ains of Multi-Drug Resistant Tuberculosis (MDR TB) are continuously evolving, hampering TB treatment programs in many developing nations. To better treat the TB on a local scale in the Tugela Ferry region, South Africa, Sanjay Basu and his colleagues have developed a complex new mathematical model to predict TB drug resistance in populations. It was built off previous TB models, and enhanced from there with data collected from the target region.Their recommendations included rapid resistance testing and isolation facilities, to swiftly determine how fast the MDR TB was mutating, to observe gene flow in the population, and prevent further spread of the drug-resistant bacteria by isolating infected patients.
This new model will assist greatly in the fight against TB in the region, by observing and predicting drug resistance mutations amongst the TB-infected population.
Original article at:
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Post by Gerard Forrest (s4205864)
