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Table 2 Services provided by public-funded HIV prevention interventions in Andhra Pradesh, their economic cost and the estimated HIV cases averted in the 2005-2006 fiscal year [4].

From: Cost-effectiveness of HIV prevention interventions in Andhra Pradesh state of India

Intervention

Number of persons served*

Total programme cost INR (US$)†

Estimated number of HIV infections averted‡

   

Point estimate

Uncertainty range

VCT centres

261,421

38,552,074 (870,840)

1,310

327 - 2,800

PPTCT clinics

217,274

21,496,098 (485,568)

592

463 - 747

STI clinics

116,735

84,656,539 (1,912, 278)

2,315

1,705 - 3,064

Blood banks

107,912

7,570,027 (170,997)

1,755

1,431 - 2,082

Women SW programmes

40,732

57,915,975 (1,308,244)

1,330

629 - 2,164

MSM programmes

18,270

6,268,799 (141,604)

611

295 - 930

Trucker programmes

494,354

54,529,010 (1,231,737)

681

0 - 1,256

Composite programmes

147,194

39,122,674 (883,729)

250

65 - 417

Workplace programmes

19,855

7,713,881 (174,246)

22

7 - 35

Migrant labourer programmes

113,356

19,337,166 (436,801)

202

76 - 320

Street children programmes

46,892

8,802,798 (198,843)

38

0 - 130

Prisoner programmes

146,599

16,358,548 (369,518)

46

0 - 211

IEC for general public

33,000,000

234,846,584 (5,304,870)

498

0 - 4,290

Condom promotion programme

190,599

11,648,524 (263,125)

39

0 - 128

  1. *As reported for the public-funded programmes in the 2005-2006 fiscal year; for blood banks the number is the blood units screened; IEC estimate based on coverage of the 15-49 years old age group in Andhra Pradesh with HIV mass media campaigns through television, radio, print media and public events.
  2. †INR is India Rupee; 1 US$ = INR 44.27 in the 2005-2006 fiscal year [15].
  3. ‡Point estimate calculated from HIV infections averted per unit service multiplied by the total number of persons served; uncertainty range calculated from the 5th and 95th percentile values for HIV infections averted per unit service obtained from 100,000 Monte Carlo simulations with @Risk software using random values of input variables [4].