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A Control Banding Framework for Protecting the US Workforce from Aerosol Transmissible Infectious Disease Outbreaks
Margaret Sietsema1, Lew Radonovich1, Frank J Hearl1
1Margaret Sietsema, PhD, is Research Assistant Professor, and Lisa M. Brosseau, ScD, CIH, is Professor, both in Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago. Lew Radonovich, MD, is Chief of Research; Edward M. Fisher, MS, is Associate Service Fellow; and Ronald E. Shaffer, PhD, is former Branch Chief; all at the National Personal Protective Technology Laboratory, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Pittsburgh, PA. Frank J. Hearl, MS, PE, is Chief of Staff, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Washington, DC. Lisa M. Koonin, DrPH, MN, MPH, is former Deputy Director, Influenza Coordination Unit, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA.
None:
Recent high-profile infectious disease outbreaks illustrate the importance of selecting appropriate control measures to protect a wider range of employees, other than those in healthcare settings. In such settings, where routine exposure risks are often high, control measures may be more available, routinely implemented, and studied for effectiveness. In the absence of evidence-based guidelines or established best practices for selecting appropriate control measures, employers may unduly rely on personal protective equipment (PPE) because of its wide availability and pervasiveness as a control measure, circumventing other effective options for protection. Control banding is one approach that may be used to assign job tasks into risk categories and prioritize the application of controls. This article proposes an initial control banding framework for workers at all levels of risk and incorporates a range of control options, including PPE. Using the National Institutes of Health (NIH) risk groups as a surrogate for toxicity and combining the exposure duration with the exposure likelihood, we can generate the risk of a job task to the worker.
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