Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting

DOI10.1016/J.JTBI.2011.08.032zbMath1397.92635OpenAlexW2090927886WikidataQ38940389 ScholiaQ38940389MaRDI QIDQ1786546

Marco Ajelli, Cesare Furlanello, Giorgio Guzzetta, Stefano Merler, Denise E. Kirschner, Zhen Hua Yang

Publication date: 24 September 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3208139

zbMATH Keywords

individual based modelsepidemiological modelingendemic diseasescontact network investigationlatent TB infection

Mathematics Subject Classification ID

Epidemiology (92D30) Mathematical geography and demography (91D20)

Related Items (7)

Mathematical analysis of a two-strain disease model with amplification ⋮ A framework for network-based epidemiological modeling of tuberculosis dynamics using synthetic datasets ⋮ A structured Markov chain model to investigate the effects of pre-exposure vaccines in tuberculosis control ⋮ Evaluating vaccination strategies for tuberculosis in endemic and non-endemic settings ⋮ Conflicts of interest during contact investigations: a game-theoretic analysis ⋮ Structural identifiability analysis of age-structured PDE epidemic models ⋮ A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes

Cites Work

• An individual-based model of hepatitis A transmission
• A methodology for performing global uncertainty and sensitivity analysis in systems biology
• Comparing epidemic tuberculosis in demographically distinct heterogeneous populations
• On treatment of tuberculosis in heterogeneous populations
• Mathematical modelling of tuberculosis epidemics
• The Mathematics of Infectious Diseases

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