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dc.contributor.authorde Espindola, Aquino L.
dc.contributor.authorGirardi, Daniel
dc.contributor.authorPenna, T. J. P.
dc.contributor.authorBauch, Chris T.
dc.contributor.authorTroca Cabella, Brenno C.
dc.contributor.authorMartinez, Alexandre Souto 12:30:10 (GMT) 12:30:10 (GMT)
dc.descriptionThe final publication is available at Elsevier via © 2014. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
dc.description.abstractA 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.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC)en
dc.description.sponsorshipCanadian Institutes of Health Research (CIHR)en
dc.description.sponsorshipBrazilian agency CNPq [305738/2010-0, 127151/2012-5]en
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.subjectComplex systemsen
dc.subjectWithin-host modelen
dc.titleAn Antibiotic Protocol To Minimize Emergence Of Drug-Resistant Tuberculosisen
dcterms.bibliographicCitationDe Espíndola, A. L., Girardi, D., Penna, T. J. P., Bauch, C. T., Troca Cabella, B. C., & Martinez, A. S. (2014). An antibiotic protocol to minimize emergence of drug-resistant tuberculosis. Physica A: Statistical Mechanics and Its Applications, 400, 80–92. doi:10.1016/j.physa.2013.12.039en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Applied Mathematicsen

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