The within-host viral kinetics of SARS-CoV-2
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Abstract
In this work, we use a within-host viral dynamic model to describe the SARS-CoV-2 kinetics in host. Chest radiograph score data are used to estimate the parameters of that model. Our result shows that the basic reproductive number of SARS-CoV-2 in host growth is around 3.79. Using the same method we also estimate the basic reproductive number of MERS virus is 8.16 which is higher than SARS-CoV-2. The PRCC method is used to analyze the sensitivities of model parameters and the drug effects on virus growth are also implemented to analyze the model.
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SciScore for 10.1101/2020.02.29.965418: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: Thank you for sharing your code.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:The major limitation of this study is that the chest radiograph score is not the real data of the infected pulmonary epithelial cells but just an approximation. Moreover, we assume that the immunne effect on viruses and infected epithelial cells are constant values. This is because the data of antibody and effective CD8 cells of that virus are rarely known. If we could get more accurate data, the results will be much better. We believe this study …
SciScore for 10.1101/2020.02.29.965418: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: Thank you for sharing your code.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:The major limitation of this study is that the chest radiograph score is not the real data of the infected pulmonary epithelial cells but just an approximation. Moreover, we assume that the immunne effect on viruses and infected epithelial cells are constant values. This is because the data of antibody and effective CD8 cells of that virus are rarely known. If we could get more accurate data, the results will be much better. We believe this study could give some help to the diagnosis and treatment of the COVID-19. For other disease that infect the lung, this method we believe also could be used to do analysis.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
- No funding statement was detected.
- No protocol registration statement was detected.
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SciScore for 10.1101/2020.02.29.965418: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
Results from OddPub: Thank you for sharing your code.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
The major limitation of this study is that the chest radiograph score is not the real data of the infected pulmonary epithelial cells but just an approximation. Moreover, we assume that the immunne effect on viruses and infected epithelial cells are constant values. This is because the data of antibody and effective CD8 cells of that …
SciScore for 10.1101/2020.02.29.965418: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
Results from OddPub: Thank you for sharing your code.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
The major limitation of this study is that the chest radiograph score is not the real data of the infected pulmonary epithelial cells but just an approximation. Moreover, we assume that the immunne effect on viruses and infected epithelial cells are constant values. This is because the data of antibody and effective CD8 cells of that virus are rarely known. If we could get more accurate data, the results will be much better. We believe this study could give some help to the diagnosis and treatment of the COVID-19. For other disease that infect the lung, this method we believe also could be used to do analysis.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
About SciScore
SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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