Analysis and Prediction on Healthcare of COVID-19

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.

Publication Details

Journal
The Frontiers of Society Science and Technology
Published
2025-01-01
DOI
https://doi.org/10.25236/fsst.2025.070306
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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Analysis and Prediction on Healthcare of COVID-19

The Frontiers of Society Science and Technology
COVID-19 epidemiological studies
article

Analysis and Prediction on Healthcare of COVID-19

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Abstract

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.

The Frontiers of Society Science and TechnologyVol. 7(3)
Openalex Percentile: Top 88%
COVID-19 epidemiological studies
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