Understanding the underlying prevalence of katG and inhA mutations, coupled with understanding the local incidence of TB and DR-TB, can better inform local programs to implement different diagnostic algorithms, to prescribe more effective treatments for TB disease or presumed sub-clinical TB infection, and to maintain appropriate drug stockpiles. Here, INHA is linked to tuberculosis.