Epidemic propagation of west nile virus using a multi-agent geo-simulation under various short-term climate scenarios

ABSTRACT

In this paper we show how multi-agent geo-simulation can provide a useful approach to simulate the propagation of epidemics and to support intervention strategies. Using such an approach we developed a system that can plausibly simulate the interactions of mosquitoes (Culex sp.) and birds (American Crows) in the context of the spread and transmission of the West Nile virus (WNV). This simulation takes place in a geo-referenced virtual environment representing a large territory (Southern part of Quebec) in which a user can explore various climate change scenarios and the effects of different measures to control the disease vectors such as the spreading of larvicides. The paper shows how we simulated the spatio-temporal interactions of large populations of mosquitoes and crows and took advantage of a mathematical compartment model simulating the populations' dynamics. We developed an operational prototype and calibrated it. This system can be used to support short term decision-making related to WNV vector control measures.

REFERENCES

• 1: Ji-Lung Hsieh , Chuen-Tsai Sun , Gloria Yi-Ming Kao , Chung-Yuan Huang, Teaching through Simulation: Epidemic Dynamics and Public Health Policies, Simulation, v.82 n.11, p.731-759, November 2006 [doi>10.1177/0037549706074487]
• 2: Emrich S., Suslov S., Judex F. 2007. "Fully Agent Based. Modellings of Epidemic Spread Using Anylogic". Proc. EUROSIM, 9--13 Sept. 2007, Ljubljana, Slovenia.
• 3: Gong X., Xiao R. 2007. "Research on Multi-Agent Simulation of Epidemic News Spread Characteristics". Journal of Artificial Societies and Social Simulation vol. 10, no. 31.
• 4: Crooks A., Castle C., Batty M. 2007. "Key Challenges in Agent-Based Modelling for Geo-Spatial Simulation". CASA Working Paper 121, University College London.
• 5: Moulin B., Chaker W., Perron J., Pelletier P., Hogan J., Gbei E. 2003. "MAGS Project: Multi-agent geosimulation and crowd simulation". Proceedings of the COSIT'03 Conference, Ittingen (Switzerland), September 2003, Kuhn, Worboys and Timpf (edts.), Spatial Information Theory, Springer Verlag LNCS 2825, pages 151--168 {http://www.springerlink.com/content/xppaa5uvknmc0evq}
• 6: Benenson I., Torrens P. M. 2004. "Geosimulation: object-based modeling of urban phenomena". Computers, Environment and Urban Systems 28:1--8.
• 7: Gosselin P., Lebel G., Rivest S., Douville-Fradet M. 2005. "The Integrated System for Public Health Monitoring of West Nile Virus (ISPHM-WNV): a real-time GIS for surveillance and decision-making". International Journal of Health Geographics. 2005, 4:21 {http://www.ijhealthgeographics.com/content/4/1/21}
• 8: Ruiz M. O., Tedesco C., McTighe T. J., Austin C., Kitron U. 2002. "Environmental and social determinants of human risk during a West Nile virus outbreak in the greater Chicago area". Int J Health Geogr. 2004;3:8. {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=42 0251}
• 9: Koné P., Lambert L., Milord F. 2005. "Épidémiologie et effets de l'infection par le virus du Nil occidental sur la santé humaine". Institut national de santé publique du Québec. {http://www.inspq.qc.ca/pdf/publications/408-EpidemioVNO_MiseAJour2004.pdf}.
• 10: Nasci R. S., Savage H. M., White D. J., Miller J. R., Cropp B. C., Godsey M. S., Kerst A. J., Bennett P., Gottfried K., Lanciotti R. S. 2001. "West Nile virus in overwintering Culex mosquitoes, New York City 2000". Emerging Infect. Dis. 7, 742--744. {http://www.cdc.gov/ncidod/eid/vol7no4/pdfs/nasci2.pdf}
• 11: Caccamise D. F., Reed L. M., Romanowski J., Stouffer P. C. 1997. "Roosting behavior and group territoriality in American Crows". The Auk Oct. 1997. 114(4):628--637. 2008 SpringSim
