Assessment of Simulated Surveillance Testing and Quarantine in a SARS-CoV-2–Vaccinated Population of Students on a University Campus
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SciScore for 10.1101/2021.06.15.21258928: (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: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Modeling approaches such as the one used here are subject to a variety of limitations, many related to parameter estimation and assumptions about model structure. Although we expect that the findings will be generally applicable to universities, important parameters in the model were fit to infection dynamics data collected by the …
SciScore for 10.1101/2021.06.15.21258928: (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: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Modeling approaches such as the one used here are subject to a variety of limitations, many related to parameter estimation and assumptions about model structure. Although we expect that the findings will be generally applicable to universities, important parameters in the model were fit to infection dynamics data collected by the surveillance program at Duke University during the 2020-2021 academic year, and therefore outcomes may be context specific. In particular, we used a parameter fitting procedure to estimate the number of daily interactions for our model. We also used the empirical contact tracing distribution and contact tracing efficiency observed by Duke University during the 2020-2021 academic year. We note that the accuracy of self-reporting is unknown. Moreover, in the absence of information on interaction networks, the model assumes homogeneous mixing. Finally, the model only tracks infection dynamics and does not account for vaccine effects on the course of the disease. If disease severity is diminished to acceptable levels in vaccinated individuals [4, 5], the tolerance for infections on campus may be increased, as the outcome of these infections will be less impactful. A further limitation of our study stems from uncertainty about the impact vaccines will have on the course of infection in the modelled population. Rather than modify disease progression parameters (which specify the distributions for the time from exposure to infection and from infection to r...
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:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- No funding statement was detected.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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