A two years simulation using a real data cellular automaton: A predictive case study with the schistosomiasis expansion process along the coastline of Brazil

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/24219

dc.contributor	Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear
dc.contributor	Universitat Politècnica de Catalunya. SC-SIMBIO - Sistemes complexos. Simulació discreta de materials i de sistemes biològics
dc.contributor.author	Albuquerque, Jones O.
dc.contributor.author	Bocanegra, Silvana
dc.contributor.author	Ferrer-Savall, Jordi
dc.contributor.author	López Codina, Daniel
dc.contributor.author	de Souza, Marco Antônio
dc.contributor.author	Souza Santos, Reinaldo
dc.contributor.author	Barbosa, Constança
dc.date	2013
dc.identifier.citation	Albuquerque, J. [et al.]. A two years simulation using a real data cellular automaton: A predictive case study with the schistosomiasis expansion process along the coastline of Brazil. "systema: connecting matter, life, culture and technology", 2013, vol. 1, núm. 3, p. 83-89.
dc.identifier.citation	2305-6991
dc.identifier.uri	http://hdl.handle.net/2117/24219
dc.language.iso	eng
dc.relation	http://www.systems-journal.eu/article/view/172
dc.rights	Attribution-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics
dc.subject	Cellular automata
dc.subject	esquistosomiasis modelització simulació
dc.subject	Autòmats cel·lulars
dc.subject	Compatibilitat electromagnètica -- Models matemàtics
dc.title	A two years simulation using a real data cellular automaton: A predictive case study with the schistosomiasis expansion process along the coastline of Brazil
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	This work presents a Cellular Automata model to characterize the social and environmental factors which contribute for the analysis of the expansion process of Schistosoma mansoni infection in Pernambuco - Brazil. The model has been experimented with a set of two years real data from a study area at North Coast of Pernambuco – Brazil. The main constraint equations, the modelling process and the results obtained until now with the simulating scenarios generated are presented here. The results identify, as in field works, endemic areas and human risk infection areas. Furthermore, predictive scenarios for a look ahead with a perspective into fifteen years are also presented.
dc.description.abstract	Peer Reviewed

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