Ideas2IT wins Roche’s ‘UNCOVER COVID-19 Challenge’ on Kaggle.com

On April 09, 2020, the Roche Data Science Coalition (RDSC) requested the collaborative effort of the AI community to fight COVID-19. The challenge, posted on Kaggle, consisted of a curated collection of datasets from 20 global sources and asked participants to model solutions to key questions developed by global frontline healthcare providers, hospitals, suppliers, and policymakers.

This dataset composed of a curated collection of over 200 publicly available COVID-19 related datasets from sources like Johns Hopkins, the WHO, the World Bank, the New York Times and many others. It also included data on a wide variety of potentially powerful statistics and indicators, like local and national infection rates, global social distancing policies, geospatial data on the movement of people and more.

As a response to this challenge, our Data Science team led by Ankan Ghosh posted a submission on how COVID-19 Mortality could be analyzed. The approach took into consideration that the date of Corononavirus’s spread is different for each country and data was available only till the end of March 2020. The main objective was to identify the countries in a pandemic state and determine the factors that contributed to mortality. These factors were then used to identify the countries/groups more vulnerable to mortality or were in a high-risk state.

The Insights

The submission made our team was selected by the Roche Data Science Coalition. The challenge itself featured 12 tasks and hundreds of entries from across the globe. “This challenge gave our Data Science team an opportunity to demonstrate their mettle,” said Arun G, Director — Technology & People Practice, Ideas2IT Technologies.

“On a larger note, this initiative clearly highlights how central Data is for organizations, governments and healthcare bodies for their resource planning and distribution initiatives.” quipped Murali Vivekanandan, Founder & CEO, Ideas2IT Technologies.

To see this submission on Kaggle, please click here.

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Originally published at https://www.ideas2it.com.