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Atmosphere 2018, 9(7), 286; https://doi.org/10.3390/atmos9070286

Modelling Productivity Loss from Heat Stress

School of Public Health, The University of Adelaide, Adelaide SA 5005, Australia
Received: 29 May 2018 / Revised: 17 July 2018 / Accepted: 18 July 2018 / Published: 22 July 2018
(This article belongs to the Special Issue Impacts of Climate Change on Human Health)
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Abstract

Workers exposed to high ambient temperatures, either indoors or out, work slower. The few studies that have measured this loss of productivity show a degree of consistency across widely varying settings. I develop a class of 5-parameter probability models that express productivity as a function of environmental heat and show how the method of fitting can be adapted according to the completeness of the data available. As well as modelling the mean output, it is important to also consider variation between workers, and the model presented here achieves this. The method is illustrated using three previously published datasets from different industries and work environments. View Full-Text
Keywords: workplace; heat stress; productivity loss; beta distribution workplace; heat stress; productivity loss; beta distribution
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Dear, K. Modelling Productivity Loss from Heat Stress. Atmosphere 2018, 9, 286.

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