The study provides evidence regarding the concerns and fears of high-risk COVID-19 groups as expressed via social media. ResultsDescriptive analysis of high-risk COVID-19 tweets On the first attempt, we sourced 10,652 tweets. Sentiment and emotional quotient analysis of high-risk COVID-19 tweets We performed a sentiment analysis to better understand the nature of the collected tweets and deduce public perception (Figure 6). The Y axis is the percentage of sentiments of all analyzed tweets, while the X axis refers to the emotion in #highriskcovid tweets. This might be because of inadequate knowledge of CEV (high-risk) individuals and points to a need to increase awareness about high-risk individuals.

Source: The Guardian September 19, 2022 15:27 UTC