A Brownian Agent approach for modeling and simulating the population dynamics of the schistosomiasis contagion
Abstract
Multiagent Simulations have been successfully employed in the studies of population behavior. We present a brownian agent approach for simulating the Schistosomiasis infection. Early results suggest that the proposed model describes relevant aspects of the infection conditions.
Keywords:
Simulation, schistosomiasis, brownian agents, contagion
References
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C. Linard, N. Poncon, D. Fontenille and E. F. Lambin. A multi-agent simulation to assess the risk of malaria re-emergence in southern France , Ecological Modelling 220 (2009) pp. 160–174.
F. Schweitzer. Brownian Agents and Active Particles : Collective Dynamics in the Natural and Social Sciences, Ed. Springer-Verlag, 2003 Berlin.
H. Hu, P. Gong, B. Xu. Spatially explicit agent-based modelling for schistosomiasis transmission: Human–environment interaction simulation and control strategy assessment. Epidemics 2 (2010) 49–65
V. Schall, C. L. Massara, M. J. Enk, H. S. Barros. Os Caminhos da Esquistossomose. Parte I Dentro do nosso corpo. Centro de Pesquisas René Rachou/Fiocruz. 2007. (Série Esquistossomose, 8).
J. Shin, Y. Park. Brownian agent-based technology forecasting. Technological Forecasting & Social Change 76 (2009) 1078–1091.
Published
2013-05-26
How to Cite
CAGNIN, Renato L.; GUILHERME, Ivan R.; GONÇALVES, Filipe Marcel F.; BALDASSIN, Alexandro.
A Brownian Agent approach for modeling and simulating the population dynamics of the schistosomiasis contagion. In: WORKSHOP-SCHOOL ON AGENTS, ENVIRONMENTS, AND APPLICATIONS (WESAAC), 7. , 2013, São Paulo/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 177-179.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2013.33195.
