Novel Analytic Methods Needed for Real-Time Continuous Core Body Temperature Data
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2017/01/01
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Details
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Personal Author:Economos E ; Elon L ; Flocks J ; Hertzberg V ; Mac V ; McCauley L ; Mutic A ; Mutic N ; Peterman K ; Tovar-Aguilar JA
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Description:Affordable measurement of core body temperature (Tc) in a continuous, real-time fashion is now possible. With this advance comes a new data analysis paradigm for occupational epidemiology. We characterize issues arising after obtaining Tc data over 188 workdays for 83 participating farmworkers, a population vulnerable to effects of rising temperatures due to climate change. We describe a novel approach to these data using smoothing and functional data analysis. This approach highlights different data aspects compared with describing Tc at a single time point or summaries of the time course into an indicator function (e.g., did Tc ever exceed 38 degrees C, the threshold limit value for occupational heat exposure). Participants working in ferneries had significantly higher Tc at some point during the workday compared with those working in nurseries, despite a shorter workday for fernery participants. Our results typify the challenges and opportunities in analyzing Big Data streams from real-time physiologic monitoring. [Description provided by NIOSH]
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ISSN:0193-9459
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Pages in Document:95-111
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Volume:39
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Issue:1
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NIOSHTIC Number:nn:20051508
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Citation:West J Nurs Res 2017 Jan; 39(1):95-111
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Contact Point Address:Vicki Hertzberg, Emory University, 1520 Clifton Rd. NE, Atlanta, GA 30322, USA
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Email:vhertzb@emory.edu
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Federal Fiscal Year:2017
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Performing Organization:Emory University, Atlanta
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Peer Reviewed:True
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Start Date:20140901
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Source Full Name:Western Journal of Nursing Research
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End Date:20180831
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Main Document Checksum:urn:sha-512:1997c6ecbece65ae3c5a13e6da179ad8cab6cc38698c02e430229f862324e7fd7a592a2b353054015188623cfc10bb241c30c04d375999b1186442796eb64671
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