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

@article{Guzzetta2011ModelingST,
  title={Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting.},
  author={Giorgio Guzzetta and Marco Ajelli and Zhenhua Yang and Stefano Merler and Cesare Furlanello and Denise Kirschner},
  journal={Journal of theoretical biology},
  year={2011},
  volume={289},
  pages={197-205}
}
Evidence of preferential mixing through selected social routes has been suggested for the transmission of tuberculosis (TB) infection in low burden settings. A realistic modelization of these contact routes is needed to appropriately assess the impact of individually targeted control strategies, such as contact network investigation of index cases and treatment of latent TB infection (LTBI). We propose an age-structured, socio-demographic individual based model (IBM) with a realistic, time… CONTINUE READING
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