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Characterizing environmental geographic inequalities using an integrated exposure assessment

  • CAUDEVILLE, Julien1, 2
  • REGRAIN, Corentin1, 3, 2
  • TOGNET, Frederic1
  • BONNARD, Roseline1
  • GUEDDA, Mohammed3
  • BROCHOT, Celine1
  • BEAUCHAMP, Maxime1
  • LETINOIS, Laurent1
  • MALHERBE, Laure1
  • MARLIERE, Fabrice1
  • LESTREMAU, Francois1
  • CHARDON, Karen2
  • BACH, Veronique2
  • ZEMAN, Florence Anna1
  • 1 Institut National de l’Environnement Industriel et des Risques (INERIS), Parc ALATA BP2, Verneuil en Halatte, 60550, France , Verneuil en Halatte (France)
  • 2 PériTox, UMR_I 01, CURS, Université de Picardie Jules Verne, Chemin du Thil, Amiens, 80025, France , Amiens (France)
  • 3 Université de Picardie Jules Verne, 33 rue Saint-Leu, Amiens, 80039, France , Amiens (France)
Published Article
Environmental Health
BioMed Central
Publication Date
May 12, 2021
DOI: 10.1186/s12940-021-00736-9
Springer Nature


BackgroundAt a regional or continental scale, the characterization of environmental health inequities (EHI) expresses the idea that populations are not equal in the face of pollution. It implies an analysis be conducted in order to identify and manage the areas at risk of overexposure where an increasing risk to human health is suspected. The development of methods is a prerequisite for implementing public health activities aimed at protecting populations.MethodsThis paper presents the methodological framework developed by INERIS (French National Institute for Industrial Environment and Risks) to identify a common framework for a structured and operationalized assessment of human exposure. An integrated exposure assessment approach has been developed to integrate the multiplicity of exposure pathways from various sources, through a series of models enabling the final exposure of a population to be defined.ResultsMeasured data from environmental networks reflecting the actual contamination of the environment are used to gauge the population’s exposure. Sophisticated methods of spatial analysis are applied to include additional information and take benefit of spatial and inter-variable correlation to improve data representativeness and characterize the associated uncertainty. Integrated approaches bring together all the information available for assessing the source-to-human-dose continuum using a Geographic Information System, multimedia exposure and toxicokinetic model.DiscussionOne of the objectives of the integrated approach was to demonstrate the feasibility of building complex realistic exposure scenarios satisfying the needs of stakeholders and the accuracy of the modelling predictions at a fine spatial-temporal resolution. A case study is presented to provide a specific application of the proposed framework and how the results could be used to identify an overexposed population.ConclusionThis framework could be used for many purposes, such as mapping EHI, identifying vulnerable populations and providing determinants of exposure to manage and plan remedial actions and to assess the spatial relationships between health and the environment to identify factors that influence the variability of disease patterns.

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