The COVID-19 pandemic has had a profound effect on global health and economies, leading governments to adopt various measures to mitigate its spread. This study explores how different policies and public responses have influenced pandemic management by analyzing social media data, official government reports, and statistical trends. By assessing the effectiveness of policies and shifts in public sentiment, this research provides a deeper understanding of the factors shaping the global response to COVID-19. Through statistical analysis, correlation models, and data visualization, this study identifies the most commonly implemented policies and their impact on infection control and public perception. Additionally, predictive analysis is used to examine potential future trends in infection rates. The findings offer valuable insights for policymakers and communities, supporting informed decision-making, improving pandemic preparedness, and fostering public awareness of effective health measures.

Yilou Yan. Analysis and Prediction on Healthcare of COVID-19. The Frontiers of Society, Science and Technology(2025), Vol. 7, Issue 3: 41-49. https://doi.org/10.25236/FSST.2025.070306.

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