Impact of treatment length and treatment default on drug-resistant tuberculosis epidemiology
Last modified: 2014-03-31
Abstract
Tuberculosis (TB) is a leading cause of human infectious mortality. TB default is a relevant problem for this scenario reducing treatment success and increasing the risk of resistant TB. In this work we analyse the relation of treatment default to treatment length along with its consequence on the disease spreading. We find that the epidemiological benefits of shorter treatment regimens are tightly associated with increases in treatment compliance and depend on the epidemiological background. We analyse its consequences for drug-resistant tuberculosis epidemiology.
Keywords
tuberculosis, treatment length, tratment default, reinfection, mathematical modeling