Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud. Monterrey 64710, Mexico.
Casa Azul, A.C. San Pedro Garza Garcia 66230, Mexico.
Int J Environ Res Public Health. 2019 Jul 12;16(14):2488. doi: 10.3390/ijerph16142488.
This study examines the spatial structure of children with cleft lip and palate (CLP) and its association with polluted areas in the Monterrey Metropolitan Area (MMA). The Nearest Neighbor Index (NNI) and the Spatial Statistical Scan (SaTScan) determined that the CLP cases are agglomerated in spatial clusters distributed in different areas of the city, some of them grouping up to 12 cases of CLP in a radius of 1.2 km. The application of the interpolation by empirical Bayesian kriging (EBK) and the inverse distance weighted (IDW) method showed that 95% of the cases have a spatial interaction with values of particulate matter (PM) of more than 50 points. The study also shows that 83% of the cases interacted with around 2000 annual tons of greenhouse gases. This study may contribute to other investigations applying techniques for the identification of environmental and genetic factors possibly associated with congenital malformations and for determining the influence of contaminating substances in the incidence of these diseases, particularly CLP.
本研究考察了唇腭裂（CLP）儿童的空间结构及其与蒙特雷大都市区（MMA）污染区域的关联。最近邻指数（NNI）和空间统计扫描（SaTScan）确定，CLP 病例呈聚集性分布在城市不同区域的空间聚类中，其中一些聚类在 1.2 公里的半径范围内聚集了多达 12 例 CLP。经验贝叶斯克里金插值（EBK）和反距离加权（IDW）方法的应用表明，95%的病例与 PM 值超过 50 的空间相互作用。该研究还表明，83%的病例与大约 2000 吨/年的温室气体相互作用。本研究可能有助于其他调查，应用技术识别可能与先天畸形相关的环境和遗传因素，并确定污染物在这些疾病（特别是 CLP）发病中的影响。
