Multi-agent modeling and simulation of an Aedes aegypti mosquito population

Environmental Modelling and Software

Volumn 25, Issue 12, 2010, Pages 1490-1507

  Almeida, Sandro Jerônimo de ^a   Martins Ferreira, Ricardo Poley ^b   Eiras, Álvaro E ^b   Obermayr, Robin P ^c   Geier, Martin ^c  

^a PONTIFICAL CATHOLIC UNIVERSITY OF MINAS GERAIS   (Brazil)

^b FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^c UNIVERSITY OF REGENSBURG   (Germany)

Author keywords

Aedes aegypti mosquito; Agent based model; BG Sentinel; Ecological model; Individual based model; Multi agent simulation

Indexed keywords

AEDES AEGYPTI; AGENT-BASED MODEL; BG-SENTINEL; ECOLOGICAL MODELS; INDIVIDUAL-BASED MODELS; MULTI AGENT SIMULATION;

COMPUTATIONAL METHODS; ECOLOGY; MAMMALS; MULTI AGENT SYSTEMS; POPULATION STATISTICS;

COMPUTER SIMULATION;

ECOLOGICAL MODELING; INDIVIDUAL-BASED MODEL; INTERMEDIATE HOST; MAMMAL; MOSQUITO; POPULATION MODELING; TRAP (EQUIPMENT); URBAN REGION;

AEDES AEGYPTI; MAMMALIA;

EID: 84755161307     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2010.04.021     Document Type: Review

References (60)

