Modeling tuberculosis in Barcelona. A solution to speed-up agent-based simulations

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/80620

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Universitat Politècnica de Catalunya. Departament de Física
dc.contributor	Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
dc.contributor	Universitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos
dc.contributor.author	Montañola Sales, Cristina
dc.contributor.author	Gilabert Navarro, Joan-Francesc
dc.contributor.author	Casanovas Garcia, Josep
dc.contributor.author	Prats Soler, Clara
dc.contributor.author	López Codina, Daniel
dc.contributor.author	Valls Ribas, Joaquim
dc.contributor.author	Cardona Iglesias, Pere Joan
dc.contributor.author	Vilaplana, Cristina
dc.date	2015
dc.identifier.citation	Montañola, C., Gilabert, JF, Casanovas, J., Prats, C., Lopez, D., Valls, J., Cardona, P.J., Vilaplana, C. Modeling tuberculosis in Barcelona. A solution to speed-up agent-based simulations. A: Winter Simulation Conference. "Proceedings of the 2015 Winter Simulation Conference". Huntington Beach, California: 2015, p. 1295-1306.
dc.identifier.citation	978-1-4673-9742-1
dc.identifier.uri	http://hdl.handle.net/2117/80620
dc.language.iso	eng
dc.relation	http://www.ieee.org
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Ciències de la salut::Medicina
dc.subject	Biomedicine
dc.subject	Tuberculosis
dc.subject	Medicina
dc.title	Modeling tuberculosis in Barcelona. A solution to speed-up agent-based simulations
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Tuberculosis remains one of the world’s deadliest infectious diseases. About one third of the world’s population is infected with tuberculosis bacteria. Understanding the dynamics of transmission at different spatial scales is critical to progress in its control.

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