Abstract
With the globalization, several free trade areas have been and are being created all around the world. They usually have positive consequences for increasing economic exchanges, but negative ecological or health side effects. These negative effects are difficult to predict or even to understand due to the complexity of the system and of the number of involved processes. In this article, we focus on the Southeast Asia free trade area (the ASEAN) and specifically in the East-West economic corridor. A significant correlation has been observed in this area between the corridor opening and dengue fever cases, without being able to establish a causality relationship. We choose to tackle this issue by building an agent-based geographically explicit model. We propose an approach coupling dengue fever dynamics, climate data, economic mobility and health policies, following a design methodology decomposing these processes in sub-models and linking them to make one integrated model. In addition, we propose a way to deal with lack of data in the modeling process. Our simulation results show that there is influence of the increase in mobility and application of different control policies on the increase of dengue cases.
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Notes
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We choose to represent the diffusion process through mosquitoes exchanges in order to stay simple and more flexible if we want to change the simulation step length: in particular it avoids us to take into account commuting process when simulation step length is lower than 1 day and we want to represent spread diffusion through human migrations.
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The Tam Ðao Summer School in Social Sciences (JTD) www.tamdaoconf.com/.
References
Banos, A., Corson, N., Gaudou, B., Laperrière, V., Coyrehourcq, S.R.: Coupling micro and macro dynamics models on networks: application to disease spread. In: Gaudou, B., Sichman, J.S. (eds.) MABS 2015. LNCS, vol. 9568, pp. 19–33. Springer, Cham (2016). doi:10.1007/978-3-319-31447-1_2
Bhatt, S., Gething, P.W., Brady, O.J., Messina, J.P., Farlow, A.W., Moyes, C.L., Myers, M.F.: The global distribution and burden of dengue. Nature (2013)
Gaudou, B., et al.: The MAELIA multi-agent platform for integrated analysis of interactions between agricultural land-use and low-water management strategies. In: Alam, S.J., Parunak, H.V.D. (eds.) MABS 2013. LNCS, vol. 8235, pp. 85–100. Springer, Heidelberg (2014). doi:10.1007/978-3-642-54783-6_6
Grignard, A., Taillandier, P., Gaudou, B., Vo, D.A., Huynh, N.Q., Drogoul, A.: GAMA 1.6: advancing the art of complex agent-based modeling and simulation. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds.) PRIMA 2013. LNCS (LNAI), vol. 8291, pp. 117–131. Springer, Heidelberg (2013). doi:10.1007/978-3-642-44927-7_9
Grimm, V., Berger, U., DeAngelis, D.L., Polhill, J.G., Giske, J., Railsback, S.F.: The ODD protocol: a review and first update. Ecol. Model. 221(23), 2760–2768 (2010)
Lloyd, L.S., Beaver, C., Seng, C.M.: Managing regional public goods for health community-based dengue vector control. Technical report, Asian Development Bank, World Health Organization (2013)
Malavige, G., Fernando, S., Fernando, D., Seneviratne, S.: Dengue viral infections. Postgrad. Med. J. 80(948), 588–601 (2004)
Manore, C.A., Hickmann, K.S., Hyman, J.M., Foppa, I.M., Davis, J.K., Wesson, D.M., Mores, C.N.: A network-patch methodology for adapting agent-based models for directly transmitted disease to mosquito-borne disease. J. Biol. Dyn. (2015)
Murray, N.E.A., Quam, M.B., Wilder-Smith, A.: Epidemiology of dengue: past, present and future prospects. Clin. Epidemiol. 5, 299–309 (2013)
Parham, P., Michael, E.: Modeling the effects of weather and climate change on malaria transmission. Environ. Health Perspect. 118(5), 620–626 (2010)
Shepard, D.S., Undurraga, E.A., Halasa, Y.A.: Economic and disease burden of dengue in southeast asia. PLoS Negl. Trop. Dis. 7(2), e2055 (2013)
The Centre for Logistics Research in Thammasat University. The GMS east west economic corridor logistics benchmark study. Technical report, Thammasat University (2016)
Wilensky, U., Evanston, I.: Netlogo. Center for connected learning and computer based modeling. Technical report, Northwestern University (1999)
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This work was part of and supported by the Tam Dao Summer School in Social Sciences (JTD). Authors want to thank the three anonymous reviewers for their helpful comments.
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Philippon, D. et al. (2017). Exploring Trade and Health Policies Influence on Dengue Spread with an Agent-Based Model. In: Nardin, L., Antunes, L. (eds) Multi-Agent Based Simulation XVII. MABS 2016. Lecture Notes in Computer Science(), vol 10399. Springer, Cham. https://doi.org/10.1007/978-3-319-67477-3_6
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