# `calculate.DALY`

Calculate the DALY population run on EMOD. DALY stands for Disability Adjusted Life Years. It is a measure of years lost
 due to a disease - in this case, HIV. It is adjusted for the disability of living with the disease. By default, living
 with untreated HIV has a weight of 0.3 (or a year with HIV is worth 70 % of a healthy year). Living under ART treatment is given 
 a weight of 0.1. We also discount future years of DALY. By default, each future year is discounted a compounding 3 %. For example, 
 by the 10th year, we the DALY will be multiplied by 0.97^10.


## Description

Calculate the DALY population run on EMOD. DALY stands for Disability Adjusted Life Years. It is a measure of years lost
 due to a disease - in this case, HIV. It is adjusted for the disability of living with the disease. By default, living
 with untreated HIV has a weight of 0.3 (or a year with HIV is worth 70 % of a healthy year). Living under ART treatment is given 
 a weight of 0.1. We also discount future years of DALY. By default, each future year is discounted a compounding 3 %. For example, 
 by the 10th year, we the DALY will be multiplied by 0.97^10.


## Usage

```r
calculate.DALY(
  data,
  infected_weight = 0.274,
  art_weight = 0.078,
  discount_start_year = 2023,
  discount_percent = 0.03,
  life_expectancy = 80
)
```


## Arguments

Argument      |Description
------------- |----------------
`data`     |     A tibble returned from calculate.pop_scaling_factor, which was passed data from read.simulation.results(..., stratify_columns = c("Year", "Age"), aggregate_columns = c("Died_from_HIV", "Infected", "On_ART")).
`infected_weight`     |     The disability weight for being infected with HIV, but without treatment (default 0.274)
`art_weight`     |     The disability weight for being infected with HIV, but on ART (default 0.1)
`discount_start_year`     |     The year in which the DALY starts becoming reduced for being in the future
`discount_percent`     |     The compounding percent to reduce DALY each year in the future


## Value

A tibble with columns year, daly, and daly_future_discounted