Skip to main content

Agent-Based Model of Dengue Disease Transmission by Aedes aegypti Populations

  • Conference paper
Advances in Artificial Life. Darwin Meets von Neumann (ECAL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5777))

Included in the following conference series:

Abstract

This paper presents an agent based model of the Aedes aegypti mosquito showing not only population dynamics but also the Dengue disease propagation in both the vector and host populations (mosquitoes and humans, respectively); this study will focus on the latter aspect. The agents model the main aspects of the mosquito’s ecology and behavior, while the environmental components are implemented as a layer of dynamic elements obeying to physical laws. Model verification was performed through examination of simulation parameters variation and qualitative assessment with existing models and simulations. The agent based modeling and simulation platform used was the LAIS simulator.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Senior, K.: Climate change and infectious disease: a dangerous liaison. The Lancet Infectious Diseases 8(2), 92–93 (2008)

    Article  Google Scholar 

  2. Isidoro, C., Fachada, N., Barata, F., Rosa, A.: Agent-based model of aedes aegypti population dynamics. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds.) EPIA 2009. LNCS (LNAI), vol. 5816, pp. 53–64. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Helleboogh, A., Vizzari, G., Uhrmacher, A., Michel, F.: Modeling dynamic environments in multi-agent simulation. Autonomous Agents and Multi-Agent Systems 14(1), 87–116 (2007)

    Article  Google Scholar 

  4. Ross, R.: The Prevention of Malaria (1911)

    Google Scholar 

  5. Macdonald, G.: The analysis of equilibrium in malaria. Trop. Dis. Bull. 49(9), 813–829 (1952)

    Google Scholar 

  6. Macdonald, G.: The epidemiology and control of malaria (1957)

    Google Scholar 

  7. Eisenberg, J., Reisen, W., Spear, R.: Dynamic model comparing the bionomics of two isolated Culex tarsalis (Diptera: Culicidae) populations: model development. Journal of Medical Entomology 32(2), 83–97 (1995)

    Article  Google Scholar 

  8. Eisenberg, J., Reisen, W., Spear, R.: Dynamic model comparing the bionomics of two isolated Culex tarsalis (Diptera: Culicidae) populations: sensitivity analysis. Journal of Medical Entomology 32(2), 98–106 (1995)

    Article  Google Scholar 

  9. Alto, B., Juliano, S.: Precipitation and temperature effects on populations of Aedes albopictus (Diptera: Culicidae): implications for range expansion. Journal of Medical Entomology 38(5), 646–656 (2001)

    Article  Google Scholar 

  10. Ahumada, J., Lapointe, D., Samuel, M.: Modeling the population dynamics of Culex quinquefasciatus (Diptera: Culicidae), along an elevational gradient in Hawaii. Journal of Medical Entomology 41(6), 1157–1170 (2004)

    Article  Google Scholar 

  11. Focks, D., Haile, D., Daniels, E., Mount, G.: Dynamic life table model of a container-inhabiting mosquito, Aedes aegypti (L.)(Diptera: Culicidae). Part 1. Analysis of the literature and model development. Journal of Medical Entomology 30, 1003–1017 (1993)

    Article  Google Scholar 

  12. Focks, D., Haile, D., Daniels, E., Mount, G.: Dynamic life table model of a container-inhabiting mosquito, Aedes aegypti (L.)(Diptera: Culicidae). Part 2. Simulation results and validation. Journal of Medical Entomology 30, 1018–1028 (1993)

    Article  Google Scholar 

  13. Deng, C., Tao, H., Ye, Z.: Agent-based modeling to simulate the dengue spread 7143, 714310 (2008)

    Google Scholar 

  14. Thomas, D., Donnelly, C., Wood, R., Alphey, L.: Insect population control using a dominant, repressible, lethal genetic system. Science 287 (5462), 2474–2476

    Google Scholar 

  15. Atkinson, M., Su, Z., Alphey, N., Alphey, L., Coleman, P., Wein, L.: Analyzing the control of mosquito-borne diseases by a dominant lethal genetic system. Proceedings of the National Academy of Sciences 104(22), 9540–9546 (2007)

    Article  Google Scholar 

  16. Esteva, L., Mo Yang, H.: Mathematical model to assess the control of Aedes aegypti mosquitoes by the sterile insect technique. Mathematical Biosciences 198(2), 132–147 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  17. Li, J.: Simple mathematical models for interacting wild and transgenic mosquito populations. Mathematical Biosciences 189(1), 39–59 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  18. Maiti, A., Patra, B., Samanta, G.: Sterile insect release method as a control measure of insect pests: A mathematical model. Journal of Applied Mathematics and Computing 22(3), 71–86 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  19. Fachada, N.: Agent-based Simulation of the Immune System. Master’s thesis, Instituto Superior Técnico, Lisboa (July 2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Isidoro, C., Fachada, N., Barata, F., Rosa, A. (2011). Agent-Based Model of Dengue Disease Transmission by Aedes aegypti Populations. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21283-3_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21283-3_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21282-6

  • Online ISBN: 978-3-642-21283-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics