山西省阳朔县新生儿神经管畸形出生缺陷环境风险因子数据集

自然环境、人为污染、营养及其相互作用可能是导致人类疾病的主要原因。这些疾病的决定因素在地理单元中具有独特的空间分布，因此对它们的充分研究需要对相关地理层进行调查。基于对地理层的空间变异分析，我们提出了四种地理探测器来评估环境健康风险：风险探测器指出风险区域所在；因素探测器识别导致风险的因素；生态探测器揭示了各因素之间的相对重要性；相互作用探测器可以揭示危险因素是相互作用还是独立导致疾病。在一项现实世界的研究中，主要的物理环境(流域、岩石带和土壤)被发现能够有力地控制和顺地区(中国)神经管缺陷(NTD)的发生。基本营养(食物)比人为污染(化肥)在控制NTD空间格局方面更为重要。从地质断层中释放出来的古代物质随后沿着斜坡扩散，极大地增加了新台币运输的风险。这些发现为相关地区的疾病干预策略提供了有价值的投入。

Natural environments, anthropogenic pollution, nutrition, and their interactions are likely leading causes of human diseases. The determinants of these diseases exhibit distinct spatial distributions across geographic units, thus thorough studies of these determinants require analyses of relevant geographic layers. Based on spatial variability analysis of geographic layers, we propose four geographic detectors for assessing environmental health risks: the Risk Detector identifies the locations of high-risk areas; the Factor Detector identifies the factors contributing to risks; the Ecological Detector reveals the relative importance of different factors; and the Interaction Detector determines whether risk factors interact synergistically or act independently to induce diseases. In a real-world case study, major physical environments (including watersheds, rock zones and soils) were found to strongly control the incidence of neural tube defects (NTDs) in the Shun'an region, China. Basic nutrition (derived from food) plays a more significant role than anthropogenic pollution (such as fertilizers) in shaping the spatial patterns of NTDs. Ancient substances released from geological faults subsequently spread along slopes, greatly elevating the risk of NTD dissemination. These findings offer valuable insights for developing disease intervention strategies in relevant regions.

搜集汇总

背景与挑战

背景概述

该数据集研究了山西省阳朔县新生儿神经管畸形出生缺陷与环境风险因子的关系，通过地理探测器方法发现物理环境和基本营养是主要影响因素，为疾病干预策略提供了依据。