期刊
ENVIRONMENTAL SCIENCE & POLICY
卷 144, 期 -, 页码 20-30出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsci.2023.03.005
关键词
Environmental health determinants; ?Health in All Policies ?; Specificity of data; Urban community; Spatial variability; Territorial diagnosis
Resolving health inequalities is a priority worldwide, and environmental health inequalities have become of increasing concern to public health governance. A methodology based on spatial composite index has been developed to assess these inequalities and provide an alternative to traditional approaches. This study uses different cases to understand how the change of scale influences the analysis of environmental health inequalities.
Resolving health inequalities continues to be a priority in improving quality of life around the world. Their impact is of increasing concern to public health governance, which considers the issue of environmental health inequalities to be paramount. To meet this challenge, we have developed a methodology based on the development of spatial composite index in order to assess these inequalities while also providing an alternative to classic approaches that are solely based on territory weaknesses. The aggregation of the widest possible range of factors involved in environmental health provide a clear picture of a territory. This study uses different cases to understand how the change of scale influences the analysis of environmental health inequalities. Our analysis is based on a densely populated area located in a region in the north of France where the standardized mortality ratio is higher than the national average. Multidimensional composite indices were developed simultaneously from datasets collected for different administrative units, and were used to compare levels of resilience and vulnerability within the geographical area. Joint analysis of composite indices led to the identification of territorial blackspots. Indices could therefore enable stakeholders to prioritize certain administrative units, implementing specific measures according to the specificities of each administrative unit. The study discusses the consequences of the choice of a spatial unit and a geographical area in the assessment of territorial inequalities in health, particularly in terms of accessibility, availability and exhaustivity of data. The selection criteria also depend on the jurisdictional fields of action stakeholders.
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