• 12: Caglar S. S., Alten B., Bellini R., Simsek F. M., Kaynas S. 2003. "Comparison of nocturnal activities of mosquitoes (Diptera: Culicidae) sampled by New Jersey light traps and CO2 traps in Belek, Turkey". J Vector Ecol. 2003 Jun;28(1):12--22.
• 13: W. T. Reeves, Particle Systems—a Technique for Modeling a Class of Fuzzy Objects, ACM Transactions on Graphics (TOG), v.2 n.2, p.91-108, April 1983 [doi>10.1145/357318.357320]
• 14: Institut National de Santé Publique du Québec (INSPQ) (2006). "Le risque relié au virus du Nil occidental au Québec et les interventions à privilégier". INSPQ report. {http://www.inspq.qc.ca/pdf/publications/491-AvisRisqueVNO.pdf}
• 15: Institut National de Santé Publique du Québec (INSPQ) (2005). "Épidémiologie et effets de l'infection par le virus du Nil occidental sur la santé humaine - Mise à jour 2004". INSPQ report. {http://www.inspq.qc.ca/pdf/publications/408-EpidemioVNO_MiseAJour2004.pdf}
• 16: Scott W. Ambler , Ron Jeffries, Agile modeling: effective practices for extreme programming and the unified process, John Wiley & Sons, Inc., New York, NY, 2002
• 17: Robert Plant , Rose Gamble, Methodologies for the development of knowledge-based systems, 1982–2002, The Knowledge Engineering Review, v.18 n.1, p.47-81, January 2003 [doi>10.1017/S026988890300064X]
• 18: Moulin B. (1985). "La méthode EPAS, plan de systèmes et modélisation conceptuelle des données". Rapport de recherche DIUL-RR-8508, Université Laval, Département d'informatique, septembre 1985, 120 pages.
• 19: Étude des populations d'oiseaux du Québec (ÉPOQ). {http://www.oiseauxqc.org/epoq.jsp}
• 20: Wonham M. J., De-Camino-Beck T., Lewis M. A. 2004. "An epidemiological model for West Nile virus: invasion analysis and control applications". Proc R Soc Lond B Biol Sci. 2004 Mar 7, 271(1538):501--507.
• 21: Madder D. J., Surgeoner G. A., Helson B. B. 1983. "Number of generations, egg production, and developmental time of Culex pipiens and Culex restuans in southern Ontario". J. Med. Entomol. 20: 275--287.
• 22: Noël PA (2007). "Dynamique de modèles épidémiologiques: Applications au cas du virus du Nil occidental". 2007. Mémoire de maîtrise, Université Laval.
• 23: Société de Protection des Forêts contre les Insectes et Maladies (SOPFIM). {http://www.sopfim.qc.ca/}
• 24: Regniere J., Cooke B., Bergeron V. 1996. "BioSIM: a computer-based decision support tool for seasonal planning of pest management activities". User's Manual. Can. For. Serv. Info. Rep. LAU-X-155. 50 pages. {http://www.nrcan-rncan.gc.ca/cfs-scf/science/technologies/biosim_f.html}.
• 25: Environment Canada Web Site: Canadian Climate Normals or Averages 1971--2000. {http://www.climat.meteo.ec.gc.ca/climate_normals/index_f.html}
• 26: Geosimulation Web Site {http://www.geosimulation.org/ geosim/}
• 27: Reisen W. K., Marilyn M. M., Meyer R. 1992. "Population Dynamics of Adult Culex Mosquitoes (Diptera: Culicidaw) Along the Ken River, Kern County, California, in 1990". J. Med. Entomol. 29(3): 531--543.
• 28: Reisen W. K., Milby M. M., Meyer R. P., Pfuntner A. R., Spoehel J., Hazelrigg, Webb Jr. J. P. 1991. "Mark-Release-Recapture Studies with Culex Mosquitoes (Diptera: Culicidae) in Southern California". J. Med. Entomol. 28(3):357--371.
• 29: Li Z., Hlohowskyj I., Smith K., Smith R. 2005. "Agent-Based Model for Simulation of West Nile Virus Transmission". Agent 2005 proceedings. 459--472.
• 30: Cooke III W. H., Katarzyna G. K., Robert C. W. 2006. "Avian GIS models signal human risk for West Nile virus in Mississippi". IJHG journal, 5:36.

INDEX TERMS

Keywords:
West Nile virus, climate change, epidemic propagation, multi-agent geo-simulation, vector control