Abstract
West Nile Virus (WNV) is a mosquito-borne disease heavily influenced by Avian species as amplifying hosts. In many other mosquito-borne diseases humans act as amplifying host. This, in general, makes the modelling effort of WNV fundamentally differs from other mosquito-borne diseases. Agent-based modelling (ABM) is a fairly recent approach for studying complex systems such as WNV transmission. Intrinsically, ABMs can capture heterogeneous properties of a system by designing the rules of behaviour at an individual-level. In the WNV epidemiology, these individuals (i.e. agents) are various species of mosquitoes, birds and mammals (including humans). In this paper, we survey the literature of some traditional mathematical models of WNV, a number of agent-based models of mosquito behaviours and mosquito-borne diseases, as well as ABM within the WNV epidemiology. While there is a relatively large number of studies of both ABMs and WNV models on their own, very few WNV–ABM exist.
Similar content being viewed by others
References
Smithburn, K. C., Hughes, T. P., Burke, A. W., & Paul, J. H. (1940). A neurotropic virus isolated from the blood of a native of Uganda1. The American Journal of Tropical Medicine and Hygiene, 1(4), 471–492.
Zeller, H. G., & Schuffenecker, I. (2004). West Nile virus: An overview of its spread in Europe and the Mediterranean basin in contrast to its spread in the Americas. European Journal of Clinical Microbiology and Infectious Diseases, 23, 147–156. https://doi.org/10.1007/s10096-003-1085-1.
Nash, D., Mostashari, F., Fine, A., Miller, J., O’Leary, D., Murray, K., et al. (2001). The outbreak of West Nile virus infection in the New York City area in 1999. New England Journal of Medicine, 344, 1807–1814.
Health Canada. West Nile virus. October 10, 2012. Retrieved April 15, 2015, from http://healthycanadians.gc.ca/diseases-conditions-maladies-affections/disease-maladie/wnv-vno-eng.php.
Government of Manitoba. West Nile virus fact sheet. Retrieved April 15, 2015, from http://www.gov.mb.ca/health/publichealth/factsheets/target.pdf.
Chen, C.-C., Epp, T., Jenkins, E., Waldner, C., Curry, P. S., & Soos, C. (2012). Predicting weekly variation of Culex tarsalis (Diptera: Culicidae) West Nile virus infection in a newly endemic region, the Canadian prairies. Journal of Medical Entomology, 49, 1144–1153. https://doi.org/10.1603/ME11221.
American Mosquito Control Association. Mosquito life cycle. Retrieved April 15, 2015, from http://www.mosquito.org/life-cycle, http://www.webcitation.org/6iJntDZde.
Bowman, C., Gumel, A. B., van den Driessche, P., Wu, J., & Zhu, H. (2005). A mathematical model for assessing control strategies against West Nile virus. Bulletin of Mathematical Biology, 67, 1107–1133. https://doi.org/10.1016/j.bulm.2005.01.002.
Rappole, J. H., Compton, B. W., Leimgruber, P., Robertson, J., King, D. I. (2006). Renner SCC-/home/cmbarker/documents/references/Rappole_2006_VBZD_Modeling_movement_of_WNV_in_the_western_hemisphere. pd. Modeling movement of West Nile virus in the western hemisphere. Vector-Borne Zoonotic Disease 6, 128–139. https://doi.org/10.1673/031.007.0501.
Nasrinpour, H. R., Reimer, A. A., Friesen, M. R., & McLeod, R. D. (2017). Data preparation for West Nile virus agent-based modelling: Protocol for processing bird population estimates and incorporating ArcMap in AnyLogic. JMIR Research Protocols, 6, e138. https://doi.org/10.2196/resprot.6213.
Nasrinpour, H. R., Friesen, M. R., McLeod, R.D. (2016). An agent-based model of message propagation in the facebook electronic social network. http://arxiv.org/abs/1611.07454.
Chevalier, V., Tran, A., & Durand, B. (2013). Predictive modeling of west nile virus transmission risk in the mediterranean basin: How far from landing? International Journal of Environmental Research and Public Health, 11, 67–90. https://doi.org/10.3390/ijerph110100067.
