The Chicago Department of Public Health (CDPH) and Rush University Medical Center (RMUC) recently launched a big data analytics tool that offers information about COVID-19 testing, cases, and...
Racial disparities in cancer and COVID-19 outcomes stem from very similar factors, a finding that has significant implications for the public health sector, according to a study published in Clinical...
NIH has issued a grant of over $107 million to fund innovative COVID-19 testing and surveillance methods nationwide, ranging from artificial intelligence solutions to home-based testing...
As colleges begin to develop strategies to control COVID-19 cases during the spring semester, researchers are leveraging data analytics models to determine which methods will be most...
Machine learning can help inform public policies around quarantine measures to reduce the spread of COVID-19, according to a study conducted by MIT researchers.
As COVID-19 cases continue to increase...
Researchers from Johns Hopkins Bloomberg School of Public Health used big data analytics to develop a COVID-19 mortality risk calculator, a tool that could inform public health policies around...
Researchers at Johns Hopkins Bloomberg School of Public Health have developed a series of case studies for public health issues that will enable healthcare leaders to use big data analytics tools in...
A data analytics tool shows organizations how different COVID-19 testing strategies and other mitigation methods can help reduce the spread of the virus.
Funded by the National Institute of Biomedical...
As the opioid epidemic rages on in communities across the US, the healthcare industry has sought the help of big data to inform public policy and population health initiatives.
While large volumes of...
Researchers from UCLA Fielding School of Public Health have identified high-risk population groups in California during the COVID-19 pandemic using demographic data analytics.
For more coronavirus...
A predictive analytics model examined human mobility patterns in major cities across the US and revealed that non-residential locations – such as restaurants, gyms, and cafes – account for...
The majority of COVID-19 data visualizations shared by average Twitter users contained one of five errors that reduced their accuracy or reliability, according to a study published in Informatics.
For...
Researchers in Carnegie Mellon University’s Robotics Institute were able to use machine learning technology to reduce food insecurity in Pennsylvania communities during the pandemic.
The team...
A predictive analytics system was able to use location data to foresee flu outbreaks, outperforming other state-of-the-art forecasting tools with an eleven percent increase in accuracy.
The tool,...
Natural language processing tools can analyze pathology reports and identify individuals with HPV-related cancers, improving disease surveillance and treatment, according to a study published in JMIR...
A predictive analytics tool has helped public health leaders in Chicago improve the quality of COVID-19 data, reducing the category of “unknown” race in tests from 47 percent to 11...
Using a real-time data monitoring tool, researchers from Michigan Medicine discovered a 15 percent rise in suspected opioid overdose deaths since the early weeks of the COVID-19 pandemic.
The tool...
Web-based predictive analytics methods identified strong correlations between Google search trends and COVID-19 hot spots in parts of the country – as early as 16 days prior to the first reported...
Predictive analytics models that evaluate genetic and experimental data could more accurately forecast which flu strains will be most prevalent during the next winter, according to a study published in...
As organizations across the healthcare landscape seek to maintain or improve population health during the COVID-19 pandemic, researchers are turning to genetics to better understand patient outcomes...
