dir.ingested: dir.ingested
In HumanExposure/SHEDSDevel: The SHEDS-HT model for estimating human exposure to chemicals.
Description
Usage
Arguments
Details
Value
Author(s)
Description
Models the ingestion exposure scenario for each theoretical person.
Usage
1
dir.ingested(sd, cd)
Arguments
sd
The chemical-scenario data specific to relevant combinations of chemical and scenario. Generated internally.
cd
The list of scenario-specific information for the chemicals being evaluated. Generated internally.
Details
This scenario is for accidental ingestion during product usage. Typical examples are toothpaste, mouthwash,
lipstick or chap stick, and similar products used on the face or mouth.
The function produces a prevalence value, which reflects the fraction of the population who use this scenario at all.
It also produces a frequency value, which is the mean number of times per year this scenario occurs among that
fraction of the population specified by prevalence.
Since SHEDS operates on the basis of one random day, the frequency is divided by 365 and then passed to the
p.round (probabilistic rounding) function, which rounds either up or down to the nearest integer. Very common
events may happen more than once in a day.
The function also produces a mass variable, which refers to the mass of the product in grams in a typical usage event.
The composition is the percentage of that mass that is the chemical in question.
The ingested variable represents the percentage of the mass applied that becomes ingested. Since these products are
not intended to be swallowed, this should typically be quite small (under 5%).
The final output is the total incidental ingested exposure for each chemical-individual combination in micrograms, which
is the product of the above variables multiplied by a factor of 1E6.
Value
dir.ingest For each person, the calculated quantity of a given chemical incidentally ingested during or
immediately after use of products such as toothpaste. Does not include exposure via food and drinking water.
Author(s)
Kristin Isaacs, Graham Glen
HumanExposure/SHEDSDevel documentation built on Oct. 30, 2019, 6:49 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Models the ingestion exposure scenario for each theoretical person.
Usage
1 | dir.ingested(sd, cd)
|
Arguments
sd |
The chemical-scenario data specific to relevant combinations of chemical and scenario. Generated internally. |
cd |
The list of scenario-specific information for the chemicals being evaluated. Generated internally. |
Details
This scenario is for accidental ingestion during product usage. Typical examples are toothpaste, mouthwash,
lipstick or chap stick, and similar products used on the face or mouth.
The function produces a prevalence value, which reflects the fraction of the population who use this scenario at all.
It also produces a frequency value, which is the mean number of times per year this scenario occurs among that
fraction of the population specified by prevalence.
Since SHEDS operates on the basis of one random day, the frequency is divided by 365 and then passed to the
p.round (probabilistic rounding) function, which rounds either up or down to the nearest integer. Very common
events may happen more than once in a day.
The function also produces a mass variable, which refers to the mass of the product in grams in a typical usage event.
The composition is the percentage of that mass that is the chemical in question.
The ingested variable represents the percentage of the mass applied that becomes ingested. Since these products are
not intended to be swallowed, this should typically be quite small (under 5%).
The final output is the total incidental ingested exposure for each chemical-individual combination in micrograms, which
is the product of the above variables multiplied by a factor of 1E6.
Value
dir.ingest For each person, the calculated quantity of a given chemical incidentally ingested during or immediately after use of products such as toothpaste. Does not include exposure via food and drinking water.
Author(s)
Kristin Isaacs, Graham Glen
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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