Author
Listed:
- Kihal-Talantikite Wahida
(School of Public Health (EHESP), Rennes, Cedex 35043, France
INSERM U1085 IRSET (Research Institute in Environmental and Occupational Health), Rennes, Cedex 35000, France)
- Cindy M. Padilla
(School of Public Health (EHESP), Rennes, Cedex 35043, France)
- Zmirou-Navier Denis
(School of Public Health (EHESP), Rennes, Cedex 35043, France
INSERM U1085 IRSET (Research Institute in Environmental and Occupational Health), Rennes, Cedex 35000, France
Medical Department, Lorraine University, Nancy, Cedex 54052, France)
- Blanchard Olivier
(School of Public Health (EHESP), Rennes, Cedex 35043, France
INSERM U1085 IRSET (Research Institute in Environmental and Occupational Health), Rennes, Cedex 35000, France)
- Le Nir Géraldine
(Air Quality Monitoring Associations (AASQA), Airparif, Paris 75004, France)
- Quenel Philippe
(School of Public Health (EHESP), Rennes, Cedex 35043, France
INSERM U1085 IRSET (Research Institute in Environmental and Occupational Health), Rennes, Cedex 35000, France)
- Deguen Séverine
(School of Public Health (EHESP), Rennes, Cedex 35043, France
INSERM U1085 IRSET (Research Institute in Environmental and Occupational Health), Rennes, Cedex 35000, France)
Abstract
Many epidemiological studies examining long-term health effects of exposure to air pollutants have characterized exposure by the outdoor air concentrations at sites that may be distant to subjects’ residences at different points in time. The temporal and spatial mobility of subjects and the spatial scale of exposure assessment could thus lead to misclassification in the cumulative exposure estimation. This paper attempts to fill the gap regarding cumulative exposure assessment to air pollution at a fine spatial scale in epidemiological studies investigating long-term health effects. We propose a conceptual framework showing how major difficulties in cumulative long-term exposure assessment could be surmounted. We then illustrate this conceptual model on the case of exposure to NO 2 following two steps: (i) retrospective reconstitution of NO 2 concentrations at a fine spatial scale; and (ii) a novel approach to assigning the time-relevant exposure estimates at the census block level, using all available data on residential mobility throughout a 10- to 20-year period prior to that for which the health events are to be detected. Our conceptual framework is both flexible and convenient for the needs of different epidemiological study designs.
Suggested Citation
Kihal-Talantikite Wahida & Cindy M. Padilla & Zmirou-Navier Denis & Blanchard Olivier & Le Nir Géraldine & Quenel Philippe & Deguen Séverine, 2016.
"A Conceptual Framework for the Assessment of Cumulative Exposure to Air Pollution at a Fine Spatial Scale,"
IJERPH, MDPI, vol. 13(3), pages 1-21, March.
Handle:
RePEc:gam:jijerp:v:13:y:2016:i:3:p:319-:d:65778
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Cited by:
- Wahida Kihal-Talantikite & Pierre Legendre & Pauline Le Nouveau & Séverine Deguen, 2018.
"Premature Adult Death and Equity Impact of a Reduction of NO 2 , PM 10 , and PM 2.5 Levels in Paris—A Health Impact Assessment Study Conducted at the Census Block Level,"
IJERPH, MDPI, vol. 16(1), pages 1-19, December.
- Severine Deguen & Nina Ahlers & Morgane Gilles & Arlette Danzon & Marion Carayol & Denis Zmirou-Navier & Wahida Kihal-Talantikite, 2018.
"Using a Clustering Approach to Investigate Socio-Environmental Inequality in Preterm Birth—A Study Conducted at Fine Spatial Scale in Paris (France),"
IJERPH, MDPI, vol. 15(9), pages 1-19, August.
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