 This study found that a combination of five symptoms and two demographics, gender and age, can accurately distinguish COVID-19 from other respiratory illnesses. However, this model is too complex to be used in clinical practice without relying on computer-based decision aid. Therefore, further research should focus on developing a web-based, standalone, artificial intelligence model that can interview patients and help clinicians make quarantine and triage decisions. This article is authored by Farak Alamy, Ji Vang, Yanush Watchtuziak, and others.