Tracking Covid19 in an app is possible according to the NY Times

Tracking Covid19 in an app is possible according to the NY Times

Contact tracking Covid19 is considered to be an important step toward finding normal.   It is also an expensive program that NJ is now hiring people to do.   Could it be as easy as using a phone app?

According to the NY Times, The Covid Symptom Study, developed by Zoe Global, a health science company, in collaboration with Massachusetts General Hospital and King’s College in London, had 2.5 million users who reported their symptoms in four weeks. Credit…Zoe Global

According to the journal Nature Medicine, researchers found that an app that allows people to check off symptoms they are experiencing was remarkably effective in predicting coronavirus infections among the 2.5 million people who were using it between March 24 and April 21.  The study participants included the UK, the USA, and Sweeden.

The app showed an 80% accuracy rate using mathematical modeling suggesting it can be usable for Covid19 and possibly future pandemics.  For Covid19, the most reliable indicator was a loss of smell and taste, followed by fever and cough.

The app could be a useful tool for use in cities to detect an outbreak of a virus or another contaminant that may adversely affect our society.

Check out the article here

App Shows Promise in Tracking New Coronavirus Cases, Study Finds

The app, which allows people to record their symptoms, was remarkably effective in predicting infections. The most reliable indicators, researchers found, were loss of smell and taste.

By Andrew Jacobs Published May 11, 2020

In the absence of widespread on-demand testing, public health officials across the world have been struggling to track the spread of the coronavirus pandemic in real time. A team of scientists in the United States and the United Kingdom says a crowdsourcing smartphone app may be the answer to that quandary.

In a study published Monday in the journal Nature Medicine, researchers found that an app that allows people to check off symptoms they are experiencing was remarkably effective in predicting coronavirus infections among the 2.5 million people who were using it between March 24 and April 21.

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