Modeling tuberculosis transmission in urban cities through agent-based simulation: the case of Barcelona
Document typeConference lecture
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
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.
CitationMontañola-Sales, C., Prats, C., Cardona, PJ., Gilabert, JF., Lopez, D., Vilaplana, C., Casanovas, J., Valls, J. Modeling tuberculosis transmission in urban cities through agent-based simulation: the case of Barcelona. A: ACM Celebration of Women in Computing. "womENcourage 2017: accepted posters 2017". New York: Association for Computing Machinery (ACM), 2017, p. 1.
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