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

Cristina Montanola-Sales, Joan Francesc Gilabert-Navarro, Josep Casanovas-Garcia, Clara Prats, Daniel Lopez, Joaquim Valls, Pere Joan Cardona, Cristina Vilaplana

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

9 Citas (Scopus)

Resumen

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. We present an agent-based model for tuberculosis epidemics in Barcelona, which has an observatory on this disease. Our model considers high heterogeneity within the population, including risk factors for developing an active disease, and it tracks the individual behavior once diagnosed. We incorporated the immunodeficiency and smoking/alcoholism, as well as the individual's origin (foreigner or not) for its contagion and infection as risks factors. We implemented the model in Netlogo, a useful tool for interaction with physicians. However, the platform has some computational limitations, and we propose a solution to overcome them.

Idioma originalInglés
Título de la publicación alojada2015 Winter Simulation Conference, WSC 2015
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1295-1306
Número de páginas12
ISBN (versión digital)9781467397438
DOI
EstadoPublicada - 16 feb 2016
Publicado de forma externa
EventoWinter Simulation Conference, WSC 2015 - Huntington Beach, Estados Unidos
Duración: 6 dic 20159 dic 2015

Serie de la publicación

NombreProceedings - Winter Simulation Conference
Volumen2016-February
ISSN (versión impresa)0891-7736

Conferencia

ConferenciaWinter Simulation Conference, WSC 2015
País/TerritorioEstados Unidos
CiudadHuntington Beach
Período6/12/159/12/15

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