Research data supporting for "Data for the assessment of vulnerability and resilience in the field of environmental health in the north of France"

This is the data-set for "Data for the assessment of vulnerability and resilience in the field of environmental health in the north of France". 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. The data 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 (<em>i.e.</em>, each municipality). Data outlining a negative impact on health inequalities (e.g. anthropogenic pressures, socioeconomics factors related to vulnerability, <em>etc.</em>) are considered to be as important as data outlining a positive impact on health inequalities (<em>e.g.</em> natural resources, diversity and economic drive, <em>etc.</em>). 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. The excel document 'HEALTH_DETERMINANTS_NORTH_OF_FRANCE' contains two sheets: - Sheet '50 VARIABLES' provides the complete dataset for the 3,817 municipalities of "Hauts-de-France" region (located in the north of France), - Sheet 'DESCRIPTION' provides (i) a brief description of the data acronym and (ii) the unit of each data. 36 % of the raw data were integrated directly into the dataset, without calculation. The other 64 % were obtained by calculation. Complete details (source(s), time period, % of missing data, median [Q1;Q3], calculations) are provided in data article "Data for the assessment of vulnerability and resilience in the field of environmental health in the north of France".本数据集为《法国北部环境卫生领域脆弱性与韧性评估数据》一文的配套数据。欲深化对环境卫生与社会健康不平等的认知，亟需整合多维度数据。本研究的核心挑战在于构建一套可尽可能全面刻画研究区域的数据集。 本数据文章所呈现的数据集，可用于表征法国大都会区人口密度第二高的大区——法国北部上法兰西大区（Hauts-de-France Region）内健康决定因素的空间累积特征。该多维度数据集以精细尺度（即单个市镇）为单元，整合了经济、社会、环境、公共服务、健康及政策等维度的相关数据。 无论是加剧健康不平等的数据（如人为压力、与脆弱性相关的社会经济因素等），还是缓解健康不平等的数据（如自然资源、多元性与经济活力等），均被纳入研究范畴。 本研究提出的理论框架依托数据复用理念，从十余家公共及国家级数据库供应商处收集了2008年至2017年间的百余项变量。官方机构提供的数据源保障了采集信息的质量与可信度。 研究采用地理信息系统（Geographic Information System, GIS）完成现成数据的制图与编目，同时用于生成新数据或处理缺失值。经纳入与排除标准筛选后，最终保留50项变量，涵盖定量与定性两类数据。 最终生成的数据集全面刻画了上法兰西大区下辖的3817个市镇。本数据集可用于甄别该区域内脆弱性与韧性水平的分布格局。 本研究的创新分析方法详见论文《如何分析环境卫生韧性与脆弱性？基于法国北部复合指数的联合分析》，该文详细阐述了构建复合指数所采用的完整方法论。 本研究成果可为环境卫生领域的研究者、政策制定者及利益相关方提供重要参考，助力其识别各市镇的发展短板与优势特色。 本次提供的Excel文档"HEALTH_DETERMINANTS_NORTH_OF_FRANCE"包含两个工作表： - 工作表"50 VARIABLES"收录了法国北部上法兰西大区3817个市镇的完整数据集； - 工作表"DESCRIPTION"则分别说明（i）各数据缩写的规范含义，以及（ii）每项数据的计量单位。 原始数据中36%直接整合入本数据集，未经过额外计算；剩余64%则通过二次计算得到。完整的细节信息（含数据来源、时间范围、缺失数据占比、中位数[Q1;Q3]及具体计算方法）均刊载于数据文章《法国北部环境卫生领域脆弱性与韧性评估数据》中。