Base de données de recherche subventionnée canadienne sur la COVID-19

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The association between COVID-19-related attitudes, concerns and behaviours in relation to public health policies: A behavioural science approach to optimising policy strategies to improve health, economic and quality of life outcomes (the iCARE Study).

Lavoie, Kim | Université du Québec à Montréal | Project Grant | $638,775

CIHR Quebec 2021

Intranasal multivalent vaccines targeting COVID‑19 variants of concern

Liu, Jun | University of Toronto | Operating Grant | $499,416

CIHR Ontario 2021

COVID-19 Variant Supplement – Protecting healthcare workers from COVID-19: A comparative contextualized analysis

Yassi, Annalee | University of British Columbia | Operating Grant | $49,626

CIHR British Columbia 2021

Knowledge mobilization activities to support decision-making by public citizens using a systematic and living map of evidence and recommendations on COVID-19

Schunemann, Holger J | McMaster University | Operating Grant | $993,919

CIHR Ontario 2021

Identifying strategies to (re)build trust in Canadian social institutions and increase public acceptance of COVID‑19 countermeasures

Meyer, Samantha | University of Waterloo | Operating Grant | $216,403

CIHR Ontario 2021

Coping strategies and mental health: quantitative and qualitative insight into the COVID‑19 experience in young adults

Sylvestre, Marie-Pierre | Centre hospitalier de l'Université de Montréal | Project Grant | $457,422

CIHR Quebec 2021

COVID-19 Variant Network – Are healthcare workers at higher risk of COVID‑19 than other working adults?

McGeer, Allison J | Sinai Health System | Operating Grant | $100,000

CIHR Ontario 2021

All-cause and cause-specific acute morbidity attributable to Covid-19 epidemic, severe Covid-19 symptoms, and adverse birth outcomes in Canada.

Lisonkova, Sarka | University of British Columbia | Project Grant | $168,300

CIHR British Columbia 2021

COVID-19 Variant Network – Analysis of Antibody Neutralization Efficiency and Cellular Immunity in SARS-CoV-2-Positive Individuals Identified in At-Risk Individuals

Langlois, Marc-Andre | University of Ottawa | Operating Grant | $100,000

CIHR Ontario 2021

COVID-19 Variant Supplement – Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.

Vigo, Daniel V | University of British Columbia | Operating Grant | $50,000

CIHR British Columbia 2021

Base de données de recherche subventionnée canadienne sur la COVID-19

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The association between COVID-19-related attitudes, concerns and behaviours in relation to public health policies: A behavioural science approach to optimising policy strategies to improve health, economic and quality of life outcomes (the iCARE Study).

Intranasal multivalent vaccines targeting COVID‑19 variants of concern

COVID-19 Variant Supplement – Protecting healthcare workers from COVID-19: A comparative contextualized analysis

Knowledge mobilization activities to support decision-making by public citizens using a systematic and living map of evidence and recommendations on COVID-19

Identifying strategies to (re)build trust in Canadian social institutions and increase public acceptance of COVID‑19 countermeasures

Coping strategies and mental health: quantitative and qualitative insight into the COVID‑19 experience in young adults

COVID-19 Variant Network – Are healthcare workers at higher risk of COVID‑19 than other working adults?

All-cause and cause-specific acute morbidity attributable to Covid-19 epidemic, severe Covid-19 symptoms, and adverse birth outcomes in Canada.

COVID-19 Variant Network – Analysis of Antibody Neutralization Efficiency and Cellular Immunity in SARS-CoV-2-Positive Individuals Identified in At-Risk Individuals

COVID-19 Variant Supplement – Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.