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/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 paramet...
This project analyses the tuberculosis (TB) epidemic mathematically using compartmental modelling ap...
Despite the enormous progress in prevention and treatment, tuberculosis remains a leading cause of d...
Abstract. Incomplete treatment of patients with infectious tuberculosis (TB) may not only lead to re...
Mathematical models for the population dynamics of de novo resistant Mycobacterium tuberculosis with...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Despite the availability of effective t...
Tuberculosis (TB) is a fatal airborne disease that affects one-third of the world’s population and p...
A tuberculosis model which incorporates treatment of infectives and chemoprophylaxis is presented. T...
A two strain tuberculosis model with treatment which allows TB patients with the drug sensitive of s...
In this work we present an agent-based model for the spread of tuberculosis where the individuals ca...
International audienceIn this paper, we investigate the effect of the emergence of TB drug-resistant...
Tuberculosis has remained the principal cause of mortality worldwide, and one of the major sources o...
Tuberculosis is a major health problem that contributes significantly to infectious disease mortalit...
In this thesis, the design and analysis of compartmental deterministic models for the transmission d...
A two-strain tuberculosis (TB) transmission model incorporating antibiotic-generated TB resistant st...
Tuberculosis, an airborne disease affecting almost a third of the world?s population remains one of ...
This project analyses the tuberculosis (TB) epidemic mathematically using compartmental modelling ap...
Despite the enormous progress in prevention and treatment, tuberculosis remains a leading cause of d...
Abstract. Incomplete treatment of patients with infectious tuberculosis (TB) may not only lead to re...
Mathematical models for the population dynamics of de novo resistant Mycobacterium tuberculosis with...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Despite the availability of effective t...
Tuberculosis (TB) is a fatal airborne disease that affects one-third of the world’s population and p...
A tuberculosis model which incorporates treatment of infectives and chemoprophylaxis is presented. T...
A two strain tuberculosis model with treatment which allows TB patients with the drug sensitive of s...
In this work we present an agent-based model for the spread of tuberculosis where the individuals ca...
International audienceIn this paper, we investigate the effect of the emergence of TB drug-resistant...
Tuberculosis has remained the principal cause of mortality worldwide, and one of the major sources o...
Tuberculosis is a major health problem that contributes significantly to infectious disease mortalit...
In this thesis, the design and analysis of compartmental deterministic models for the transmission d...
A two-strain tuberculosis (TB) transmission model incorporating antibiotic-generated TB resistant st...
Tuberculosis, an airborne disease affecting almost a third of the world?s population remains one of ...
This project analyses the tuberculosis (TB) epidemic mathematically using compartmental modelling ap...
Despite the enormous progress in prevention and treatment, tuberculosis remains a leading cause of d...
Abstract. Incomplete treatment of patients with infectious tuberculosis (TB) may not only lead to re...