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Published on: May 15, 2020
Use of GIS in visualization of work-related health problems
M Delaunay1, H Van der Westhuizen2, V Godard3
1Univ. Grenoble Alpes/CNRS/TIMC-IMAG UMR 5525 (EPSP team: Environnement et Prédiction de la Santé des Populations), Grenoble F-38000, France, Univ. Paris 8/CNRS/Ladyss Laboratory UMR 7533 (Laboratoire Dynamiques sociales et recomposition des espaces), Saint-Denis F-93526, France, Modernet Network (Monitoring Occupational Diseases and new Emerging Risks in a NETwork, http://www.costmodernet.org/).
Background:
Occupational health and safety (OHS) information is often complex, diverse and unstructured and suffers from a lack of integration which usually precludes any systemic insight of the situation.
Aims:
To analyse to what extent the use of geographical information systems (GISs) can help to integrate, analyse and present OHS data in a comprehensive and communicable way relevant for surveillance purposes.
Methods:
We first developed a 'macro-approach' (from national to local level), mapping data related to economic activity (denominator of active workers displayed by activity sectors), as well as work-related ill-health (numerators of workers suffering from work-related ill-health). The latter data are composed of compensated occupational diseases on the one hand and work-related diseases investigated by specialized clinics on the other hand. Then, a 'micro-approach' was worked out, integrating at a plant level, using computer-aided drawing, occupational risks data and OHS surveillance data (e.g. use of medication and sickness absence data).
Results:
At the macro-level, microelectronics companies and workers were mapped at different scales. For the first time, we were able to compare, up to the enterprise level, complementary data showing different pictures of work-related ill-health, allowing a better understanding of OH issues in this sector. At the micro-level, new information arose from the integration of risk assessment data and medical data.
Conclusions:
This work illustrates to what extent GIS is a promising tool in the OHS field, and discusses related challenges (technical, ethical, biases and interpretation) and research perspectives.
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