Software Identifies COVID-19 Super Carriers

COVID-19
share Share

A Polish company has developed software that deploys data to identify people at risk of carrying COVID-19.

 

The firm, DataWalk, taps into data like immigration records, mobile phone data and data about affected individuals to identify potential ‘super carriers’ who resist the disease and are unaware how widely they can infect others.

 

Super spreaders are those who infect greater numbers than the standard two or three.


You might also like: COVID-19: How Can Hospitals Protect Workers and Patients?

 

This allows the software to identify potential super carriers who are often resistant to the disease themselves and do not know that they can infect others. This would enable appropriate medical intervention to help minimise spread of the virus.

 

One example is a British man who returned from a trip to Singapore and infected more than ten people. Another is a woman in South Korea who has infected dozens of people.

 

However, healthcare experts and statisticians have questioned the concept of Super Spreader, saying it isn’t scientific.

 

France’s health minister Olivier Véran has said the label could stigmatise individuals.

 

 

Source: Pharmaphirum

Image credit: Pixabay




«« HIMSS Plans Digital Congress


COVID-19: Medical Informatics Europe Cancelled »»

Published on : Mon, 16 Mar 2020



Related Articles
COVID-19 Security

Tech powers normally deployed for counter-terrorism are being used to fight COVID-19 in Israel triggering an outcry from civil... Read more

Telehealth

The Office for Civil Rights (OCR) at the U.S Department of Health and Human Services (HHS) announced it is lifting penalties... Read more

Remote working

The advent of cloud computing, combined with the availability of digital and communications tools, has allowed more healthcare-related... Read more

COVID-19 coronavirus super-carriers infection control software data A Polish company claims new software can identify COVID-19 supercarriers and stem the spread of the virus.

No comment


Please login to leave a comment...