Tiger Analytics, AI and analytics consulting company, said on Tuesday it has partnered with IIT-Madras and the Tamil Nadu Covid War Room to launch a COVID-19 response dashboard that can help researchers and policy makers in their study and analysis of Covid-19 trends and patterns. This dashboard takes advantage of publicly available data from various sources.
Until recently, researchers had to resort to the time-consuming task of looking individually at multiple data tables across publicly available data sources. This dashboard consolidates data across different dimensions and can act as a one stop reference point for information related to COVID-19 related data, the company said in a statement.
The tool, according to Tiger Analytics, can help researchers check various aspects of the disease such as the progression of new cases across different countries, daily deaths, and case fatality ratio. Users can also track other key aspects of COVID-19 monitoring such as vaccination status, testing status, impact of mobility on new cases, seroprevalence and info on Covid variants.
Symptoms develop over time, and vaccinations and lockdowns need time to have an impact – the dashboard allows researchers to analyze all this. It also allows comparisons across states and districts in India as well as other countries. The visualizations can help one clearly understand what control measures at what stages of a wave have proven effective. The tool is currently being used in planning interventions and for scaling medical resources.
Pradeep Gulipalli, co-founder of Tiger Analytics, said the dashboard has been made public and " (we) are sharing it with the wider research community and policy makers, so that they can identify and analyze trends and patterns to guide a variety of decisions. At Tiger, we want to work with like-minded partners and NGOs to take the benefit of AI to the broader society”.
B. Ravindran, Head of the Robert Bosch Center for Data Science and AI (RBC-DSAI) at IIT-Madras, said “RBC-DSAI, our pre-eminent interdisciplinary research Centre for Data Science and AI has been at the forefront of leveraging data science and AI, providing insights to make actionable, reliable, and impactful decisions for adoption in engineering, finance and healthcare domains. Most of our projects are chosen such that there is significant societal benefit, and this work was an extension of our continued commitment to using AI for social good." Prof. Ravaindran insists that this collaboration "was a natural partnership for us as we translated data science-based theory to an actionable dashboard".