The reproduction number of COVID-19 and its correlation with public health interventions
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
Article activity feed
-
-
-
SciScore for 10.1101/2020.05.01.20088047: (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
Software and Algorithms Sentences Resources We adopt a Student’s t-distribution for the likelihood between the data and the model predictions [11, 30] with a confirmed case number-dependent width, We apply Bayes’ rule to obtain the posterior distribution of the parameters [41, 45] using the prior distributions in Table 1 and the reported case numbers [15],
We solve this distribution numerically using the NO-U-Turn sampler [26] implementation of the python package PyMC3 [46].
pythonsuggested: (IPython, RRID:SCR_001658)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to …
SciScore for 10.1101/2020.05.01.20088047: (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
Software and Algorithms Sentences Resources We adopt a Student’s t-distribution for the likelihood between the data and the model predictions [11, 30] with a confirmed case number-dependent width, We apply Bayes’ rule to obtain the posterior distribution of the parameters [41, 45] using the prior distributions in Table 1 and the reported case numbers [15],
We solve this distribution numerically using the NO-U-Turn sampler [26] implementation of the python package PyMC3 [46].
pythonsuggested: (IPython, RRID:SCR_001658)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:Limitations: Just like any infectious disease model, our model inherently faces limitations associated with data uncertainties from differences in testing, inconsistent diagnostics, incomplete counting, and delayed reporting. For our specific study of COVID-19, we encounter a few additional limitations: First, although a massive amount of data are freely available through numerous well-documented public databases, the selection of the model naturally limits what we can predict and it remains challenging to map the available information into the format of the SEIR model. Second, the initial conditions for our exposed and infectious populations will always remain unknown and many new first cases have been reported throughout the past couple of weeks. To reduce the influence of unknown initial conditions, our parametric Bayesian inference algorithm learns these populations alongside the effective reproduction number. Third, in its current state, our model does not distinguish between community mitigation strategies, local public health recommendations, and global political actions [9]. We are currently integrating the current approach into a global network model that will provide more granularity to include other community mitigation strategies in addition to mobility. Fourth, our current model is not directly informed by mobility data. We have recently proposed a new method that uses a stochastic process to directly incorporate mobility as a latent variable into the present SEI...
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.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
-
-