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AI-Powered Tracking Site Offers Predictions of Near-Term COVID-19 Pandemic Trends

Analysis  |  By Scott Mace  
   March 11, 2021

Real-time data feed helps local hospitals and others prepare for pandemic surges.

A free Web site that tracks flu and COVID-19, and predicts where it will surge next, is now online.

The FluDemic AI Prediction Center pulls in a wide range of data feeds into proprietary machine learning algorithms to help the public better understand what is going in their communities, and detect hot spots as they emerge.

The free site offers current nationwide conditions by county, with various layers of criteria to browse, including average seven-day cases or deaths, the same results per 100K of population, average 14-day hospitalizations, and socioeconomic risk by mortality or morbidity. Animations for each of these trends over time are also provided in the free site, as is a prediction of each of these values in the next  seven days.

A premium version of the site ingests real-time proprietary datasets from health systems and health information exchanges, and allows users to drill down to the neighborhood level. The premium version requires a monthly subscription based on data requests from the stakeholders, such as health systems, government, life sciences, and payers.

Data Driven Health, a founding member of the Coalition to Stop Flu, partnered with the UC Berkeley Smart Pandemic Management Team to build the new service. Data Driven Health was founded in 2020 to empower data-driven healthcare through artificial intelligence and machine learning.

The platform lets users analyze trends of positive cases, fatalities, hospitalizations, and vaccination rates. A section on community impact measures unemployment, community mobility, and assorted indexes affected by the COVID-19 pandemic. As it ingests more data, FluDemic continues to learn and make stronger predictions.

In the future, this platform will expand into other areas, such as diabetes, opioid abuse, COPD, and cancer.

Scott Mace is a contributing writer for HealthLeaders.


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