News: Statistics and Data Sciences

Thousands of patients who thought they had the flu actually had COVID-19 and spread it in the early days of the pandemic.

Epidemiologists develop framework to help policymakers determine which data to track and when to take action to protect their communities.

A new study from researchers at The University of Texas at Austin has found that some antivirals are useful for more than helping sick people...

Massive demand for data scientists in the U.S.

Every day a city delayed social distancing increased an outbreak by 2.4 days.

A University of Texas at Austin model that projects COVID-19 deaths for all 50 U.S. states and dozens of metro areas using geolocation data.

A new pandemic model of COVID-19 shows the positive role social distancing can play in preventing the spread of the illness in areas across Texas.

Since 2012 a pandemic-planning tool developed by researchers at The University of Texas at Austin has helped public health officials plan for the consequences of...

Measures including isolation, quarantine, school closures, travel restrictions and cancellation of mass gatherings may be warranted.

The findings could help public health officials identify pockets of low vaccination rates where communities within the state are at higher risk for an outbreak.