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

Research output: Book chapterConference contributionpeer-review

9 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2015 Winter Simulation Conference, WSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages12
ISBN (Electronic)9781467397438
Publication statusPublished - 16 Feb 2016
Externally publishedYes
EventWinter Simulation Conference, WSC 2015 - Huntington Beach, United States
Duration: 6 Dec 20159 Dec 2015

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


ConferenceWinter Simulation Conference, WSC 2015
Country/TerritoryUnited States
CityHuntington Beach


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