Continuous learning and inference of individual probability of SARS-CoV-2 infection based on interaction data
Abstract This study presents a new approach to determine the likelihood of asymptomatic carriers of the SARS-CoV-2 virus by using interaction-based continuous learning and inference of individual probability (CLIIP) for contagious ranking. This approach is developed based on an individual directed g...
Enregistré dans:
Auteurs principaux: | Shangching Liu, Koyun Liu, Hwaihai Chiang, Jianwei Zhang, Tsungyao Chang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/a917d58029a44f128e3e181c6d1f4bdf |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
par: Philippe Lemey, et autres
Publié: (2020) -
Comparison of the Characteristics of Cytokine Storm and Immune Response Induced by SARS-CoV, MERS-CoV, and SARS-CoV-2 Infections
par: Liu T, et autres
Publié: (2021) -
Characterization of spike glycoprotein of SARS-CoV-2 on virus entry and its immune cross-reactivity with SARS-CoV
par: Xiuyuan Ou, et autres
Publié: (2020) -
Immunological Characterization of HIV and SARS-CoV-2 Coinfected Young Individuals
par: Claudia Vanetti, et autres
Publié: (2021) -
Immune response to SARS-CoV-2 variants of concern in vaccinated individuals
par: Matthias Becker, et autres
Publié: (2021)