Early identification of COVID-19 can help people isolate, predict clusters, and slow the spread of a virus. Peer-reviewed research says a smartphone app may be able to help.
Highly respected science journal, Nature Medicine, published research that shows a smartphone app is able to help predict incidence of COVID-19 by analyzing self-reported data and combinations of symptoms. The self-reported data does not replace the importance an in-person diagnosis, but it offers clues as to who most likely has the virus, and can provide early guidance on emerging virus clusters. Read more about the research below.
Nature Medicine: Real-time tracking of self-reported symptoms to predict potential COVID-19
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