Literature DB >> 21917819

Prospects and pitfalls of occupational hazard mapping: 'between these lines there be dragons'.

Kirsten A Koehler1, John Volckens.   

Abstract

Hazard data mapping is a promising new technique that can enhance the process of occupational exposure assessment and risk communication. Hazard maps have the potential to improve worker health by providing key input for the design of hazard intervention and control strategies. Hazard maps are developed with aid from direct-reading instruments, which can collect highly spatially and temporally resolved data in a relatively short period of time. However, quantifying spatial-temporal variability in the occupational environment is not a straightforward process, and our lack of understanding of how to ascertain and model spatial and temporal variability is a limiting factor in the use and interpretation of workplace hazard maps. We provide an example of how sources of and exposures to workplace hazards may be mischaracterized in a hazard map due to a lack of completeness and representativeness of collected measurement data. Based on this example, we believe that a major priority for research in this emerging area should focus on the development of a statistical framework to quantify uncertainty in spatially and temporally varying data. In conjunction with this need is one for the development of guidelines and procedures for the proper sampling, generation, and evaluation of workplace hazard maps.

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Year:  2011        PMID: 21917819     DOI: 10.1093/annhyg/mer063

Source DB:  PubMed          Journal:  Ann Occup Hyg        ISSN: 0003-4878


  8 in total

1.  STATIC AND ROVING SENSOR DATA FUSION FOR SPATIO-TEMPORAL HAZARD MAPPING WITH APPLICATION TO OCCUPATIONAL EXPOSURE ASSESSMENT.

Authors:  Guilherme Ludwig; Tingjin Chu; Jun Zhu; Haonan Wang; Kirsten Koehler
Journal:  Ann Appl Stat       Date:  2017-04-08       Impact factor: 2.083

2.  Influence of analysis methods on interpretation of hazard maps.

Authors:  Kirsten A Koehler; Thomas M Peters
Journal:  Ann Occup Hyg       Date:  2012-12-20

3.  Mapping Occupational Hazards with a Multi-sensor Network in a Heavy-Vehicle Manufacturing Facility.

Authors:  Christopher Zuidema; Sinan Sousan; Larissa V Stebounova; Alyson Gray; Xiaoxing Liu; Marcus Tatum; Oliver Stroh; Geb Thomas; Thomas Peters; Kirsten Koehler
Journal:  Ann Work Expo Health       Date:  2019-03-29       Impact factor: 2.179

4.  Optimizing a Sensor Network with Data from Hazard Mapping Demonstrated in a Heavy-Vehicle Manufacturing Facility.

Authors:  Jesse D Berman; Thomas M Peters; Kirsten A Koehler
Journal:  Ann Work Expo Health       Date:  2018-05-28       Impact factor: 2.179

5.  Distribution of particle and gas concentrations in Swine gestation confined animal feeding operations.

Authors:  Thomas M Peters; T Renée Anthony; Craig Taylor; Ralph Altmaier; Kimberley Anderson; Patrick T O'Shaughnessy
Journal:  Ann Occup Hyg       Date:  2012-08-16

6.  Estimating personal exposures from a multi-hazard sensor network.

Authors:  Christopher Zuidema; Larissa V Stebounova; Sinan Sousan; Alyson Gray; Oliver Stroh; Geb Thomas; Thomas Peters; Kirsten Koehler
Journal:  J Expo Sci Environ Epidemiol       Date:  2019-06-04       Impact factor: 5.563

7.  Use of GIS in visualization of work-related health problems.

Authors:  M Delaunay; H Van der Westhuizen; V Godard; R Agius; M Le Barbier; L Godderis; V Bonneterre
Journal:  Occup Med (Lond)       Date:  2015-11       Impact factor: 1.611

8.  Low-Cost, Distributed Environmental Monitors for Factory Worker Health.

Authors:  Geb W Thomas; Sinan Sousan; Marcus Tatum; Xiaoxing Liu; Christopher Zuidema; Mitchell Fitzpatrick; Kirsten A Koehler; Thomas M Peters
Journal:  Sensors (Basel)       Date:  2018-05-03       Impact factor: 3.576

  8 in total

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