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A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media
Muhammad Junaid Butt1, Ahmad Kamran Malik1, Nafees Qamar2
1Department of Computer Science, COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan.
Sensors (Basel, Switzerland)
|July 8, 2023
Summary
This survey explores how artificial intelligence (AI), machine learning, deep learning, and the Internet of Things (IoT) aid in COVID-19 data analysis for disease control and understanding its societal impact. It also examines AI
Area of Science:
- * Epidemiology and Public Health
- * Data Science and Artificial Intelligence
- * Social Sciences
Background:
- * Coronaviruses, including the novel COVID-19, represent a significant global health threat, causing millions of deaths worldwide.
- * The rapid spread of COVID-19 necessitated rapid data analysis and technological interventions to control its impact.
- * Understanding the societal impact of the pandemic is crucial for developing effective public health strategies.
Purpose of the Study:
- * To survey the application of data analysis techniques, particularly AI, machine learning, deep learning, and IoT, in combating COVID-19.
- * To analyze the role of these technologies in forecasting, detecting, and diagnosing COVID-19.
- * To investigate the spread of misinformation related to COVID-19 on social media and analyze sentiment.
Main Methods:
- * Review and analysis of existing literature on AI, machine learning, deep learning, and IoT applications in COVID-19 data analysis.
- * Application of social network analysis and sentiment analysis techniques to study misinformation on social media platforms.
- * Comparative analysis of various data analysis techniques used in the context of COVID-19.
Main Results:
- * AI, machine learning, deep learning, and IoT have demonstrated significant utility in analyzing COVID-19 data for disease control and management.
- * These technologies are effective in forecasting outbreaks, detecting infections, and aiding in patient diagnosis.
- * Social network and sentiment analysis effectively identified and analyzed the spread of fake news and conspiracy theories on social media.
Conclusions:
- * Data analysis, powered by AI and related technologies, is vital for managing pandemics like COVID-19.
- * Continued research into advanced data analysis techniques is recommended for improved disease surveillance and response.
- * Guidelines for handling the virus and adapting to changing life conditions are informed by data analysis insights.
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