Suchergebnisse

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Author -- Chapter 1 Background and Introduction -- 1.1 The Impact of Pharmaceutical Companies -- 1.1.1 Modern Industrial Hygiene in the Pharmaceutical Industry -- 1.1.2 Risk Management Overview -- 1.2 Industrial Hygiene and Risk Management within the Pharmaceutical Industry -- 1.3 Summary -- Notes -- Chapter 2 Risk Assessment: Hazard Identification and Dose-Response Evaluation -- 2.1 Introduction -- 2.2 Hazard Identification -- 2.2.1 Epidemiological Studies -- 2.2.2 Animal Bioassays (In Vivo Studies) -- 2.2.3 In Vitro Assays -- 2.2.4 Structure Comparison -- 2.2.5 Finding the Relevant Hazard Identification Data -- 2.2.6 Hazard Identification Summary -- 2.3 Dose-Response Assessment -- 2.3.1 Dose-Response Curves -- 2.3.2 Use of In Vitro Studies -- 2.3.3 Evaluating the Quality of the Study -- 2.3.4 Creating Occupational Exposure Limits (OELs) -- 2.3.4.1 Evaluating the PoD Criteria -- 2.3.4.2 Evaluating the BW Criteria -- 2.3.4.3 Evaluating the UFc and PK Criteria -- 2.3.4.4 Evaluating the V Criteria -- 2.3.4.5 Calculating the OEL -- 2.3.5 Exposure Banding and OELs -- 2.3.6 Drawbacks of Exposure Banding -- 2.3.7 Integration Into the ISO 31000 Risk Management System -- 2.4 Summary -- Notes -- Chapter 3 Industrial Hygiene Risk Assessment: Exposure Assessment -- 3.1 Introduction -- 3.2 Identifying What Needs to Be Sampled -- 3.2.1 APIs and Active Ingredients -- 3.2.2 Excipients -- 3.2.3 Flavors and Colors -- 3.2.4 Biologicals -- 3.2.5 Antibody-Drug Conjugates (ADCs) -- 3.2.6 Other Substances of Concern -- 3.3 Identifying How Sampling Will Be Performed: Method Selection and Analytical Sensitivity -- 3.3.1 Surrogates -- 3.3.2 Non-Specific Methods -- 3.3.3 Sampling for Parts of a Whole -- 3.3.4 Enzyme-Linked Immunosorbent Assays (ELISA).

"This volume is an update on the use of containment in the pharmaceutical industry and consumer healthcare. It serves to highlight how industrial hygiene acts as a driving force within these industries to reduce the risk of exposure to chemical and physical agents, particularly to powders and dusts, while taking all factors into account. The author emphasizes how this book is not designed to replace other texts on containment; rather, it will serve to show a practical approach of utilizing the technologies within the high-demand industries of pharmaceuticals and consumer healthcare"--

The employment relationship -- Multi-employer worksite regulations -- Contract law -- Tort law -- Administrative law -- Criminal law -- Workplace discrimination and retaliation -- Worker's compensation -- Evidence law topics -- Influencing IH/S organizational policy and compliance.

"February 1985." ; Shipping list no.: 89-441-P. ; Cover title. ; Includes bibliographical references. ; Mode of access: Internet. ; 2

Abstract
The American Industrial Hygiene Association has developed an exposure assessment strategy and has emphasized the use of statistical methods for the evaluation of industrial hygiene sampling data. Professional industrial hygienists typically underestimate exposures without analytical aids. The use of heuristics and mathematical methods reduce professional bias. To support statistical analysis, they have free online analytical tools, and free online training.
The strategy is an iterative approach, starting with simpler qualitative measures and advancing to more complex quantitative measures as necessary. Qualitative tools can be easily used by observation, and then quantitative tools can be implemented when industrial hygiene sampling can be conducted. These tools include:
•IHEST - Exposure Scenario Tool
•SDM2.0 - Qualitative Assessment Tool (Excel)
•IHDA/ Expostats - Data Analysis Tools (Downloadable Program/ WebInterface)
•IHSTAT - Data Analysis Tool (Excel Spreadsheet)
After reviewing the strategy, the tools will be introduced and described. Upon completion, the attendees will be able to select, find, and use the relevant tool for exposure and risk determination.
By using a structured approach and statistical analytical tools, you will be able to make more accurate exposure assessments. This will help you identify elevated employee exposures, allow proper control targeting, and reduce the overall burden of occupational illness and disease.

Abstract
Graduates of industrial hygiene training (IH) programs must be able to meet continuously evolving health and safety needs in a wide variety of occupational settings. Therefore, academic IH graduate programs must regularly evaluate their curricula and solicit input from industry professionals to make curricular changes that will better prepare their students for professional roles in industry. The purpose of this study was to identify the training gaps that existed between industry needs and the current curriculum for a United States-accredited IH graduate training program. The research team facilitated two group interviews with the IH program advisory board, collected alumni survey data, and performed a qualitative analysis to identify skills gaps/needs for the IH Program graduates. The research team identified 3 themes from participant interviews and alumni surveys (technical, applied, and essential skills) and selected several skills within each theme that interview participants thought were necessary proficiencies for junior IH professionals. The skills identified in the qualitative interview and survey data can be incorporated into the curriculum to improve the training of IH graduate students. Additionally, by using qualitative analysis, the researchers uncovered essential skills previously unidentified in IH needs assessments, providing valuable information for all IH graduate programs.

Protection of the industrial worker is the key-note of this story. Difficulties which an important government agency discovers are set forth, and the author tells how to overcome them, not forgetting first, the education of the people which must be the foundation of all reform.

Abstract
A series of experiments in stationary and moving passenger rail cars were conducted to measure removal rates of particles in the size ranges of SARS-CoV-2 viral aerosols and the air changes per hour provided by existing and modified air handling systems. Such methods for exposure assessments are customarily based on mechanistic models derived from physical laws of particle movement that are deterministic and do not account for measurement errors inherent in data collection. The resulting analysis compromises on reliably learning about mechanistic factors such as ventilation rates, aerosol generation rates, and filtration efficiencies from field measurements. This manuscript develops a Bayesian state-space modeling framework that synthesizes information from the mechanistic system as well as the field data. We derive a stochastic model from finite difference approximations of differential equations explaining particle concentrations. Our inferential framework trains the mechanistic system using the field measurements from the chamber experiments and delivers reliable estimates of the underlying physical process with fully model-based uncertainty quantification. Our application falls within the realm of the Bayesian "melding" of mechanistic and statistical models and is of significant relevance to environmental hygienists and public health researchers working on assessing the performance of aerosol removal rates for rail car fleets.