Visualizing the COVID-19 Pandemic: Retrospective Insights and Implications for Public Health Strategies

This paper presents a comprehensive visualization-driven data analysis of the COVID-19 pandemic, focusing on key aspects such as new cases, vaccination rates, and demographic factors. Various visualization techniques, including line plots, scatter plots, pie charts, and bar plots, were employed to illustrate and interpret the rich data. Our findings reveal important insights into the evolution of new cases over time, the distribution of vaccination rates across continents, the impact of demographic factors on COVID-19-related deaths, and the effectiveness of stringency measures implemented by authorities. Surprisingly, the analysis highlighted variations in mortality rates among different age groups, suggesting a potential disparity in pandemic response. The study underscores the importance of collective responsibility in combating viral outbreaks, and emphasizes the need for targeted interventions based on demographic considerations. Overall, this paper contributes to a better understanding of the COVID-19 pandemic through graphically informative data visualizations.