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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

9 Cites (Scopus)

Resum

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 originalAnglès
Títol de la publicació2015 Winter Simulation Conference, WSC 2015
EditorInstitute of Electrical and Electronics Engineers Inc.
Pàgines1295-1306
Nombre de pàgines12
ISBN (electrònic)9781467397438
DOIs
Estat de la publicacióPublicada - 16 de febr. 2016
Publicat externament
EsdevenimentWinter Simulation Conference, WSC 2015 - Huntington Beach, United States
Durada: 6 de des. 20159 de des. 2015

Sèrie de publicacions

NomProceedings - Winter Simulation Conference
Volum2016-February
ISSN (imprès)0891-7736

Conferència

ConferènciaWinter Simulation Conference, WSC 2015
País/TerritoriUnited States
CiutatHuntington Beach
Període6/12/159/12/15

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