Congratulations to researchers funded through the 2023 Data Analysis Using Existing Databases and Cohorts Operating Grant competition!
The 2023 Data Analysis competition was led by IHDCYH in partnership with the CIHR Institute of Infection and Immunity (III) and Indigenous Services Canada – First Nations and Inuit Health Branch (ISC-FNIHB), with additional support from the CIHR Institutes of Cancer Research; Circulatory and Respiratory Health; Gender and Health; Health Services and Policy Research; and Musculoskeletal Health and Arthritis.
Thanks to support from each of these partners, in the 2023 competition we were able to fund 20 projects. This funding opportunity supports projects that use data from existing Canadian-based cohorts, databases, cohort catalogues, and data platforms, and are relevant to human development, child and/or youth health with the goal to inform improved patient, population, and system outcomes. Congratulations to all the funded researchers.
- Marie C Arrieta Mendez, University of Calgary – Systems-level repertoire of human milk components as drivers of microbial and immune development in preterm infants
- Hilary Brown, University of Toronto – Immune-related disorders in adolescence and future risk of endometriosis: A population-based cohort study
- Ginny Brunton, University of Ontario Institute of Technology – Prevalence and outcomes of water birth versus 'land' birth in Ontario mothers and neonates at low risk of complications: a secondary analysis of routinely collected BORN data.
- Vincy Chan, University Health Network (Toronto) – A longitudinal, population-based birth cohort study to understand long-term health service use after sustaining a traumatic brain injury during childhood and adolescence
- Katherine T Cost, McMaster University – Temporal Trends in the Distribution of Child and Youth Mental Ill-Health from 1983 to 2023: Evidence from 4 General Population Based Samples in Ontario
- Claire de Oliveira, Centre for Addiction and Mental Health (Toronto) – Understanding the impact of maternal depression on offspring later life socioeconomic outcomes
- Derek K Chu, McMaster University – Investigating the effect of prepartum, intrapartum, and postpartum factors and the Risk of Food Allergy in Children: Evidence from the CHILD Cohort Study
- Marie-Claude Geoffroy, CIUSSS de l'Ouest-de-l'Ile-de-Montréal-Douglas Hospital – Mental Health of Sexual Diverse Youth
- Steven Hawken, Ottawa Hospital Research Institute – Deep Learning Models for Prediction of Pre-eclampsia from Prenatal Ultrasound Placental Imaging
- Ashraf Kharrat, Sinai Health System (Toronto) – Incidence and outcomes of neonatal septic shock in Canada: a nationwide population-based observational study
- Robert A Kleinman, Centre for Addiction and Mental Health (Toronto) – Comparative effectiveness of medications for opioid use disorder among youth
- Azadeh Kushki, Holland Bloorview Kids Rehabilitation Hospital (Toronto) – Predicting medication usage for autistic children using machine learning
- Catherine A Lebel, University of Calgary – Uncovering the neurobiological underpinnings of learning to read and reading disorders
- Giulia Muraca, McMaster University – Mental illness among individuals with severe maternal morbidity
- Tamara L Taillieu, University of Manitoba – A Population-Based Examination of the Public Health Impacts of the Legalization of Recreational Use of Cannabis on Children and Youth from Manitoba
- Evelyne Touchette, Université du Québec à Trois-Rivières – Sleep is not just a matter of night: Understanding the etiology of naps in 2.5- to 6-year-olds
- Mark Wade, University of Toronto – Intergenerational transmission of early adversity from mothers to their children: Testing mechanisms in a large Canadian birth cohort
- Samantha L Wilson, McMaster University – Developing sex-specific predictive models for preeclampsia
- Lyndia (Chun) Wu, University of British Columbia – Using clinical polysomnography data and machine learning to determine minimum sensing requirements for pediatric sleep studies
- Aleksandra M Zuk, Queen's University (Kingston, Ontario) – Neonatal and Obstetric Health Outcomes among Women Diagnosed with Vasa Previa in Canada (NOHOW-VP)
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