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This dataset provides information related to the outbreak of COVID-19 disease in the United States, including data from each of 3142 US counties from the beginning of the outbreak (January 2020) until June 2021. This data is collected from many public online databases and includes the daily number of COVID-19 confirmed cases and deaths, as well as 46 features that may be relevant to the pandemic dynamics: demographic, geographic, climatic, traffic, public-health, social-distancing-policy adherence, and political characteristics of each county. We anticipate many researchers will use this dataset to train models that can predict the spread of COVID-19 and to identify the key driving factors.

When Dr. Harold Riemer, Professor and Dean with the Faculty of Kinesiology and Health Studies (KHS), was looking at what the upcoming semesters in KHS would look like, he knew that he wanted to find a way to offer a classroom experience to students, while adhering to all COVID-19 restrictions. The faculty worked together and came up with creative solutions to have small, in-person classes in addition to an extensive amount of remote courses. Staff no

Classical epidemiological models assume mass action. However, this assumption is violated when interactions are not random. With the recent COVID-19 pandemic, and resulting shelter in place social distancing directives, mass action models must be modified to account for limited social interactions. In this paper we apply a pairwise network model with moment closure to study the early transmission of COVID-19 in New York and San Francisco and to investigate the factors determining the severity and duration of outbreak in these two cities. In particular, we consider the role of population density, transmission rates and social distancing on the disease dynamics and outcomes. Sensitivity analysis shows that there is a strongly negative correlation between the clustering coefficient in the pairwise model and the basic reproduction number and the effective reproduction number. The shelter in place policy makes the clustering coefficient increase thereby reducing the basic reproduction number and the effective reproduction number. By switching population densities in New York and San Francisco we demonstrate how the outbreak would progress if New York had the same density as San Francisco and vice-versa. The results underscore the crucial role that population density has in the epidemic outcomes. We also show that under the assumption of no further changes in policy or transmission dynamics not lifting the shelter in place policy would have little effect on final outbreak size in New York, but would reduce the final size in San Francisco by 97%.

Thesis submitted in partial fulfillment of the requirements for the degree of Honour’s Psychology, B.A.

The University of Manitoba’s science librarians developed a three-credit, second-year course entitled “Information Skills for the Sciences” that was delivered for the first time in the fall of 2020. The culminating project of the course was a scientific poster session where students shared their research project as a poster presentation with their instructors and classmates. Due to the COVID-19 pandemic, the course was moved to online synchronous delivery and all assignments needed to be adapted for the online format. We designed a virtual poster session simulating an in-person event, hosting the poster session on Zoom for a class of twenty students using breakout rooms to separate presentations. Our poster details the methods used to deliver an online in-class poster session in an undergraduate setting with visualizations to illustrate the experience. Despite the conditions of remote learning, the poster presentation session allowed students to engage meaningfully with the research of their classmates demonstrating that an exciting end-of-semester event like an in-person poster session was possible in an online environment. We discuss the challenges we encountered creating the poster session as well as our reflections on what worked and what might be improved in the future.

L’accessibilité des sites Web des bibliothèques universitaires est devenue de plus en plus importante à mesure que ceux-ci ont occupé davantage de place pour les communautés d’usagères et d’usagers. La pandémie de COVID-19 a permis de comprendre le caractère essentiel de l’accessibilité en ligne, puisque les contacts numériques sont devenus les seuls possibles pendant un temps. Malgré l’instauration de politiques dans les institutions et aux différents paliers de gouvernements, les recherches précédentes démontrent que les lacunes à ce niveau sont grandes. Ce travail, réalisé pendant le premier confinement au Canada, évalue l’accessibilité des sites Web des bibliothèques des 15 universités canadiennes les plus importantes en recherche (U15) grâce à une grille d’évaluation conçue à partir de la revue de littérature. Un système de pointage permet de réaliser que les bibliothèques dont les institutions ont des politiques d’accessibilité en ligne ont des sites Web répondant mieux aux critères d’accessibilité que les autres. Même s’il reste du travail à faire pour effacer les obstacles en ligne, l’augmentation du nombre de politiques institutionnelles à ce sujet semble démontrer que les bibliothèques universitaires sont sur la bonne voie pour améliorer l’accessibilité de leur site Web. Travail réalisé à l’EBSI, Université de Montréal, sous la direction de M. Jean-Sébastien Sauvé dans le cadre du cours SCI6772 - Séminaire : bibliothèques de recherche, à l'hiver 2020.

In January of 2022, the self entitled #UnitedWeRoll convoy arrived in Ottawa and other locations around Canada to demonstrate against COVID-19 health measures and protest governments in Canada. While the group originated online, the in-person demonstrators commenced a month-long occupation that impacted international trade, community safety and brought the still raging conversation about COVID-19 even more to the forefront of Canadian society. With online communities being an influential venue for political discussion, it is important to understand the role of social media platforms and how social media content creators contribute to social and political movements on and offline. In this research, I analyze social media content produced by members of the far right on TikTok using the 2022 Canadian anti COVID-19 mandate demonstrations as a case study in order to gain insight into how far right movements in Canada grow and recruit new members to their networks.

Strength, resilience, adaptability, and compassion - these are the building blocks of the Regina COVID-19 Volunteer Community Response Team, a community support network initiated by Dr. JoLee Sasakamoose, Associate Professor in Educational Psychology and Counselling at the University of Regina. Since a state of emergency was announced by the Government of Saskatchewan in March 2020, the Regina COVID Response team of five core members and numerous volunteers has been working day and night to support Elders and other vulnerable Indigenous people in Regina, who do not have a network of family or caregivers. Staff no

In an urban context, the immigrant church is not only a place of worship, but it is also a community hub, a cultural center, and a social gathering place. When COVID-19 was declared a global pandemic in March 2020, there began a ripple effect of economic, social and mental health impacts. This study explores the use of social capital at three Korean immigrant churches in the Greater Toronto Area and Metro Vancouver to demonstrate community resilience. This research explores how and what kinds of supports were provided between the leadership and congregation, as well as between congregant-to-congregant. Although the physical locations were closed, the communications infrastructure and social relationships that existed prior to COVID were instrumental in sustaining a support network for Korean churchgoers during the pandemic. The immigrant church is a valuable urban asset that cities ought to support and partner with for future shock and stress events.

[English] CP@clinic has responded and adapted to the COVID-19 pandemic. The program has specific components to facilitate virtual program implementation, which are supported by a SMART database. [Français] PC@clinique répond et s'adapte à la pandémie de COVID-19. Le programme comprend des composants spécifiques pour faciliter la mise en oeuvre du programme virtuel, qui sont soutenus par une base de données INTELLIGENTE.