The discovery of high prevalences of antibiotic resistance in some pathogen
s, in some parts of the world, has provoked fears of a widespread loss of d
rug efficacy. Here, we use a mathematical model to investigate the evolutio
n of resistance to four major anti-tuberculosis drugs (isoniazid, rifampici
n, ethambutol and streptomycin) in 47 sites around the world. The model pro
vides a new method of estimating the relative risk of treatment failure for
patients carrying drug-resistant strains and the proportion of patients wh
o develop resistance after failing treatment. Using estimates of these two
quantities together with other published data, we reconstructed the epidemi
c spread of isoniazid resistance over the past 50 years. The predicted medi
an prevalence of resistance among new cases today was 7.0% (range 0.9-64.3%
), close to the 6.3% (range 0-28.1%) observed. Predicted and observed preva
lences of resistance to isoniazid plus rifampicin (multidrug-resistant or M
DR-TB) after 30 years of combined drug use were also similar, 0.9% (0.1-5.9
%) and 1.0% (range 0-14.1%), respectively. With current data, and under pre
vailing treatment: practices, it appears that MDR-TB will remain a localize
d problem, rather than becoming a global obstacle to tuberculosis control.
To substantiate this result, further measurements are needed of the relativ
e fitness of drug-resistant strains.