Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland
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SciScore for 10.1101/2021.05.19.21257329: (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 data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Some limitations in the present paper need to be adressed to draw unbiased conclusions from our results. The foundation of the spatial relationship between geographical units in this study is the power law application, upon which all further adjustments rely. It is therefore crucial that it reflects the spatial connectivity correctly. In this context, it would have been important that the corresponding decay parameter d be estimated from the …
SciScore for 10.1101/2021.05.19.21257329: (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 data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Some limitations in the present paper need to be adressed to draw unbiased conclusions from our results. The foundation of the spatial relationship between geographical units in this study is the power law application, upon which all further adjustments rely. It is therefore crucial that it reflects the spatial connectivity correctly. In this context, it would have been important that the corresponding decay parameter d be estimated from the data [13]. However, this parameter estimation is not (yet) compatible with the R-implementation of the higher-order lags ul, which are also crucial in the study of COVID-19. In this study, we chose to use a fixed parameter motivated by existing studies [9, 18], but we recognise that this could have weakened our time-dependent weights. Further work could examine how to facilitate harmonising the two approaches. Similarly, the implementation of the IOM metric in this study might need appropriate modification. As mentioned in the methods, the IOM metric is qualitative, and the way we chose to quantify the indicators could be disputed. Indeed, we have chosen to weigh “total restrictions” as 0.1, meaning that the strength of the spatial relationship between regions separated by a border would be weakened by a factor of 10 upon closure of the latter. Whether this accurately reflects reality remains to be determined. It is also crucial that we address model fit, which naturally influences the subsequent predictions. In initial fittings of the EE...
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.
Results from scite Reference Check: We found no unreliable references.
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