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Table 1 Cost estimate (USD) per algorithm and per population for 3 years

From: A cost–benefit algorithm for rapid diagnosis of tuberculosis and rifampicin resistance detection during mass screening campaigns

 

Cost estimate (USD) per algorithm and per population

 
 

Prisons

Villages

 

Year 1

Year 2

Year 3

Year 1

Year 2

Year 3

Algorithm 1: Testing with Gene Xpert MTB/RIF

87591.21

74237.89

84089.58

26284.13

7547.75

11208.91

Algorithm 2: Initial testing with TB-LAMP followed by testing with Xpert MTB/RIF

87507.41

57287.24

64596.33

29944.11

5670.38

9049.94

Difference Cost between algorithm 2 and 1

83.80

16934.43

19474.59

− 3659.98

1877.36

2158.97