The machine learning model based on trajectory analysis of ribonucleic acid test results predicts the necessity of quarantine in recurrently positive patients with SARS-CoV-2 infection

• Main Authors: Qi-Xiang Song (Author), Zhichao Jin (Author), Weilin Fang (Author), Chenxu Zhang (Author), Chi Peng (Author), Min Chen (Author), Xu Zhuang (Author), Wei Zhai (Author), Jun Wang (Author), Min Cao (Author), Shun Wei (Author), Xia Cai (Author), Lei Pan (Author), Qingrong Xu (Author), Junhua Zheng (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundSARS-CoV-2 patients re-experiencing positive nucleic acid test results after recovery is a concerning phenomenon. Current pandemic prevention strategy demands the quarantine of all recurrently positive patients. This study provided evidence on whether quarantine is required in those patien...