The app, which will be free to all users, uses demographic data, a symptom assessment and information about users’ recent travel to heavily affected areas and contact with high-risk individuals to determine their risk of contracting the disease.
The risk assessment is calculated almost immediately by an artificial intelligence algorithm developed by the app’s creators and described in the study, which was published in Infection Control & Hospital Epidemiology.
Those found to be at high risk of contracting the disease will be directed to the nearest facility offering coronavirus testing; if they are unable to travel, local facilities will be notified of the need for a mobile health check.
Additionally, using the results of individuals’ assessments, the app will provide local and national health officials with regularly updated information about the spread of the disease.
The app is expected to be available within a few weeks. It will be accessible via online app stores and the Augusta University website, according to a March 5 news release.
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