Unsafe Sanitation and the Global Incidence of Congenital Heart Disease: A Spatial Correlation Analysis
Yi Shen1,2,3,#, Zeye Liu4,#, Jing Xie5,#, Xuanqi An6,7,8,#, Zeyu Jing1,2,3, Wenchuan Liao1,2,3, Yifan Zhu1,2,3, Chenyu Jiang1,2,3, Xingliang Zhou1,2,3, Xu Huang1,2,3, Tianyu Liu1,2,3, Jian Liu1,2,3, Yuxi Ji1,2,3, Yi Yan1,3, Bei Feng1,3, Yiwei Liu1,2,3, Yi Shi4,*, Yanjun Sun2,*, Hao Zhang1,2,3,*
Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.085942
- 31 July 2026
Abstract Background: Congenital heart disease (CHD) is the most common congenital anomaly worldwide, yet the contribution of environmental factors to its global geographic variation remains incompletely understood. We aimed to systematically identify environmental factors associated with CHD incidence using an integrated framework combining machine learning and spatial epidemiology. Methods: Country-level data were obtained from the Global Burden of Disease (GBD) 2021 study. Boruta algorithm-based feature selection and random forest SHAP value ranking were applied to identify environmental factors associated with CHD incidence. Negative binomial regression was used to evaluate the associations between selected variables and CHD incidence.… More >