The mission of the Committee is to provide leadership in the field of exposure assessment and strategies for Environmental Health, Safety, and Industrial Hygiene professionals.
The Committee develops and offers exposure assessment tool, exposure assessment training, and scientific roundtables and other forums for presentation of exposure assessment studies. We have many different project teams (shown below) that are actively working on current issues in exposure assessment. Please feel free to contact us with your suggestions or issues on topics for future project teams. If you would like to join one of the project teams we would be happy to have you. Working on a team is a great opportunity to interact with others who have an interest in the same subject matter. Working on a project provides professional development and is a great networking opportunity. You can also request to be a corresponding member, which will add you to the email distribution list (contact AIHA Liaison).
One of the goals of the Committee is to ensure that the information that we provide is useful to the practicing industrial hygiene professional. One example of this is a PDC (professional development course) that provides video and technical information then works with participants to apply these practical tools and strategies through a series of real-life exposure scenario workshops. These workshops utilize videos, basic characterization information, determinants of exposure, and sampling data for inhalation, dermal, and noise exposures. Participants learn to make sound qualitative and quantitative exposure judgments, gain a better understanding of how they can apply new skills within their organization, and get direct feedback from seasoned experts. The PDC ends with discussion summarizing lessons learned and identifying new opportunities for exposure assessment methodologies in the future.
you are interested in getting involved, please contact your AIHA Staff Liaison,
or a project team leader listed in the spreadsheet.
Bayesian User Group
Data Quality Objectives
Mathematical Modeling of Exposures
Product Exposure Assessment
Professional Judgment in Exposure Assessment
5 Year-Strategic Planning
TOOLS (For the Practicing Industrial Hygienist)
software tools provide the practicing industrial hygienist with quick and easy
access to the information necessary to evaluate exposure profiles and determine
if the exposures are acceptable, not acceptable or if more data is needed to
make the determination of acceptability. The tools are all free and are
regularly updated. Several are available in multiple languages.
Functional Requirements for IH Systems provides basic and
advanced requirements one may need in a computer database system to be able
make informed exposure judgements. It
is important to have a database tool that has the ability to incorporate
qualitative and quantitative assessments.
IH MOD is a mathematical modeling Excel spreadsheet used for estimating occupational exposures. It is a supplement to the book “Mathematical Models for Estimating
Occupational Exposure to Chemicals”. Multiple languages are available. Click on this link for IH MOD General Help
IHSTAT an Excel application that calculates a variety of
exposure statistics, performs goodness of fit tests, and graphs exposure data. Multiple languages are
available. The book, “A Strategy for Assessing and Managing
Occupational Exposures” is intended to accompany this. The links below will show
you how to adjust the macros settings in your version of Excel, if
is an Excel application for estimating dermal absorption. Basic
knowledge of Excel is all that is needed to operate IH SkinPerm. IH SkinPerm is a work product of the AIHA
Exposure Assessment Strategies Committee (EASC) and the Dermal Project Team
(DPT) in collaboration with Wil ten Berg, author of the original SkinPerm
model. Although various parameters and
data outputs have been explained or defined in IH SkinPerm through comments
tagged on individual fields, users are encouraged to read Chapter 13 of the
Mathematical Models for Estimating Occupational Exposure to Chemicals, 2nd
edition, AIHA Press, 2009, C. Keil Editor. This is a useful reference for
understanding the science and terminology associated with skin permeation.