1. Anholt B.R. How should we test for the role of behaviour in population dynamics?. Evolutionary Ecology 1997, 11:633-640.
2. Athanasiadis I.N., Milis M., Mitkas P.A., Michaelides S.C. A multi-agent system for meteorological radar data management and decision support. Environmental Modelling & Software 2009, 24(11):1264-1273.
3. Barrett C.L., Eubank S.G., Smith J.P. IF SMALLPOX STRIKES PORTLAND. EPISIMS unleashes virtual plagues in real cities to see how social networks spread disease. That knowledge might help stop epidemics. Scientific American 2005, 292(3):42-49.
4. Batty M., Mackie S. The calibration of gravity, entropy and related models of spatial interaction. Environment and Planning 1972, 4:205-233.
5. Bellows T.S., Van Driesche R.G., Elkinton J.S. Life-table construction and analysis in the evaluation of natural enemies. Annual Review of Entomology 1992, 37:587-614.
6. Berman J. Recent developments in leishmaniasis: epidemiology, diagnosis, and treatment. Curr Infect Dis Resp 2005, 7:33-38.
7. Bithell M., Brasington J. Coupling agent-based models of subsistence farming with individual-based forest models and dynamic models of water distribution. Environmental Modelling & Software 2009, 24(2):173-190.
8. Bomblies A., Duchemin J.-A., Eltahir E.A.B. Hydrology of malaria: model development and application to a Sahelian village. Water Resources Research 2008, 44:26(12).
9. Campbell-Lendrum D., Molyneux D. Ecosystems and vector-borne disease control. Ecosystems and Human Well-being: Policy Responses 2005, vol. 2:353-372. Island Press, Washington, DC. P. Epstein, A. Githeko, J. Rabinovich, P. Weinstein (Eds.).
10. Chli, M., De Wilde, P., Goossenaerts, J., Abramov, V., Szirbik, N., Correia, L., Mariano, P., Ribeiro, R., 2003. Stability of Multi-Agent Systems. In: Proceedings of the 2003 IEEE International Conference on Systems, Man, and Cybernetics, pp. 551-556.
11. Chung C.A. Simulation Modeling Handbook: A Practical Approach 2003, CRC Press.
12. Consoli R.A.G.B., Oliveira R.L. Principais Mosquitos de Importância Sanitária no Brasil 1994, Editora Fiocruz, Rio de Janeiro.
13. Costero A., Edman J.D., Clark G.G., Kittayapong P., Scott T.W. Survival of starved Aedes aegypti (Diptera: Culicidae) in Puerto Rico and Thailand. Journal of Medical Entomology May 1999, 36(3):272-276.
14. CPTEC-INPE, 2009. Centro de previsão de tempo e estudos climáticos. Available from: (accessed 4 April 2010). http://www.cptec.inpe.br/.
15. Derouich M., Boutayeb A., Twizell E. A model of dengue fever. BioMedical Engineering OnLine 2003.
16. Dye C. Models for the population dynamics of the yellow fever mosquito, Aedes aegypti. Journal of Animal Ecology 1984, 53(1):247-268.
17. Eiras A.E. Chapter 40: Culicidae. Parasitologia Humana 2000, Atheneu. D.P. Neves (Ed.).
18. Ericson C. Real-Time Collision Detection 2004, Morgan Kaufmann.
19. Fahse L., Wissel C., Grimm V. Reconciling classical and individual-based approaches in theoretical population ecology: a protocol for extracting population parameters from individual-based models. The American Naturalist 1998, 152(6):838-852.
20. Ferguson N.M., Keeling M.J., Edmunds J.W., Gani R., Grenfell B.T., Anderson R.M., Leach S. Planning for smallpox outbreaks. Nature 2003, 425:681-685.
21. Ferreira, C.P., Yang, H.M., 2003. Estudo dinâmico da população de mosquitos Aedes aegypti. CNMAC - Congresso Nacional de Matemática Aplicada e Computacional, pp. 187-196.
22. Focks D.A., Haile D.G., Daniels E., Mount G.A. Dynamic life table for Aedes aegypti (Diptera: Culicidae): analysis of the literature and model development. Journal of Medical Entomology 1993, 1003-1017.
23. Focks D.A., Haile D.G., Daniels E., Mount G.A. Dynamic life table for Aedes aegypti (Diptera: Culicidae): simulation results and validation. Journal of Medical Entomology 1993, 1018-1028.
24. Focks D.A., Daniels E., Haile D.G., Keesling J.E. A simulation model of the epidemiology of urban dengue fever: literature analysis, model development, preliminary validation, and samples of simulation results. American Journal of Tropical Medicine and Hygiene 1995, 489-506.
25. Goh B.S. Global stability in many-species systems. American Naturalist 1977, 111:135-143.
26. Gomes A.S., Sciavico C.J.S., Eiras A.E. Periodicidade de oviposição de fêmeas de Aedes aegypti (Linnaeus, 1762) (Diptera: Culicidae) em laboratório e campo. Journal of Brazilian Society of Tropical Medicine 2006, 327-332.
27. Grand Challenges in Global Health, 2009. Available from: (accessed 4 April 2010). http://www.grandchallenges.org/ControlInsect/Pages/default.aspx.
28. Grimm V. Ten years of individual-based modelling in ecology: what have we learned, and what could we learn in the future. Ecological Modelling 1999, 129-148.
