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Updated: Jan 21, 2026

Spatial Separation of Molecular Conformers and Clusters
Published on: January 9, 2014
Spatial Clusters of Children with Cleft Lip and Palate and Their Association with Polluted Zones in the Monterrey
Francisco Manuel Gasca-Sanchez1, Jesus Santos-Guzman1, Ricardo Elizondo-Dueñaz2
1Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud. Monterrey 64710, Mexico.
Insights
Children with cleft lip and palate (CLP) cluster in polluted areas of Monterrey. Spatial analysis links CLP incidence to high particulate matter (PM10) and greenhouse gas concentrations.
Area of Science:
- Environmental Health
- Pediatric Epidemiology
- Spatial Analysis
Background:
- Cleft lip and palate (CLP) is a common congenital malformation.
- Understanding the spatial distribution of CLP can help identify environmental risk factors.
- The Monterrey Metropolitan Area (MMA) faces significant air pollution challenges.
Purpose of the Study:
- To investigate the spatial patterns of CLP cases in the MMA.
- To explore the association between CLP occurrence and environmental pollution.
- To identify potential environmental contributors to CLP.
Main Methods:
- Spatial analysis using Nearest Neighbor Index (NNI) and Spatial Statistical Scan (SaTScan).
- Geostatistical interpolation techniques: Empirical Bayesian Kriging (EBK) and Inverse Distance Weighting (IDW).
- Correlation analysis with environmental data: Particulate Matter (PM10) and greenhouse gas emissions.
Main Results:
- CLP cases exhibit significant spatial clustering in the MMA.
- Identified clusters with up to 12 CLP cases within a 1.2 km radius.
- 95% of CLP cases showed spatial interaction with PM10 levels exceeding 50 points.
- 83% of CLP cases were associated with approximately 2000 annual tons of greenhouse gas emissions.
Conclusions:
- CLP distribution in the MMA is spatially aggregated.
- Environmental pollutants, specifically PM10 and greenhouse gases, are potentially associated with CLP incidence.
- Findings support further research into environmental and genetic factors influencing congenital malformations like CLP.
Abstract:
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 (PM10) 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.
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