Data for the assessment of vulnerability and resilience in the field of environmental health in the north of France

• Main Authors: Delphine Brousmiche, Michaël Genin, Florent Occelli, Lukas Frank, Annabelle Deram, Damien Cuny, Caroline Lanier
• Format: Article
• Language: English
• Published: Elsevier 2021-08-01
• Series: Data in Brief
• Subjects: Health determinants; Inter-territorial comparison; Environmental and social inequalities in health; Resilience as a capacity to cope with health inequalities; Vulnerability as a reflection of the harmful constraints and nuisances to which populations are subjected
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340921005047

The integration of multidimensional data is necessary to improve the understanding of environmental and social inequalities in health. The challenge is to define a dataset that provides the most holistic description possible of the territory. This article presents a relevant dataset to characterize the territorial accumulation of health determinants in the second most densely populated region of metropolitan France (Hauts-de-France Region, in the north of France). The multidimensional dataset combines data related to the economic, social, environment, services, health and policy dimensions at fine scale (i.e., each municipality). Data outlining a negative impact on health inequalities (e.g. anthropogenic pressures, socioeconomics factors related to vulnerability, etc.) are considered to be as important as data outlining a positive impact on health inequalities (e.g. natural resources, diversity and economic drive, etc.). The proposed theoretical framework relies on data reuse. Over one hundred variables covering a time frame from 2008 to 2017 were collected from a dozen public and national database providers. The use of official organizations ensured the quality of the collected data. The Geographic Information System, designed to map and catalogue ready-to-use data, was used to generate new data or to deal with missing data. Finally, 50 variables, including mostly quantitative but also qualitative data, were selected after application of inclusion and exclusion criteria. The resulting dataset provides a broad characterisation of the 3,817 municipalities in the Hauts-de-France Region. These data will help to discriminate the distribution pattern of vulnerability and resilience levels in this region. This novel approach is described in the paper “How can we analyse environmental health resilience and vulnerability? A joint analysis with composite indices applied to the north of France”, which provides a detailed description of the methodology used to develop composite indices. This research could therefore be of use to researchers, policy makers and stakeholders in the field of environmental health seeking to identify the weaknesses but also the strengths of municipalities.