Authors
Osornio-Varga AR 4. Serrano-Lomelin J, Nielsen CC, Jabbar SM, Wine O, Bellinger C, Villeneuve PJ, Stieb D, Aelicks N, Aziz K, Buka I, Chandra S, Crawford S, Demers P, Erickson AC, Hystad P, Kumar M, Phipps E, Shah PS, Yuan Y, Zaiane OR
Publication date
2019
Journal
Environmental International
Volume
131
Pages
104972
Description
Background
Adverse birth outcomes (ABO) such as prematurity and small for gestational age confer a high risk of mortality and morbidity. ABO have been linked to air pollution; however, relationships with mixtures of industrial emissions are poorly understood. The exploration of relationships between ABO and mixtures is complex when hundreds of chemicals are analyzed simultaneously, requiring the use of novel approaches.
Objective
We aimed to generate robust hypotheses spatially linking mixtures and the occurrence of ABO using a spatial data mining algorithm and subsequent geographical and statistical analysis. The spatial data mining approach aimed to reduce data dimensionality and efficiently identify spatial associations between multiple chemicals and ABO.
Methods
We discovered co-location patterns of mixtures and ABO in Alberta, Canada (2006–2012). An ad-hoc spatial data mining algorithm …
Scholar articles
J Serrano-Lomelin, CC Nielsen, MSM Jabbar, O Wine… - Environment international, 2019