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Leanne Betasamosake Simpson is a renowned Michi Saagiig Nishnaabeg musician, writer and academic, who has been widely recognized as one of the most compelling Indigenous voices of her generation. Her work breaks open the boundaries between story and song—bringing audiences into a rich and layered world of sound, light, and sovereign creativity. Leanne has performed in venues and festivals across Canada with her sister singer songwriter Ansley Simpson and guitarist Nick Ferrio. Leanne’s second album, f(l)light, was released in 2016 and is a haunting collection of story-songs that effortlessly interweave Simpson’s complex poetics and multi-layered stories of the land, spirit, and body with lush acoustic and electronic arrangements. Her EP Noopiming Sessions combines readings from her novel Noopiming with soundscapes composed and performed by Ansley Simpson and James Bunton with a gorgeous video by Sammy Chien and the Chimerik Collective. It was produced during the on-going social isolation of COVID-19 and was released on Gizhiiwe Music in the Fall of 2020. Leanne is the author of seven books, including This Accident of Being Lost, which won the MacEwan University Book of the Year; was a finalist for the Rogers Writers’ Trust Fiction Prize and the Trillium Book Award; was long listed for CBC Canada Reads; and was named a best book of the year by the Globe and Mail, the National Post, and Quill & Quire. Her new novel Noopiming: The Cure for White Ladies was released by the House of Anansi Press in the fall of 2020 and in the US by the University of Minnesota Press in 2021 and was named one of the Globe and Mail’s best books of the year and was short listed for the Governor General’s Literary Award for fiction. A Short History of the Blockade was released by the University of Alberta Press in early 2021. Her new project with Robyn Maynard,Rehearsals for Living will be released in 2022 by Knopf Canada. Her newest record, Theory Of Ice was released by You’ve Changed Records in the winter of 2021, and features the artistic brilliance of Ansley Simpson, Nick Ferrio, Jim Bryson, John K. Samson, Jonas Bonnetta and Sandra Brewster.

An infographic describing the results of the following study published in the Canadian Journal of Public Health: "Older adults living in social housing in Canada: the next COVID-19 hotspot?" Older adults in social housing have high rates of chronic diseases and live in clustered housing, creating the ideal situation for a tragic outbreak in this vulnerable population, which has been largely unrecognized in the public health discourse. It is estimated that two thirds of this population have cardiometabolic conditions that put them at higher risk of poor outcomes from COVID-19. In addition, their social isolation, low mobility, low health literacy, and limited internet access are barriers to accessing basic needs, health information, and health care in a Canadian context where many services have moved to virtual platforms. Since older adults in social housing tend to be clustered in apartment buildings with shared facilities, there is an increased risk of exposure through common spaces (e.g., elevator, laundry room) and high-touch surfaces. Compared to long-term care homes, there is substantial movement in and out of social housing buildings as residents are required to go out to meet their basic needs and individuals providing support enter the buildings without screening (e.g., personal support workers, volunteers delivering groceries). Without a targeted public health strategy to support this vulnerable population, we surmise that social housing will be the next COVID-19 hotspot.

In the sixth episode of our Below the Radar Conversations Series, we talk with Angela Marie MacDougall, Executive Director of Battered Women's Support Services here in Vancouver, Canada. With our host Am Johal, she discusses how COVID-19 is affecting gender inequality and violence within intimate relationships. Angela Marie MacDougall is the Executive Director of Battered Women's Support Services Society. You can learn more here:https://www.bwss.org/

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%.

Introduction: Active transportation (AT) has dual benefits: population health benefits with increased physical activity and environmental sustainability with decreased carbon emissions. Despite the city’s low geographic density, residents of Kingston, Canada use AT for 9.5% of trips, compared to the country’s average of 6.9%. Additionally, employees of Queen’s University demonstrated even higher rates of active commuting before the COVID-19 pandemic. The objective of this study was to compare the levels and correlates of transportation use among Queen’s University employees pre- versus post-COVID-19 pandemic. Methods: Self-reported, repeated cross-sectional, and quasi-experimental data were used from the Surveys of Commute Patterns among Queen’s University Employees, conducted in 2013 to 2017 (n = 3874) and 2022 (n = 2430). Respondents’ primary mode of transportation between home and workplace was categorized as either AT, passive transportation (PT), or mixed transportation (MT) when different modes were combined. A descriptive analysis and chi-square test were performed to compare the levels of transportation use before and after the COVID-19 pandemic. A series of logistic regressions were conducted to identify the individual- and microsystem-level correlates of AT use before and after the COVID-19 pandemic. Results: AT use decreased after the COVID-19 pandemic, from 28.3% to 23.6%, mirroring the increased use of passive transport (52.1% to 55.4%). Within-subject comparisons showed that young and low-income respondents were the most likely to shift transport types from pre- to post-COVID-19 pandemic. At all time points, females/women were less likely to use AT than males/men. After the COVID-19 pandemic, income emerged as a key correlate of AT use. Conclusion: Significant world events like the COVID-19 pandemic appear to influence transportation choices and modes in unique ways among Queen’s employees. In general, AT was found to decline. Age and household income were important correlates for commute shifting since the COVID-19 pandemic. Sex/gender became a more important correlate in shaping transport mode post-COVID-19. To encourage shifting to more sustainable and health-enhancing transport modes among those with low and/or declining rates of AT, changes to supportive social environment and infrastructure must be considered in the Queen’s University community.

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.

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.