Rodríguez-Prieto, V., Martínez-López, B., Martínez, M., Muñoz, M. J., & Sánchez-Vizcaíno, J. M. (2012). Identification of suitable areas for West Nile virus outbreaks in equid populations for application in surveillance plans: The example of the Castile and Leon region of Spain. Epidemiology and Infection, 140, 1617–1631. https://doi.org/10.1017/S0950268811002366.
Balenghien, T., Fouque, F., Sabatier, P., & Bicout, D. J. (2011). Theoretical formulation for mosquito host-feeding patterns: Application to a West Nile virus focus of southern France. Journal of Medical Entomology, 48, 1076–1090.
Thomas, D. M., & Urena, B. (2001). A model describing the evolution of West Nile-like encephalitis in New York City. Mathematical and Computer Modelling, 34, 771–781. https://doi.org/10.1016/S0895-7177(01)00098-X.
Wonham, M. J., De-Camino-Beck, T., & Lewis, M. A. (2004). An epidemiological model for West Nile virus: Invasion analysis and control applications. Proceedings of the Royal Society of London B: Biological Sciences., 271, 501–507. https://doi.org/10.1098/rspb.2003.2608.
Cruz-Pacheco, G., Esteva, L., Montaño-Hirose, J. A., & Vargas, C. (2005). Modelling the dynamics of West Nile Virus. Bulletin of Mathematical Biology, 67, 1157–1172. https://doi.org/10.1016/j.bulm.2004.11.008.
Simpson, J. E., Hurtado, P. J., Medlock, J., Molaei, G., Andreadis, T. G., Galvani, A. P., et al. (2012). Vector host-feeding preferences drive transmission of multi-host pathogens: West Nile virus as a model system. Proceedings of the Royal Society of London B: Biological Sciences, 279, 925–933. https://doi.org/10.1098/rspb.2011.1282.
Friesen, M. R., & McLeod, R. D. (2014). A survey of agent-based modeling of hospital environments. IEEE Access, 2, 227–233. https://doi.org/10.1109/ACCESS.2014.2313957.
Laskowski, M., Demianyk, B. C. P., Witt, J., Mukhi, S. N., Friesen, M. R., & McLeod, R. D. (2011). Agent-based modeling of the spread of influenza-like illness in an emergency department: A simulation study. IEEE Transactions on Information Technology in Biomedicine, 15, 877–889. https://doi.org/10.1109/TITB.2011.2163414.
Neighbour, R., Oppenheimer, L., Mukhi, S. N., Friesen, M. R., & McLeod, R. D. (2010). Agent based modeling of “crowdinforming” as a means of load balancing at emergency departments. Online Journal of Public Health Informatics. https://doi.org/10.5210/ojphi.v2i3.3225.
Silverman, B. G., Hanrahan, N., Bharathy, G., Gordon, K., & Johnson, D. (2015). A systems approach to healthcare: Agent-based modeling, community mental health, and population well-being. Artificial Intelligence in Medicine, 63, 61–71. https://doi.org/10.1016/j.artmed.2014.08.006.
Cummins, B., Cortez, R., Foppa, I. M., Walbeck, J., & Hyman, J. M. (2012). A spatial model of mosquito host-seeking behavior. PLoS Computational Biology, 8(5), e1002500. https://doi.org/10.1371/journal.pcbi.1002500.
de Almeida, S. J., Martins Ferreira, R. P., Eiras, Á. E., Obermayr, R. P., & Geier, M. (2010). Multi-agent modeling and simulation of an Aedes aegypti mosquito population. Environmental Modelling & Software, 25, 1490–1507. https://doi.org/10.1016/j.envsoft.2010.04.021.
Chao, D. L., Halstead, S. B., Halloran, M. E., & Longini, I. M. (2012). Controlling dengue with vaccines in Thailand. PLoS Neglected Tropical Diseases., 6, e1876. https://doi.org/10.1371/journal.pntd.0001876.
Eckhoff, P. A. (2011). A malaria transmission-directed model of mosquito life cycle and ecology. Malaria Journal, 10, 303. https://doi.org/10.1186/1475-2875-10-303.
