Fiche du document
- handle: 10670/1.gu01wx
- anses-01230484
- doi: 10.1093/occmed/kqv152
- PUBMED: 26503981
- PUBMEDCENTRAL: PMC4661781
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1093/occmed/kqv152
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/26503981
Ce document est lié à :
info:eu-repo/grantAgreement/EC/FP7/200443/EU/Provision of Scientific, Technical and Administrative Management of COST/COST II
info:eu-repo/semantics/OpenAccess
Mots-clés
Databases epidemiology exposures geographic information systems geostatistics occupational diseases occupational health occupational hygiene -bio]/Santé publique et épidémiologieSujets proches
Personnel Workers Laborers Occupations--Diseases Work-related diseases Industrial diseases Occupation diseases Diseases of occupations Employees--Diseases Use ofCiter ce document
Marie Delaunay et al., « Use of GIS in visualization of work-related health problems », HAL-SHS : géographie, ID : 10.1093/occmed/kqv152
Métriques
Partage / Export
Résumé
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.