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Individual-based modeling of tuberculosis in a user-friendly interface: Understanding the epidemiological role of population heterogeneity in a city
Prats, C.; Montañola-Sales, C.; Gilabert, JF; Valls, J.; Casanovas, J.; Vilaplana, C.; Cardona, P.J.; Lopez, D.
Type of activity
Frontiers in Microbiology Date of publication
© 2016 Prats, Montañola-Sales, Gilabert-Navarro, Valls, Casanovas-Garcia, Vilaplana, Cardona and López. For millennia tuberculosis (TB) has shown a successful strategy to survive, making it one of the world's deadliest infectious diseases. This resilient behavior is based not only on remaining hidden in most of the infected population, but also by showing slow evolution in most sick people. The course of the disease within a population is highly related to its heterogeneity. Thus, classic epi...
Prats, C., Montañola-Sales, C., Gilabert, JF, Valls, J., Casanovas, J., Vilaplana, C., Cardona, P.J., Lopez, D. Individual-based modeling of tuberculosis in a user-friendly interface: Understanding the epidemiological role of population heterogeneity in a city. "Frontiers in Microbiology", 01 Gener 2016, vol. 6:1564.
Contact tracing, Diagnosis delay, Epidemiology, HIV-tuberculosis, Immigrant, Individual-based model, Risk factors, Tuberculosis
Group of research
BIOCOM-SC - Computational Biology and Complex Systems Group IMP - Information Modelling and Processing inLab FIB