AtScale, the leading provider of intelligent data virtualization solutions, announced that the company is offering free access to AtScale’s COVID-19 Cloud OLAP Model. The model was built to analyze COVID-19 data sets including Starschema: COVID-19 Epidemiological Data, which is available through Snowflake’s Data Exchange and Boston Children’s Hospital’s COVIDNearYou.org. AtScale’s model is provided in an effort to help organizations and individuals make better decisions based on COVID-19 data. Additional datasets that can be queried against include models from The New York Times and World Health Organization.
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AtScale announces free access to its COVID-19 Cloud Olap Model – built to enable the global community to make better, faster decisions with data.
“In recent weeks, I’ve had many conversations on the multitude of new challenges confronting our society today. One recurring theme I heard was the lack of access and want for trusted, up-to-date COVID-19 data,” said Christopher Lynch, Executive Chairman and Chief Executive Officer, AtScale. “Given AtScale’s unique position to help make sense of information in real-time, our team jumped into action to provide users with the tools needed to drill into data and better understand the impact of the COVID-19 virus.”
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To fill a fundamental gap in access to trusted data, the nation’s leader in children’s general medical and surgical facility, Boston Children’s Hospital, is working with AtScale to support its COVID Near You platform in providing data access for public health officials to make informed decisions.
“A majority of public health data is generated from interactions between health providers and patients,” said John Brownstein, Chief Innovation Officer at Boston Children’s Hospital and professor at Harvard Medical School. “COVID Near You fills in the reporting gaps left by a majority of those infected by COVID-19 who experience mild illness. Working with AtScale, we are now getting this data into the hands of public health officials to use in their analysis for pandemic response measures.”
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