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Table 2 Overview of case characteristics and detection delays across different age groups, sex and leprosy subtype for individuals in the PEP4LEP and Global datasets

From: Establishing a standard method for analysing case detection delay in leprosy using a Bayesian modelling approach

Characteristic

Data source

PEP4LEP

Global

N (%)

Case detection delay (months)

N (%)

Case detection delay (months)

Arithmetic mean

Geometric meana

Median

Arithmetic mean

Geometric meana

Median

Age group

 0‒20

20 (11.0)

22.3

16.6

17.5

3 (3.4)

24.7

17.9

20.0

 21‒40

91 (50.3)

22.8

17.7

18.0

37 (42.5)

21.6

11.8

12.0

 41‒60

48 (26.5)

30.7

17.1

18.0

19 (21.8)

35.2

21.4

24.0

  > 60

22 (12.2)

31.4

24.9

27.5

28 (32.2)

39.9

12.4

12.0

Sex

 Male

116 (64.1)

24.7

17.8

18.0

60 (69.8)

29.7

13.1

12.5

 Female

65 (35.9)

28.0

18.9

18.0

26 (30.2)

32.8

16.0

24.0

Leprosy subtype

 PB

28 (15.5)

18.9

13.7

12.5

21 (24.7)

16.0

8.6

17.0

 MB

153 (84.5)

27.1

19.1

20.0

64 (75.3)

35.3

16.1

13.5

  1. PB Paucibacillary, MB Multibacillary, PEP4LEP post exposure prophylaxis for leprosy
  2. aGeometric mean of non-zero values (number of zero values in datasets: PEP4LEP = 1, Global = 2). MB Multibacillary, PB Paucibacillary, PEP4LEP Post exposure prophylaxis for leprosy