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Convert multi-year life table to single year life table

Source: R/prepare_lifetable.R
prepare_lifetable.Rd

This function determines populations and deaths by one year age groups.

Usage

prepare_lifetable(age_group, population, bhd)

Arguments

age_group

Numeric vector referring to the first years of the age groups. E.g. c(0, 20, 40, 60) means [0, 20), [20, 40), [40, 60), [60, )

population

Numeric vector referring to mid-year populations by age group.

bhd

Numeric vector referring to the baseline health data (deaths) by age group.

Value

This function returns a tibble containing the columns:

  • population_for_attribute (numeric) containing population values for each age

  • bhd_for_attribute (numeric) containing baseline health data values for each age

  • and more columns containing input data or results

Details

Methodology

The conversion follows the methodology of the WHO tool. See the AirQ+ manual "Health impact assessment of air pollution: AirQ+ life table manual" for guidance on how to convert larger age groups to 1 year age groups, section "Estimation of yearly values" (WHO 2020) .

Detailed information about the methodology (including equations) is available in the package vignette. More specifically, see chapters:

References

WHO (2020). “Health impact assessment of air pollution: AirQ+ life table manual.” World Health Organization - Regional Office for Europe. https://www.who.int/europe/publications/i/item/WHO-EURO-2020-1559-41310-56212.

See also

Author

Alberto Castro & Axel Luyten

Examples

# Goal: Convert 5-year population and death data into single year life table
results <- prepare_lifetable(
  age_group = c(0, 5, 10, 15),
  population = c(3387900, 3401300, 3212300, 3026100),
  bhd = c(4727, 472, 557, 1323)
)