29. Grimm, V., Railsback, S.F., 2005. Individual-based Modeling and Ecology, New Jersey.
30. Grimm V., et al. A standard protocol for describing individual-based and agent-based models. Ecological Modelling 2006, 115-126.
31. Houghton, J.T., Meira Filho, L.G., Griggs, D.J., Maskell, K., 1997. Stabilization of atmospheric greenhouse gases: physical, biological and socio-economic implications. IPCC Technical Paper III. IPCC, pp. 51.
32. Hagelbäck, J., Johansson, S.J., 2008. Using multi-agent potential fields in real-time strategy games. In: Proceedings of International Conference on Autonomous Agents and Multi-agent Systems (AAMAS).
33. Hawkins B.A., Cornell H.V., Hochberg M.E. Predators, parasitoids, and pathogens as mortality agents in phytophagous insect populations. Ecology 1997, 78:2145-2152.
34. Kröckel U., Rose A., Eiras A.E., Geier M. New tools for surveillance of adult yellow fever mosquitoes: comparison of trap catches with human landing rates in an urban environment. Journal of the American Mosquito Control Association 2006, 22:229-238.
35. Leonel M.A., Yoneyama T. Optimal and sub-optimal control in Dengue epidemics. Optimal Control Applications and Methods 2000.
36. Lowry I.S. A short course in hodel design. Journal of the American Institute of Planners 1965, 31:158-165.
37. Luenberger D.G. Linear and Nonlinear Programming 1989, Addison-Wesley Publishing Co.
38. Lyapunov A.M. The General Problem of the Stability of Motion 1992, Taylor & Francis, London, Reprint.
39. Maciel-de-Freitas R., Eiras A.E., Lourenço-de-Oliveira R. Calculating the survival rate and estimated population density of gravid Aedes aegypti (Diptera: Culicidae) in Rio de Janeiro, Brazil. Memórias of Instituto Oswaldo Cruz 2008, 24:1-8.
40. May R. Stability and Complexity in Model Ecosystems 1974, Princeton University Press, Princeton, NJ. second ed.
41. Millington I. Artificial Intelligence for Games 2006, Morgan Kaufmann.
42. Minar, N., Burkhart, R., Langton, C., Askenazi, M., 1996. The Swarm Simulation System, A Toolkit for Building Multi-Agent Simulations.
43. Mwangi R.W., Rembold H. Growth-inhibiting and larvicidal effects of Melia volkensii extracts on Aedes aegypti larvae. Entomol. Exp. Appl. 1988, 46:103-108.
44. North M.J., Collier N.T., Vos J.R. Experiences creating three implementations of the repast agent modeling toolkit. ACM Trans. Model. Comput. Simul. 2006, 16(1):1-25.
45. Parunak H.V.D., Savit R., Riolo R.L. Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users Guide. Multi-agent Systems and Agent-based Simulation (MABS'98) 1998, vol. 1534. Springer-Verlag.
46. Peck S.L. Simulation as experiment: a philosophical reassessment for biological modeling. Trends in Ecology and Evolution 2004.
47. Perez L., Dragicevic A. Modeling mountain pine beetle infestation with an agent-based approach at two spatial scales. Modelling & Software 2009, 25(2):223-236.
48. Peters T.M., Barbosa P. Influence of population density on size, fecundity, and developmental rate of insects in culture. Annual Review of Entomology 1977, 22:431-450.
49. Peterson, J., 1998. Global Warming Would Foster Spread of Dengue Fever into Some Temperate Regions.
50. Rahmandad H., Sterman J. Heterogeneity and network structure in the dynamics of diffusion: comparing agent-based and differential equation models. Management Science 2008, 54(5):998-1014.
51. Rao D.M., Chernyakhovsky A., Rao V. Modeling and analysis of global epidemiology of avian influenza. Environmental Modelling & Software 2008, 24(1):124-134.
52. Sandholm T. Multi-agent Systems: A Modern Introduction to Distributed Artificial Intelligence 1999, MIT Press.
53. Swarm Development Group: Swarm 2.2 2004, Swarm Development Group, (accessed 4 April 2010). http://wiki.swarm.org.
54. Templin R.J. The spectrum of animal flight: insects to pterosaurs. Progress in Aerospace Sciences 2000, 393-436.
55. Vlassis N. A Concise Introduction to Multiagent Systems and Distributed AI 2003, Informatics Institute, University of Amsterdam.
56. Williams C.R., Johnson P.H., Long S.A., Rapley L.P., Ritchie S.A. Rapid estimation of aedes aegypti population size using simulation modeling, with a novel approach to calibration and field validation. Journal of Medical Entomology 2008, 1173-1179.
57. Wooldridge M. An Introduction to MultiAgent Systems 2002, Wiley, Chichester.
58. Dengue and Dengue Haemorrhagic Fever 2002, World Health Organization, (accessed 4 April 2010). http://www.who.int/mediacentre/factsheets/fs117/en/.
59. Yang H.M. Epidemiologia da Transmissão da Dengue 2003, CNMAC - Congresso Nacional de Matemática Aplicada e Computacional, pp. 387-396.
60. Yang H.M., Ternes S., Ferreira C.P. Dinâmica populacional do vetor transmissor da dengue 2002, CNMAC - Congresso Nacional de Matemática Aplicada e Computacional, p. 478.