Suchergebnisse

Canadian South Asians are being economically, socially, politically, and culturally impacted by the COVID-19 pandemic. There is currently a gap in the literature on the unique challenges faced by this specific group of individuals. People of color and ethnic minorities are being homogenized in the media and throughout the literature when addressing populations disproportionally impacted by the current situation. This commentary aims to add a new perspective to the current literature by specifically exploring factors that may contribute to the high rates of COVID-19 among South Asian communities in Canada. Another goal is to highlight the importance of providing tailored support and attention for this community and the negative consequences if this is not correctly done. Factors such as overrepresentation in essential work and financial instability are discussed. Pre-existing health conditions among South Asians such as diabetes, hypertension, anxiety, and mood disorder are considered, as well as how the history of these conditions within this population elevates the risk of severe health complications. This commentary presents suggestions for addressing this gap in research, as well as directions for future public health initiatives and policies.

Objective: This study aimed to explore topics and sentiments using tweets from Ontario, Canada, during the second wave of the COVID-19 pandemic. Methods: Tweets were collected from December 5, 2020, to March 6, 2021, excluding non-individual accounts. Dates of vaccine-related events and policy changes were collected from public health units in Ontario. The daily number of COVID-19 cases was retrieved from the Ontario provincial government's public health database. Latent Dirichlet Allocation was used for unsupervised topic modelling. VADER was used to calculate daily and average sentiment compound scores for topics identified. Results: Vaccine, pandemic, business, lockdown, mask, and Ontario were six topics identified from the unsupervised topic modelling. The average sentiment compound score for each topic appeared to be slightly positive, yet the daily sentiment compound scores varied greatly between positive and negative emotions for each topic. Conclusion: Our study results have shown a slightly positive sentiment on average during the second wave of the COVID-19 pandemic in Ontario, along with six topics. Our research has also demonstrated a social listening approach to identify what the public sentiments and opinions are in a timely manner.