Hygiene Data Interpretation App is a game you can download on your smartphone or tablet PC. This game illustrates
the need for industrial hygienists to use statistical tools every time they
interpret sampling data. The IH DIG is a fun app to help Exposure Assessors
train their unconscious data interpretation algorithms to better match a
Bayesian Likelihood analysis. The App is fun but a serious look at exposure
assessment decision making. Download here, For iPad, For iPhone, For Android
IH Exposure Scenario Tool (IHEST) guides the assessor through the process of collecting general
information about the workplace, specific scenario and agents(s), providing
cues for measuring or estimating the important determinants of exposure such as
generation and ventilation rates. It also prompts the user to specify the
type of engineering controls; this information is needed later when making
initial judgments by applying the Qualitative Exposure Assessment Checklist
The Qualitative Exposure Assessment Checklist (The Checklist) requires only four readily
available pieces of information: The Occupational Exposure Limit (OEL);
the Vapor Pressure of the pure chemical (VP) when the agent is gas or vapor
form; the observed or reported worplace control measures (observed level of
control) and the required level of workplace control (required level of
control). It can be applied in just a few minutes using readily available
information and has been shown to be significantly more accurate than
subjective intuitive judgments. The user is referred to Chapter 6 of "A
Strategy for Assessing and Managing Occupational Exposures", 4th Edition
Industrial Hygiene Data Interpretation App
(IH DIG) that you can download on your smartphone or
tablet PC. This game illustrates the need for industrial
hygienists to use statistical tools every time they interpret sampling data. The IH DIG is a fun app to help Exposure Assessors train their unconscious data interpretation
to better match a Bayesian Likelihood analysis. The App is fun
but a serious look at exposure assessment decision making.
PROFESSIONAL DEVELOPMENT COURSES (PDCs)
The Exposure Assessment
Strategies Committee (EASC) each year sponsors some of the most highly rated Professional Development Courses (PDCs) at
AIHCE and the AIHA Fall Conference. The Committee also provides members to AIHA local sections and many international occupational hygiene conferences to
offer mini-PDCs or speak on current topics of interest to those groups.
Below are some brief descriptions of the PDC offerings. They are listed in the
order found by members of the EASC to
make the most sense in developing fluency
in the practice
of judging exposure
profiles. Contact AIHA staff or EASC officers for more details on course offerings.
STRATEGIES AND STATISTIC
This PDC is designed to provide participants with exposure
for the collection
and interpretation of occupational exposure monitoring data. It provides the skills and techniques for developing strategies for effectively managing workplace exposure and monitoring data.
The course also includes
the main elements of exposure
risk assessment and management:
similar exposure groups (SEGs), define/judge exposure profiles, further information gathering, exposure monitoring strategies, record keeping and reporting,
strategies for implementation, statistics review, censored data analysis,
and dermal exposure.
STATISTICS AND DECISION ANALYSIS
This PDC is
designed to provide training is the application of the Bayesian statistical methods and how they are used in decision making
using exposure data. Bayesian methods offer exciting
opportunities for improving the accuracy, efficiency, and transparency of our exposure
judgments. Bayesian techniques can be used to formally combine our professional judgment
regarding a particular exposure and its uncertainty along with the statistical analysis
of current exposure data. The language and framework of the approach holds promise for expressing
of exposure assessments in a manner that is much more easily understood and communicated than
the output from more traditional statistical analysis. Best of all, the Bayesian
approach formalizes traditional exposure assessment processes
already used by IHs today.
This course will provide an overview of the Bayesian framework for decision analysis and explore, through discussion and workshops, opportunities for its application
in IH data interpretation and exposure-risk
assessment. A software program for performing Bayesian decision analysis calculations will be distributed. Note that the software is designed for Windows-based PCs. It
will not run on a Macintosh computer without
PROFESSIONAL JUDGMENT IN EXPOSURE ASSESSMENT DECISION MAKING
This PDC is
designed to improve professional judgment in occupational exposure
assessment. Professional judgment is already an integral component of most occupational exposure assessments.
What we need to know is how good our professional judgment is and to
continuously improve it. This PDC offers solutions to both of these issues. The
PDC incorporates Bayesian statistical techniques to
make these judgments transparent and quantitative regarding a particular exposure and its uncertainty along with the statistical analysis of current exposure data.
This PDC will focus on several exposure assessment exercises using videos of tasks and basic workplace characterizations. Participants will be led through
each scenario and make exposure decisions using their own professional judgments,
the rules of thumb,
and mathematical exposure models. Participants will learn how these rules of thumb and exposure models
improve exposure decision accuracy and efficiency.
USE OF MATHEMATICAL MODELS TO ESTIMATE OCCUPATIONAL EXPOSURE
This PDC reviews the basis and application
of exposure-modeling techniques to evaluate airborne contaminant concentrations
relevant to IH exposure issues. Hygienists can use
models to estimate concentrations when monitoring is unavailable, including:
• Emergency response
Historical worker exposure
reconstruction/Event exposure reconstruction
• New chemical/process approvals