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Research Roundup Big Data (AIHce EXP 2021 OnDemand)
Course Description:
Recorded at AIHce EXP 2021

The Role of Big Data in the EHS Profession
Big data is playing an ever expanding role in our daily lives and will impact our work as EHS professionals. It is important that EHS professionals understand the fundamentals of big data so that we can play productive role in how data is collected and used within the health and safety field. This presentation will include a brief overview of big data and predictive analytics along with practical applications within the EHS profession, now and into the future.

Acknowledgements & References: AIHA's Big Data Task Force (Bradley King, Taylor Shockey, Felix Boachie, Christopher Sparks, Christopher Smith, Fran Curtis, Howard Health)
Presenter/Author: Monica Melkonian, MS, CIH, ComplianceQuest, Bend, OR

Comparison Between OSHA-NIOSH Heat Safety Tool App and WBGT Monitor to Assess Heat Stress Risk in Agriculture
Agricultural workers are exposed to heat stress due to spending significant amount of time outdoors. Wet bulb globe temperature (WBGT) has been the preferred environmental heat metric for heat-related illness prevention in workplaces but may not always be readily available for workplace heat stress assessment due to various reasons. Heat index (HI) has been identified as an alternative environmental heat metric, although originally designed for use by the general public, and is often more readily available than WBGT to employers. The OSHA-NIOSH Heat Safety Tool app for mobile devices enables workers and supervisors to monitor HI using ambient temperature and relative humidity obtained directly from NOAA weather stations. Risk information from the app is more readily available for timely advice on risk management that is crucial in preventing severe acute heat-related illnesses and deaths, but its reliability is unknown. The purpose of this study was to determine the reliability of the OSHA-NIOSH Heat Safety Tool app in providing accurate heat stress risk information for agricultural workers in eastern North Carolina. Study findings showed that the use of the app was most reliable in identifying minimal risk conditions, but its reliability decreased as the heat stress risk condition became more severe.

Acknowledgements & References: C. Ortel, Pitt County Cooperative Extension, Greenville, NC, USA - for her assistance in the identification and recruitment of agricultural sites for the study
Co-Authors: Danielle Dillane, East Carolina University, Greenville, NC, USA
Presnter/Author: Dr. Jo Anne Balanay, PhD, CIH, East Carolina University, Winterville, NC

Contact Hours:
1

Presentation Date:
05/25/2021
Session recordings are available for 90 days from purchase.


Stock #: AOD21_E1
ISBN #: 
Author/Editor: 

Member $25/Non-Member $35/Student $25

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