A deep learning tool can predict surges in COVID-19 cases for each US county with 64 percent accuracy, which is twice the accuracy of an untrained model, according to a study published in IEEE...
Throughout the COVID-19 pandemic, predictive analytics tools have played an integral part in healthcare organizations’ response to and defense against the virus.
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An analysis of US cell phone data showed that social distancing practices increased by over nine times from late January through late March and then decreased by about half through mid-June, according...
In order to understand the reasons behind COVID-19 disparities, healthcare organizations are increasingly conducting county-level data analyses in communities across the US.
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Google.org is donating more than $8.5 million to 31 universities, nonprofits, and other academic institutions that are using artificial intelligence and data analytics to combat COVID-19.
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Sinai Health System and DePaul University are partnering to build a community-driven research institute that will aim to mitigate health disparities in Chicago.
Sinai Health’s research arm,...
County-level cell phone location data could enable public health officials to better monitor adherence to stay-at-home guidelines, as well as estimate the future spread of COVID-19, according to a...
Gaps in early COVID-19 data led to significant underreporting of coronavirus cases, ultimately contributing to a large number of infections in the US by early March, a study published in the...
To further discover trends in COVID-19 mortality and the spread of the virus, researchers are increasingly leveraging geographic and population data for new insights on how the disease operates.
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When describing the state of healthcare in the last few months, people have used certain words over and over again.
Unprecedented, crisis, rapid, and novel have become staple terms in the nation’s vocabulary, highlighting both...
To help track and monitor the spread of COVID-19 on college campuses, leaders across the country are implementing big data dashboards to promote transparency and comfort among students, faculty, and...
Black, Hispanic, American Indian, and Alaskan Native patients are more likely to be hospitalized due to COVID-19 than white individuals, showing that there are significant disparities among racial and...
An analysis of county-level data revealed progress in reducing premature cardiac deaths in began to decline in 2011, with significant disparities among counties, according to research published in the...
Community-based genetic screening could enhance population health by identifying individuals at high risk for three inherited conditions known to cause cancer and increased risk for heart attack and...
A predictive analytics model showed that without masks, six feet of social distance may not be enough to keep one person’s respiratory droplets from reaching someone else, which could contribute...
Quality data on race, ethnicity, and gender is needed to reduce disparities in confirmed COVID-19 cases and deaths, according to a report from researchers at the Medical College of Georgia.
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In the midst of a situation as uncertain as the COVID-19 pandemic, the healthcare industry has sought to use big data and predictive analytics tools to better understand the virus and its spread.
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Crowdsourced data from mobile apps like Yelp could help leaders identify food deserts and guide health policy, according to a study published in Frontiers in Public Health.
The classification of food...
The Food and Drug Administration (FDA) is leveraging real-world data to better understand COVID-19 risk factors, tailor public health interventions to specific communities, and mitigate the spread of...
The interaction of COVID-19 and existing chronic diseases – including diabetes, obesity, and hypertension – are associated with poorer outcomes from the virus, indicating that health...
