Inferences on the Acquisition of Multi-Drug Resistance in Mycobacterium Tuberculosis Using Molecular Epidemiological Data

Authored by: Guilherme S. Rodrigues , Andrew R. Francis , S. A. Sisson , Mark M. Tanaka

Handbook of Approximate Bayesian Computation

Print publication date:  August  2018
Online publication date:  August  2018

Print ISBN: 9781439881507
eBook ISBN: 9781315117195
Adobe ISBN:

10.1201/9781315117195-16

 Download Chapter

 

Abstract

Tuberculosis (TB) is a lung disease caused by the bacterium Mycobacterium tuberculosis, which kills around 1.5 million people each year and remains a serious challenge for global public health (WHO, 2015). Antibiotic drugs for treating TB have been available since the mid twentieth century, and currently implemented strategies for TB control rely on the efficacy of these drugs. Treatment of TB involves combination therapy – in which multiple drugs are administered together in part to improve killing efficacy. The ‘first- line’ drugs used in combination to treat tuberculosis are rifampicin, isoniazid, pyrazinamide, ethambutol, and streptomycin.

 Cite
Search for more...
Back to top

Use of cookies on this website

We are using cookies to provide statistics that help us give you the best experience of our site. You can find out more in our Privacy Policy. By continuing to use the site you are agreeing to our use of cookies.