Modeling tuberculosis transmission in urban cities through agent-based simulation: the case of Barcelona

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Document typeConference lecture
Defense date2017
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
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. 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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