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Individual-based modeling of tuberculosis in a user-friendly interface: Understanding the epidemiological role of population heterogeneity in a city

Author
Prats, C.; Montañola-Sales, C.; Gilabert, JF; Valls, J.; Casanovas, J.; Vilaplana, C.; Cardona, P.J.; Lopez, D.
Type of activity
Journal article
Journal
Frontiers in Microbiology
Date of publication
2016-01-01
Volume
6:1564
DOI
https://doi.org/10.3389/fmicb.2015.01564 Open in new window
Repository
http://hdl.handle.net/2117/85615 Open in new window
URL
http://journal.frontiersin.org/article/10.3389/fmicb.2015.01564/full?utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Microbiology&id=169695 Open in new window
Abstract
© 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...
Citation
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.
Keywords
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

Participants

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