This is a collection of the datasets from a selection of the projects funded under Concordia University of Edmonton's (CUE) Special Call for Research Projects on COVID-19.

CUE’s academic community rallied to conduct activities aimed at understanding the complex problems posed by the COVID-19 pandemic. The efforts of our researchers have yielded important results, and CUE wishes to make these results available to potential stakeholders, so that they can be used in the development of future plans and policies.

We are thankful for the solidarity, engagement, and resilience of our research community.

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1 to 4 of 4 Results
Jun 29, 2022
Marjanovic, Zdravko; Comeau, Thea, 2022, "Exploring the relationship between threat arising from the COVID-19 pandemic and posttraumatic growth, values congruent behaviour, and prosocial behaviour",, Borealis, V2, UNF:6:+DNbHxoEooY3FGGd0NsxlQ== [fileUNF]
The COVID-19 pandemic presents an opportunity to study the collective traumatic impacts of a global health crisis. Collective trauma refers to an event or period of time during which large numbers of people are exposed to threat, in such a way that it impacts the beliefs or narra...
Jun 29, 2022
Stirling, Glenda; Kerley, Jolaine; Howarth, Caroline; Hiemstra, Josiah, 2022, "The Rapid Shift to Online Delivery and the Implications for Fine Arts Pedagogy",, Borealis, V2
The objectives of this research were to examine the impact of the rapid shift to online teaching due to Covid 19 on Fine Arts performance (Music and Drama) Students and Faculty and then to investigate the efficacy of integrating online strategies and resources to support traditio...
Jun 29, 2022
Bukutu, Cecilia, 2022, "Health information-seeking and behaviour among post-secondary students during the COVID-19 pandemic",, Borealis, V2
Introduction/background: The COVID-19 pandemic continues to have a significant global impact on the health and wellness of the population. Limited published literature exists on the information-seeking behaviour during the pandemic, of young adults, who were at start of the pande...
Jun 29, 2022
Saha, Baidya, 2022, "Machine Learning Based Rapid Self-Assessment and Understanding of COVID-19 Disease Progression to Support Public Policy Decisions",, Borealis, V2, UNF:6:Mg1eUIg76LWx8oTIIgWNoA== [fileUNF]
Covid-19 is an unprecedented global pandemic. Policymaking in this highly uncertain, complex, and rapidly changing environment has been extremely challenging which led to multiple waves of the pandemic. In this study machine and especially deep learning-based models have been dev...
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