Grant: Collaborative Health Research Projects
University of Alberta
$262,361.00
Spatial data mining exploring co-location of adverse birth outcomes and environmental variables
FY 2014-15
Summary
Adverse birth outcomes (ABO), such as prematurity and low-birth weight, have immediate and long-term healthconsequences, including serious emotional and economic impacts on society. Current research identified relationshipsbetween ABO maternal factors, social factors and certain pollutants. Investigating links between pollutants and ABO hasbeen limited by the challenge of evaluating all those factors in combination. This study will use new methods based on datamining to investigate relationships of industrial emissions and different social factors with ABO, considering wind patterns,urban pollution and maternal factors. We will use data from 1) the National Pollution Release Inventory (>300 chemicalsannual emissions); 2) Statistics Canada, CIHR MiCare Program, and the Canadian Perinatal Programs Coalition (birthoutcomes, maternal and socioeconomic variables); 3) CAREX (urban air pollution models), and 4) Environment Canada,Ministry of Agriculture (wind data). Maps will be created to present results. Investigators from different disciplines andinstitutions will participate (e.g. computing sciences, neonatology, epidemiology, and knowledge translation) as well asinterested stakeholders from Health Canada, the Canadian Perinatal Programs Coalition, and the Canadian Partnership forChildren's Health & Environment. We anticipate that this study, by identifying complex interactions between all these factorsin specific locations, will identify areas of Canada where increased rates of ABO, specific industrial emissions andsocioeconomic factors co-exist. The study will also identify areas that may require further investigation, how existing datacan be used for the study of pollution/disease and the usefulness of methods developed in this project for addressingcomplex health problems. Highly qualified personnel will be trained as well. The knowledge gained will contribute tounderstand the complex problem of ABO and promote Canadian mothers and infants' health.
Program
Collaborative Health Research Projects
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
446385-2013
Name nom
OsornioVargas, Alvaro
Department département
Medicine and Dentistry, Faculty of
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2013
Award amount
262361
Program id
CHRPJ
Program name en
Collaborative Health Research Projects
Program name fr
Projets de recherche concertée sur la santé
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
360
Committee name en
Collaborative Health Research Projects Selection Panel
Committee name fr
Comité de sélection de projets de recherche concertée sur la santé
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
2 & 3
Nb partie
3
Application title
Spatial data mining exploring co-location of adverse birth outcomes and environmental variables
Keyword
NSERC
Application summary
Adverse birth outcomes (ABO), such as prematurity and low-birth weight, have immediate and long-term healthconsequences, including serious emotional and economic impacts on society. Current research identified relationshipsbetween ABO maternal factors, social factors and certain pollutants. Investigating links between pollutants and ABO hasbeen limited by the challenge of evaluating all those factors in combination. This study will use new methods based on datamining to investigate relationships of industrial emissions and different social factors with ABO, considering wind patterns,urban pollution and maternal factors. We will use data from 1) the National Pollution Release Inventory (>300 chemicalsannual emissions); 2) Statistics Canada, CIHR MiCare Program, and the Canadian Perinatal Programs Coalition (birthoutcomes, maternal and socioeconomic variables); 3) CAREX (urban air pollution models), and 4) Environment Canada,Ministry of Agriculture (wind data). Maps will be created to present results. Investigators from different disciplines andinstitutions will participate (e.g. computing sciences, neonatology, epidemiology, and knowledge translation) as well asinterested stakeholders from Health Canada, the Canadian Perinatal Programs Coalition, and the Canadian Partnership forChildren's Health & Environment. We anticipate that this study, by identifying complex interactions between all these factorsin specific locations, will identify areas of Canada where increased rates of ABO, specific industrial emissions andsocioeconomic factors co-exist. The study will also identify areas that may require further investigation, how existing datacan be used for the study of pollution/disease and the usefulness of methods developed in this project for addressingcomplex health problems. Highly qualified personnel will be trained as well. The knowledge gained will contribute tounderstand the complex problem of ABO and promote Canadian mothers and infants' health.