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April 9, 2020

COVID-19 Roundup: Dashboards, Therapeutics, Data Lakes & More

Oliver Peckham

As the COVID-19 pandemic sweeps the globe, big data and AI have emerged as crucial tools for everything from diagnosis and epidemiology to therapeutic and vaccine development. Here, we collect the latest news in how big data is fighting back against COVID-19.


Google Cloud and HCA Healthcare team up on an open COVID-19 data platform

Healthcare provider HCA Healthcare announced a partnership with Google Cloud to create the COVID-19 National Response Portal. The portal, which aims to promote data-sharing about the pandemic, will be operated by SADA Systems. Healthcare providers will be able to share and display anonymous, aggregated metrics from their hospitals to show a real-time view of COVID-19 analytics. To read more about the partnership, click here.

Rice University uses public health data to create an interactive COVID-19 map for Texas

A team of researchers at Rice University’s Spatial Studies Lab used public health data to create an interactive map of COVID-19 metrics in Texas, including number of cases, hospital bed utilization rate, intensive care beds, and more. To create the dashboard, they leveraged code from Esri. The researchers are planning to add further metrics, including the number of available nurses. To visit the dashboard, click here, and to read more, click here.

Oracle deploys COVID-19 Therapeutic Learning System

Oracle announced that over the last few weeks, it built a tool called the COVID-19 Therapeutic Learning System. The system helps physicians and patients record the effectiveness of various drug therapies, including much-discussed therapeutic options like hydroxychloroquine and Remdesivir. The project was a collaboration between Oracle and a number of government agencies, including the National Institute of Health and the Food and Drug Administration. To read more, click here.

AWS launches public COVID-19 data lake

Amazon Web Services has announced that it is making available a data lake for COVID-19 analysis. The data lake includes metrics like case tracking data from Johns Hopkins and the New York Times, hospital bed availability from Definitive Healthcare and over 45,000 COVID-19 research articles. Researchers can also conduct analyses of the data in the cloud, saving the time that would be spent downloading the data. To read more about Amazon’s data lake, click here.

Copley uses Qlik to design a tool tracking COVID-19 and its effects

The Copley Consulting Group used the Qlik platform to aggregate data and design an application that tracks the spread and effects of COVID-19. In particular, the application tracks effects across health sectors, financial markets and the environment. The data in play includes data from the WHO, the EPA, and more, and the application delivers daily, weekly, and monthly insights. To view the interactive application, click here, and to read more, click here.

IQVIA launches crowdsourced COVID-19 registry platform

Analytics provider IQVIA has launched the COVID Active Research Experience (CARE) Project, an opt-in registry available to anyone where individuals can share information about “disease prevalence, symptom progression, and treatment outcomes.” For now, the registry is launching in the U.S. and in English, but IQVIA hopes to expand it to other regions and languages in the coming weeks. To visit the registry, click here, and to read more, click here.

C3.ai publishes COVID-19 data lake

Enterprise AI software provider C3.ai announced that it will create a unified, federated, open data lake of critical COVID-19 data, available free of charge to the global research community starting next week. The data lake will initially include at least ten datasets ranging from WHO situation reports to epidemiology data. Next month, it will expand to include at least a dozen additional datasets, including data on ICU beds and COVID-19-related tweets. To read more, click here.

York University develops analytics dashboard to predict COVID-19 spread

A team of data analysts from York University’s Schulich School of Business developed an analytics dashboard that aims to predict the spread of COVID-19. The dashboard uses public data from Johns Hopkins and GitHub to estimate the number of new COVID-19 cases across five days in any country in the world. To view the dashboard, click here, and to read more, click here.


Do you know about big data applications for COVID-19 that should be featured on this list? If so, send us an email at [email protected]. We look forward to hearing from you.

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