Project investigating fever-related data as early indicator of COVID-19 outbreaks

June 8, 2020

 Nebraska engineer Fadi Alsaleem and colleagues believe that fever-related data from Kinsa thermometers is offering a much-needed empirical perspective on the effectiveness of social distancing — and could help preview the outcomes of relaxing such guidelines.
Nebraska engineer Fadi Alsaleem and colleagues believe that fever-related data from Kinsa thermometers is offering a much-needed empirical perspective on the effectiveness of social distancing — and could help preview the outcomes of relaxing such guidelines.
Scott Schrage / University Communication

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, says a University of Nebraska–Lincoln engineer.

Alongside colleagues from the University of Nebraska Medical Center and University of Nebraska at Kearney, 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. With a boost from that data and machine learning, the researchers are also busy constructing a model that might better predict how the spread of the novel coronavirus will respond to the relaxation of social distancing guidelines.

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