Data-Driven Analysis of COVID-19 Reveals Persistent Immune Abnormalities in Convalescent Severe Individuals

Data-Driven Analysis of COVID-19 Reveals Persistent Immune Abnormalities in Convalescent Severe Individuals

10.3389/fimmu.2021.710217

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Bibliographic Details
Main Authors: Lim, Jackwee, Puan, Kia Joo, Wang, Liang Wei, Teng, Karen Wei Weng, Loh, Chiew Yee, Tan, Kim Peng, Carissimo, Guillaume, Chan, Yi-Hao, Poh, Chek Meng, Lee, Cheryl Yi-Pin, Fong, Siew-Wai, Yeo, Nicholas Kim-Wah, Chee, Rhonda Sin-Ling, Amrun, Siti Naqiah, Chang, Zi Wei, Tay, Matthew Zirui, Torres-Ruesta, Anthony, Leo Fernandez, Norman, How, Wilson, Andiappan, Anand Kumar, Lee, Wendy, Duan, Kaibo, Tan, Seow-Yen, Yan, Gabriel, Kalimuddin, Shirin, Lye, David Chien, Leo, Yee-Sin, Ong, Sean W. X., Young, Barnaby E., Renia, Laurent, Ng, Lisa F. P., Lee, Bernett, Rötzschke, Olaf
Other Authors: BIOLOGICAL SCIENCES
Format: Article
Published: Frontiers Media S.A. 2022
Subjects:
active infection
COVID-19
cytokine profile
immune recovery
immunophenotyping
inflammation
SARS – CoV – 2
severity
Online Access:https://scholarbank.nus.edu.sg/handle/10635/232781
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Institution: National University of Singapore

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https://scholarbank.nus.edu.sg/handle/10635/232781

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