Investigating SARS-CoV-2 infection and the health and psychosocial impact of the COVID-19 pandemic in the Canadian CHILD Cohort: study methodology and cohort profile
- DOI
- Language of the publication
- English
- Date
- 2022-10-21
- Type
- Submitted manuscript
- Author(s)
- Azeez, Rilwan
- Lotoski, Larisa
- Dubeau, Aimée
- Medeleanu, Maria
- Winsor, Geoffrey L.
- Brinkman, Fiona S. L.
- Goguen, Stephanie
- Cameron, Emily E.
- Roos, Leslie
- Simons, Elinor
- Moraes, Theo J.
- Mandhane, Piush J.
- Turvey, Stuart E.
- Bolotin, Shelly
- Wright, Kim
- McNeil, Deborah
- Patrick, David M.
- Bullard, Jared
- Langlois, Marc-André
- Arnold, Corey R.
- Galipeau, Yannick
- Pelchat, Martin
- Doucas, Natasha
- Subbarao, Padmaja
- Azad, Meghan B.
- Rodriquez, Natalie
- Reyna, Myrtha E.
- Freitas, Tyler
- Publisher
- medRxiv
Abstract
Background: Methods: Interpretation:
The COVID-19 pandemic is affecting all Canadian families, with some impacted
differently than others. Our study aims to: 1) determine the prevalence and transmission of SARSCoV-2 infection among Canadian families, 2) identify predictors of infection susceptibility and
severity of SARS-CoV-2 and 3) identify health and psychosocial impacts of the COVID-19 pandemic.
This study builds upon the CHILD Cohort Study, an ongoing multi-ethnic general
population prospective cohort consisting of 3454 Canadian families with children born in Vancouver,
Edmonton, Manitoba, and Toronto between 2009-12. During the pandemic, 1462 CHILD households
(5378 individuals) consented to participate in the CHILD COVID-19 Add-On Study involving: (1) brief
biweekly surveys about COVID-19 symptoms and testing; (2) quarterly questionnaires assessing
COVID-19 exposure, testing and vaccination status, physical and mental health, and pandemicdriven life changes; (3) in-home biological sampling kits to collect blood and stool. Mean ages were
9 years (range 0-17) for children and 43 years (range 18-85) for adults. Prevalence of SARS-CoV-2
infection will be estimated from survey data and confirmed through serology testing. We will
combine these new data with a wealth of pre-pandemic CHILD data and use multivariate modelling
and machine learning methods to identify risk and resilience factors for susceptibility and severity
to the direct and indirect effects of the pandemic.
Our short-term findings will inform key stakeholders and knowledge users to shape
current and future pandemic responses. Additionally, thisstudy provides a unique resource to study
the long-term impacts of the pandemic as the CHILD Cohort Study continues.
Subject
- Health,
- Coronavirus diseases,
- Psychology
Rights
Peer review
No
Article
- Journal title
- medRxiv