KEARNEY - Putting a smart thermometer to the ear could mean putting an ear to the ground for future COVID-19 outbreaks and the consequences of relaxing social distancing, according to a University of Nebraska-Lincoln engineer.
Working with colleagues Basheer Qolomany, who researches machine learning and big data at the University of Nebraska at Kearney, and Alison Freifeld, professor of contagious diseases at the University of Nebraska Medical Center, Fadi Alsaleem is exploring how data from Bluetooth-connected Kinsa thermometers may help forecast COVID-19 hotspots in Nebraska up to weeks before new outbreaks are officially reported.
The three researchers are using Kinsa data and machine learning to construct a model that could better predict how the spread of the novel coronavirus will respond to relaxing social distancing guidelines.
Read the article HERE.