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International Journal of Health Geographics

, 15:34

First Online: 27 September 2016Received: 29 May 2016Accepted: 14 September 2016DOI: 10.1186-s12942-016-0063-7

Cite this article as: Delaunay, M., Godard, V., Le Barbier, M. et al. Int J Health Geogr 2016 15: 34. doi:10.1186-s12942-016-0063-7

Abstract

BackgroundAlthough introduced nearly 40 years ago, Geographic Information Systems GISs have never been used to study Occupational Health information regarding the different types, scale or sources of data. The geographic distribution of occupational diseases and underlying work activities were always analyzed independently. Our aim was to consider the French Network of Occupational Disease OD clinics, namely the -French National OD Surveillance and Prevention Network- rnv3p as a spatial object in order to describe its catchment.

MethodsWe mapped rnv3p observations at the workplace level. We initially analyzed rnv3p capture with reference to its own data, then to the underlying workforce INSEE -Employment Areas-, and finally compared its capture of one emblematic occupational disease mesothelioma to an external dataset provided by a surveillance system thought to be exhaustive PNSM.

ResultsWhile the whole country is covered by the network, the density of observations decreases with increase in the distance from the 31 OD clinics located within the main French cities. Taking into account the underlying workforce, we show that the probability to capture and investigation of OD assessed by rates of OD per 10,000 workers also presents large discrepancies between OD clinics. This capture rate might also show differences according to the disease, as exemplified by mesothelioma.

ConclusionThe geographic approach to this network, enhanced by the possibilities provided by the GIS tool, allow a better understanding of the coverage of this network at a national level, as well as the visualization of capture rates for all OD clinics. Highlighting geographic and thematic shading zones bring new perspectives to the analysis of occupational health data, and should improve occupational health vigilance and surveillance.

KeywordsOccupational health Occupational diseases Surveillance network Stakeholders Geographic Information System Spatial analysis France AbbreviationsEAemployment area geographic entity level for which economic activities figures are given by INSEE; In French -zones d’emplois-

GISGeographic Information Systems

ICD-10International Classification of Diseases 10th version

INSEEFrench National Institute of Statistics and Economic Studies -Institut National de la Statistique et des Etudes Economiques-

NAFnational activity codes -Nomenclature d’Activités Française-

ODoccupational diseases

PNSMFrench National Mesothelioma Surveillance Program -Programme National de Surveillance du Mésothéliome-

rnv3pFrench National Occupational Diseases Surveillance and Prevention Network -Réseau National de Surveillance et de Prévention des Pathologies Professionnelles-

SDEstandard deviation ellipses

WRDwork-related diseases

Electronic supplementary materialThe online version of this article doi:10.1186-s12942-016-0063-7 contains supplementary material, which is available to authorized users.

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Author: Marie Delaunay - Vincent Godard - Mélina Le Barbier - Annabelle Gilg Soit Ilg - Cédric Aubert - Anne Maître - Damien Ba

Source: https://link.springer.com/







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