Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/7239
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dc.contributor.authorDelaunay, M.en_US
dc.contributor.authorVan der Westhuizen, H.en_US
dc.contributor.authorGodard, V.en_US
dc.contributor.authorAgius, R.en_US
dc.contributor.authorLe Barbier, M.en_US
dc.contributor.authorGodderis, L.en_US
dc.contributor.authorBonneterre, V.en_US
dc.date.accessioned2020-05-05T07:26:42Z-
dc.date.available2020-05-05T07:26:42Z-
dc.date.issued2015-
dc.identifier.citationDelaunay, M., Van der Westhuizen, H., Godard, V. et al. 2015. Use of GIS in visualization of work-related health problems. Occupational Medicine, 65(8): 682-692 [https://doi.org/10.1093/occmed/kqv152 ]en_US
dc.identifier.issn0962-7480-
dc.identifier.urihttp://hdl.handle.net/11189/7239-
dc.description.abstractOccupational 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 eco- nomic 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 com- posed 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.en_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.relation.ispartofOccupational Medicineen_US
dc.subjectDatabasesen_US
dc.subjectEpidemiologyen_US
dc.subjectExposuresen_US
dc.subjectGeographic Information Systems (GIS)en_US
dc.subjectgeostatisticsen_US
dc.subjectoccupational dis-easesen_US
dc.subjectoccupational healthen_US
dc.titleUse of GIS in visualization of work-related health problemsen_US
dc.identifier.doihttps://doi.org/10.1093/occmed/kqv152-
dc.typeArticleen_US
Appears in Collections:Appsc - Journal Articles (not DHET subsidised)
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