Skip to main content

Table 6 Calculation of inflation factors for Strategy 3

From: Estimating the burden of pediatric HIV in an ‘A’ category district in India: an epidemiological study

Sl. No.

Parameter

Total

1

Population, Belgaum district, 2001

4,207,264

2

Population, Belgaum district, 2011

4,779,661

3

Annual Growth Rate

0.012756

4

Projected population, Belgaum district, 2014

4,966,110

5

The proportion of 0–14 years population, Belgaum district, 2014

0.285874

6

Estimated 0–14 year population, Belgaum district, 2014

1,419,682

7

Assuming 10% of children as morbid, estimated no. of children experiencing any morbidity in the district in a year

141,968

8

Assuming 70% of these morbidities/clinic visits are unique children, expected no. of unique morbid children in the district in a year (=(7)*0.7

99,378

9

During the study period (127 days), a total no. of children reached at HCFs for any morbidity

33,342

10

During the study period (127 days), no. of children screened at HCFs (127 days)

24,342

11

Assuming 70% of these morbidities/clinic visits are unique children, expected no. of unique morbid children in the district in a year (=(10)*0.7

17,039

12

No. of children not screened (even if they reached at HCF in 127 days + had the screening been done for the remaining 238 days in a year) (=(8)–(10))

82,339

13

No. of children screened positive (sick children) and enrolled in the study

527

14

No. of unique children screened positive (sick children) and enrolled in the study

515

15

No. of enrolled sick children tested for HIV in the study

509

16

No. of unique enrolled sick children tested for HIV in the study

497

17

No. of tested sick children found positive in the study

97

18

No. of unique tested sick children found positive in the study

89

19

No. of unique newly detected unique HIV positive children among (18)

11

20

Percent of new unique positive children identified among all unique screened positive (sick children) (=(19)/(16))

0.022

21

If all children were tested, new positive children that could be identified from the study (=(14)*(20))

11.40

22

Estimated unique children who would have been identified as sick among the unscreened (=[(14)/(11)]*(12))

2488.7

23

Estimated no. of unique positive children among the unscreened (=(20)*(22))

55.1

24

Total new unique positive children that in the district in a year (=(23) + (21))

67

25

At 95% Confidence Interval of prevalence to the estimate

27–103