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An antibiotic protocol to minimize emergence of drug-resistant tuberculosis

Author

Listed:
  • de Espíndola, Aquino L.
  • Girardi, Daniel
  • Penna, T.J.P.
  • Bauch, Chris T.
  • Troca Cabella, Brenno C.
  • Martinez, Alexandre Souto

Abstract

A within-host model of the spread of tuberculosis is proposed here where the emergence of drug resistance and bacterial dormancy are simultaneously combined. We consider both sensitive and resistant strains of tuberculosis pathogens as well as a dormant state of these bacteria. The dynamics of the within-host system is modeled by a set of coupled differential equations which are numerically solved to find a relation between the within-host bacterial populations and the host health states. The values of the parameters were taken from the current literature when available; a sensitivity analysis was performed for the others. Antibiotic treatment for standard, intermittent and oscillating intermittent protocols is analyzed for different conditions. Our results suggest that the oscillating protocol is the most effective one, that would imply a lower treatment cost.

Suggested Citation

  • de Espíndola, Aquino L. & Girardi, Daniel & Penna, T.J.P. & Bauch, Chris T. & Troca Cabella, Brenno C. & Martinez, Alexandre Souto, 2014. "An antibiotic protocol to minimize emergence of drug-resistant tuberculosis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 80-92.
    • Handle: RePEc:eee:phsmap:v:400:y:2014:i:c:p:80-92
    DOI: 10.1016/j.physa.2013.12.039
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    References listed on IDEAS

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    1. Thomas House & Matt J Keeling, 2010. "The Impact of Contact Tracing in Clustered Populations," PLOS Computational Biology, Public Library of Science, vol. 6(3), pages 1-9, March.
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