multiexpose: Aggregate health impacts from multiple exposures

In healthiar: Quantifying and Monetizing Health Impacts Attributable to Exposure

Aggregate health impacts from multiple exposures

Description

This function aggregates health impacts from multiple exposures to environmental stressors.

Usage

multiexpose(
  output_attribute_exp_1,
  output_attribute_exp_2,
  exp_name_1,
  exp_name_2,
  approach_multiexposure = "additive"
)

Arguments

output_attribute_exp_1, output_attribute_exp_2	Output of attribute() for exposure 1 and 2, respectively. Baseline health data and population must be identical in outputs 1 and 2.
exp_name_1, exp_name_2	String referring to the name of the environmental exposures 1 and 2
approach_multiexposure	String specifying the multiple exposures approach to be used in the assessment. Options: "additive" (default), "multiplicative" or "combined".

Details

Methodology

This function can add up the attributable health impacts from correlated exposures applying one of the following methods \insertCiteStrak2024_reporthealthiar:

• Additive \insertCiteSteenland2006-ehealthiar

• Multiplicative \insertCiteJerrett2013-ouphealthiar

• Combined \insertCiteSteenland2006-ehealthiar

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

• Two correlated exposures

Value

This function returns a list containing:

1) health_main (tibble) containing the main results;

• impact (numeric column) attributable health burden/impact

• pop_fraction (numeric column) population attributable fraction; only applicable in relative risk assessments

• And many more

2) health_detailed (list) containing detailed (and interim) results.

• input_args (list) containing all the argument inputs used in the background

• input_table (tibble) containing the inputs after preparation

• results_raw (tibble) containing results for all combinations of input (geo units, uncertainty, age and sex specific data...)

• results_by_... (tibble) containing results stratified by each geographic unit, age or sex.

Author(s)

Alberto Castro & Axel Luyten

References

\insertAllCited

See Also

• Upstream: attribute_health, attribute_lifetable

Examples

# Goal: determine aggregated health impacts from multiple exposures
# Step 1: create assessment with exposure 1
output_attribute_exp_1 <- attribute_health(
  erf_shape = "log_linear",
  rr_central = 1.369,
  rr_increment = 10,
  exp_central = 8.85,
  cutoff_central = 5,
  bhd_central = 30747
)
output_attribute_exp_1$health_main$impact
# Step 2: create assessment with exposure 2
output_attribute_exp_2 <- attribute_mod(
  output_attribute = output_attribute_exp_1,
  exp_central = 10.9,
  rr_central = 1.031
)
output_attribute_exp_2$health_main$impact
# Step 3: aggregate impacts of the two assessments
results <- multiexpose(
  output_attribute_exp_1 = output_attribute_exp_1,
  output_attribute_exp_2 = output_attribute_exp_2,
  exp_name_1 = "pm2.5",
  exp_name_2 = "no2",
  approach_multiexposure = "multiplicative"
)
results$health_main$impact

healthiar documentation built on March 12, 2026, 5:07 p.m.