dhsage (version 0.1.0)

Whipple's index: Whipple's index calculation for reproductive-age females

Description

The function provides the Whipple's index of females 15 to 49 years old who are in reproductive age with data quality.

Usage

heaping(x, a, b)

Value

heaping computes the Whipple's index with the quality of age reporting.

Arguments

x

a data vector of females, aged 15 to 49 year.

a

Choose the starting age for the calculation of Whipple's index.

b

Choose the ending age for the calculation of Whipple's index.

Author

Muhammad Imran

R implementation and documentation: Muhammad Imran .

Details

Whipple's indes can be computed by the following formula $$WI=\left(\frac{P_{25}+P_{30}+P_{35}+\cdots\cdots+P_{60}}{P_{23}+P_{24}+P_{25}+\cdots\cdots+P_{62}}\right)\times500$$ where P represents the population of reported age in completed year. There are 5 categories for the index value, ranging from very rough to highly accurate. Data is classified as being very rough (if WI > 175), rough (125 < WI < 175), approximate (110 < WI < 125), accurate (105 < WI < 110) and highly accurate (WI < 105).

References

Yadav, A., Vishwakarma, M., and Chauhan, S. (2020). The quality of age data: Comparison between two recent Indian censuses 2001–2011. Clinical Epidemiology and Global Health, 8(2), 371-376.

See Also

afgan_2015, india_2015

Examples

x <- armen_2015
# starting age 23 and ending age 62
heaping(x, 23, 62)
# starting age 15 and ending age 49
heaping(x, 23, 62)