An Antibiotic Protocol To Minimize Emergence Of Drug-Resistant Tuberculosis
| dc.contributor.author | de Espindola, Aquino L. | |
| dc.contributor.author | Girardi, Daniel | |
| dc.contributor.author | Penna, T. J. P. | |
| dc.contributor.author | Bauch, Chris T. | |
| dc.contributor.author | Troca Cabella, Brenno C. | |
| dc.contributor.author | Martinez, Alexandre Souto | |
| dc.date.accessioned | 2018-09-21T12:30:10Z | |
| dc.date.available | 2018-09-21T12:30:10Z | |
| dc.date.issued | 2014-04-15 | |
| dc.description | The final publication is available at Elsevier via http://dx.doi.org/10.1016/j.physa.2013.12.039 © 2014. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.description.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. | en |
| dc.description.sponsorship | Natural Sciences and Engineering Research Council of Canada (NSERC) | en |
| dc.description.sponsorship | Canadian Institutes of Health Research (CIHR) | en |
| dc.description.sponsorship | Brazilian agency CNPq [305738/2010-0, 127151/2012-5] | en |
| dc.description.sponsorship | FAPERJ | en |
| dc.description.sponsorship | CAPES | en |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.physa.2013.12.039 | |
| dc.identifier.uri | http://hdl.handle.net/10012/13873 | |
| dc.language.iso | en | en |
| dc.publisher | Elsevier | en |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Complex systems | en |
| dc.subject | Within-host model | en |
| dc.subject | Epidemiology | en |
| dc.subject | Tuberculosis | en |
| dc.title | An Antibiotic Protocol To Minimize Emergence Of Drug-Resistant Tuberculosis | en |
| dc.type | Article | en |
| dcterms.bibliographicCitation | De 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.2013.12.039 | en |
| uws.contributor.affiliation1 | Faculty of Mathematics | en |
| uws.contributor.affiliation2 | Applied Mathematics | en |
| uws.peerReviewStatus | Reviewed | en |
| uws.scholarLevel | Faculty | en |
| uws.typeOfResource | Text | en |
| uws.typeOfResource | Text | en |