01,0.01,0.01,0.01,0.01,0.01,0.01,0.01), gamma = c(0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1, NA,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1), taua despite = 2.0, taup = 1.0, tauc = 0.5) list(alpha = c(0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.05, 0.05,0.05,0.05), beta = c(NA,0,0,0,0,0,0,0,0), taua = 1.0, taup = 0.5, tauc = 1.5, gamma = c(0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1, NA,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1)) Acknowledgements Financial support was received from the Inhibitors,Modulators,Libraries European Commission (Directorate of SANCO, Luxembourg, Grand-Duchy du Luxembourg) through the Inhibitors,Modulators,Libraries EUNICE Network (European Network for Information on Cancer Epidemiology, IARC, Lyon, France), the DWTC/SSTC (Service for Science, Culture and Technology, Brussels, Belgium), IWT (Institute for the Promotion of Innovation by Science and Technology in Flanders (through the Unit of Health Economics and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp; project number 060081) and the National Cancer Plan, via the Belgian Cancer Centre.

According to the World Health Organization [1], health risks are unfairly distributed in our so-ciety. The most disadvantaged social groups (in terms of income, schooling or socio-economic group) are more exposed to health risks. An international comparison of 11 European countries revealed major social inequalities in subjective health. These inequalities are also observed in mortality Inhibitors,Modulators,Libraries and morbidity rates [2]. Several lines of explanation have been explored: initially, these inequalities were put down to individual differences in harmful habits (smoking, alcohol consumption and poor diet), stress factors Inhibitors,Modulators,Libraries and psychosocial resources.

However, research indicated that Inhibitors,Modulators,Libraries the impact of harmful habits was relatively low [3,4]. A second line of explanation took interest in contextual health factors, that is to say lifestyle characteristics, for individuals are not in fact randomly distributed in space, and habitable space tends to be subject to socio-economic stratification. This second, lifestyle approach considers several aspects such as social capital, accessibility of public services and exposure to environmental risks [5]. In this study, we will be considering an environmental factor that is rarely featured in studies of health inequalities, that is to say exposure to noise pollution [6].

Vulnerable social groups are more likely to live in less favourable environments. The literature in this area has been mainly concerned with the role of air pollution, particularly Carfilzomib because this may aggravate morbidity following allergies [7-9]. Up until now, very few researchers have examined the impact of noise pollution on these same inequalities. According to Job (1996) there might be a causal link between exposure to noise pollution and bad health, although this link has not yet been definitively established.