AI-Based Risk Monitoring in COVID Cases After Lockdown

The methods of machine learning give opportunities to enhance pandemic reaction and risk mitigation by adding mechanistic predictive model to pandemic preparation and reaction based on several sources of data at each and every stage, from the micro to the global level. Nevertheless, these approaches depend on the accessibility of relevant data and the transmission and presentation of that information in order to provide tools and recommendations for judgement. Because of the absence of uniformity in the recording and availability of differentiated, extensive statistics on COVID-19 in India, the use of algorithms powered by AI and their efficacy for forecasting the development and consequent impact of this condition in populations have indeed been limited. If these limitations are disregarded, they increase the risk of utilising AI technologies poorly and represent lost opportunities for Methodologies to make a good contribution. Governmental agencies should work with AI researchers and industry experts to develop data collection and sharing standards in order to streamline future readiness for outbreaks and other calamities.