Author: shaoqing wen; Yi Wang
Title: Monitoring and predicting viral dynamics in SARS-CoV-2-infected Patients Document date: 2020_4_17
ID: e4aha2i8_2
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.14.20060491 doi: medRxiv preprint results again 1 or 2 weeks after discharge from hospital [6] . Importantly, it is impossible to continuously collect samples from each SARS-CoV-2-infected patient over the course of the treatment and rehabilitation. In this context, a simple but robust model is expected to accurately monitor and predict v.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.14.20060491 doi: medRxiv preprint results again 1 or 2 weeks after discharge from hospital [6] . Importantly, it is impossible to continuously collect samples from each SARS-CoV-2-infected patient over the course of the treatment and rehabilitation. In this context, a simple but robust model is expected to accurately monitor and predict viral dynamics for each SARS-CoV-2-infected patient, given the limited number of RT-PCR tests and the complexity of each individual's physical health situation.
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