Arifin, S., Zhou, Y., Davis, G. J., Gentile, J. E., Madey, G. R., & Collins, F. H. (2014). An agent-based model of the population dynamics of Anopheles gambiae. Malaria Journal, 13, 424. https://doi.org/10.1186/1475-2875-13-424.
Gunaratne, C., Akbas, M. I., Garibay, I., Ozmen, O. (2016). Evaluation of Zika vector control strategies using agent-based modeling. arXiv:1604.06121.
Mniszewski, S. M., Manore, C. A., Bryan, C., Del Valle, S. Y., Roberts, D. (2014). Towards a hybrid agent-based model for mosquito borne disease. Summer Computer Simulation Conference (SCSC 2014) (p. 10). Monterey, California, USA: NIH Public Access http://www.ncbi.nlm.nih.gov/pubmed/26618203.
Manore, C. A., Hickmann, K. S., Hyman, J. M., Foppa, I. M., Davis, J. K., Wesson, D. M., et al. (2015). A network-patch methodology for adapting agent-based models for directly transmitted disease to mosquito-borne disease. Journal of Biological Dynamics, 9, 52–72. https://doi.org/10.1080/17513758.2015.1005698.
Adams, B., & Kapan, D. D. (2009). Man bites mosquito: Understanding the contribution of human movement to vector-borne disease dynamics. PLoS ONE, 4, e6763. https://doi.org/10.1371/journal.pone.0006763.
Perkins, T. A., Scott, T. W., Le Menach, A., & Smith, D. L. (2013). Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission. PLoS Computational Biology, 9, e1003327. https://doi.org/10.1371/journal.pcbi.1003327.
Padmanabha, H., Durham, D., Correa, F., Diuk-Wasser, M., & Galvani, A. (2012). The interactive roles of aedes aegypti super-production and human density in dengue transmission. PLoS Neglected Tropical Diseases, 6, E1799. https://doi.org/10.1371/Journal.Pntd.0001799.
Li, Z., Hayse, J., Hlohowskyj, I., Smith, K., Smith, R. (2005). Agent-based model for simulation of West Nile virus transmission. The agent 2005 conference on generative social processes, models, and mechanisms (pp. 459–472). http://mysite.science.uottawa.ca/rsmith43/AgentbasedmodelWNV.pdf, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.493.9366.
Bouden, M., Moulin, B., & Gosselin, P. (2008). The geosimulation of West Nile virus propagation: A multi-agent and climate sensitive tool for risk management in public health. International Journal of Health Geographics, 7, 35. https://doi.org/10.1186/1476-072X-7-35.
Régnière, J., St-Amant, R., Béchard, A. (2014). BioSIM 10—User’s manual. Natl Resour Canada, Can For Serv, Info Rep LAU-X-155. https://cfs.nrcan.gc.ca/publications?id=34818 ISBN:978-1-100-23464-9.
Madder, D. J., Surgeoner, G. A., & Helson, B. V. (1983). Number of generations, egg production, and developmental time of Culex pipiens and Culex restauns (Diptera: Culicidae) in southern Ontario. Journal of Medical Entomology, 20, 275–287.
Sauer, J. R., Hines, J. E., Fallon, K. L., Pardieck, D. J., Ziolkowski, J., Link, W. A. (2014). The North American breeding bird survey, results and analysis 1966–2013. Version 01302015 USGS Patuxent Wildlife Research Center, Laurel, MD. http://www.mbr-pwrc.usgs.gov/bbs/ Retrieved April 24, 2015, from http://www.webcitation.org/6lCuLOI3C.
Reeves, W. T. (1983). Particle systems—a technique for modeling a class of fuzzy objects. ACM Transactions on Graphics (TOG), 17, 359–375. https://doi.org/10.1145/964967.801167.
Funding
Funding was supported by The Teaching Reform Project of Higher Education of Zhejiang Province (No. jg20160374), The Teaching Reform Project of Higher Education of Zhejiang Province (No. jg20160374).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Nasrinpour, H.R., Friesen, M.R. & McLeod, R.D. Agent Based Modelling and West Nile Virus: A Survey. J. Med. Biol. Eng. 39, 178–183 (2019). https://doi.org/10.1007/s40846-018-0396-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40846-018-0396-8