 247(1), 1–12 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  27. Rodrigues, H.S., Monteiro, M.T.T., Torres, D.F.M.: Optimal control and numerical software: an overview. In: Miranda, F. (ed.) Systems Theory: Perspectives, Applications and Developments, pp. 93–110. Nova Science Publishers, New York (2014)

    Google Scholar 

  28. Rodrigues, P., Silva, C.J., Torres, D.F.M.: Cost-effectiveness analysis of optimal control measures for tuberculosis. Bull. Math. Biol. 76(10), 2627–2645 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  29. Silva, C.J., Torres, D.F.M.: Optimal control for a tuberculosis model with reinfection and post-exposure interventions. Math. Biosci. 244(2), 154–164 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  30. Tchuenche, J.M., Khamis, S.A., Agusto, F.B., Mpeshe, S.C.: Optimal control and sensitivity analysis of an influenza model with treatment and vaccination. Acta Biotheoretica 59(1), 1–28 (2011)

    Article  Google Scholar 

  31. Uganda Ministry of Health.: An outbreak of Ebola in Uganda. Trop. Med. Int. Health. 7(12), 1068–1075 (2002)

  32. Valleron, A.J., Schwartz, D., Goldberg, M., Salamon, R.: Collectif Lépidémiologie humaine, Conditions de son développement en France, et rôle des mathématiques, vol. 462. Institut de France Académie des Sciences, Paris (2006)

    Google Scholar 

  33. WHO.: Report of an International Study Team. Ebola haemorrhagic fever in Sudan 1976. Bull. World Health Organ. 56(2), 247–270 (1978)

  34. WHO.: Ebola data and statistics. http://apps.who.int/gho/data/node.ebola-sitrep

  35. Zeng, D., Chen, H., Castillo-Chavez, C., Lober, W.B., Thurmond, M.: Infectious disease Informatics and Biosurveillance. Integrated Series in Information Systems, vol. 27. Springer, New York (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Delfim F. M. Torres.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rachah, A., Torres, D.F.M. Dynamics and Optimal Control of Ebola Transmission. Math.Comput.Sci. 10, 331–342 (2016). https://doi.org/10.1007/s11786-016-0268-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11786-016-0268-y

Keywords

Mathematics Subject Classification

Navigation