TY - GEN
T1 - Modeling tuberculosis in Barcelona. A solution to speed-up agent-based simulations
AU - Montanola-Sales, Cristina
AU - Gilabert-Navarro, Joan Francesc
AU - Casanovas-Garcia, Josep
AU - Prats, Clara
AU - Lopez, Daniel
AU - Valls, Joaquim
AU - Cardona, Pere Joan
AU - Vilaplana, Cristina
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/16
Y1 - 2016/2/16
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84957979340&partnerID=8YFLogxK
U2 - 10.1109/WSC.2015.7408254
DO - 10.1109/WSC.2015.7408254
M3 - Conference contribution
AN - SCOPUS:84957979340
T3 - Proceedings - Winter Simulation Conference
SP - 1295
EP - 1306
BT - 2015 Winter Simulation Conference, WSC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Winter Simulation Conference, WSC 2015
Y2 - 6 December 2015 through 9 December 2015
ER -