Table 1.

Big data analysis using AI strategies in the public sphere to control the virus spread: a summary of the findings

Public sphere	Domain of interventions	AI and associated strategies
Health infrastructure	Chatbots, Health barcode system Screening methods, Electronic health records, disease spread forecasting	Machine learning, Deep learning Random-forest, linear and auto-regressions
Surveillance	Participatory disease surveillance system, Aarogya Setu application Ariel and mobile robotics Thermal imaging	Sentiment Informed Time Series Analysis National Geographic Information System 5G and block chain technologies
Contact tracing	Baidu big data Aarogya Setu app, Bluetooth-based proximity tracing system	DNN, GPS, real-time big data analysis
Social distancing	Social distancing detector, CCTV cameras, Thermal camera, ultrasound sensors	Machine learning, Computer vision, Wireless technologies,
Social media	Baidu and Google search engines, We-chat	Hybrid AI model
Industrial applications	BlueDot algorithm, vision cameras, Mask reminders, Chat-bot, Humanoid robots	Machine and Deep learning