Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’

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1. 

   ScreenIT

   Mar 1, 2021

   SciScore for 10.1101/2020.04.17.20053157: (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	Association between infection and age, sex and symptoms: We applied logistic regression to test the association between SARS-CoV-2 positivity (overall and at the first and second survey separately) with the age-group (10 years age bands, from 0 to 81+), sex (male, female) and the occurrence of symptoms (defined as the presence of fever and/or cough).

   Table 2: Resources

   Software and Algorithms
   Sentences	Resources
   Linear regression was calculated in Python3.7.3 using modules scipy 1.4.1, numpy 1.18.1, and matplotlib 3.2.121	scipy suggested: (SciPy, RRID:SCR…

   SciScore for 10.1101/2020.04.17.20053157: (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	Association between infection and age, sex and symptoms: We applied logistic regression to test the association between SARS-CoV-2 positivity (overall and at the first and second survey separately) with the age-group (10 years age bands, from 0 to 81+), sex (male, female) and the occurrence of symptoms (defined as the presence of fever and/or cough).

   Table 2: Resources

   Software and Algorithms
   Sentences	Resources
   Linear regression was calculated in Python3.7.3 using modules scipy 1.4.1, numpy 1.18.1, and matplotlib 3.2.121	scipy suggested: (SciPy, RRID:SCR_008058) matplotlib suggested: (MatPlotLib, RRID:SCR_008624)

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   Results from OddPub: Thank you for sharing your code and data.

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   Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

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   Results from TrialIdentifier: No clinical trial numbers were referenced.

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   Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

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   Results from JetFighter: We did not find any issues relating to colormaps.

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   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.
   • Thank you for including a protocol registration statement.

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   Read the original source
2. Version published to 10.1038/s41586-020-2488-1

   Jun 30, 2020
3. 

   ScreenIT

   Jun 6, 2020

   SciScore for 10.1101/2020.04.17.20053157: (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
   Linear regression was calculated in Python3.7.3 using modules scipy 1.4.1 , numpy 1.18.1 , and matplotlib 3.2.121	scipy suggested: (SciPy, SCR_008058) <div style="margin-bottom:8px"> <div><b>matplotlib</b></div> <div>suggested: (MatPlotLib, <a href="https://scicrunch.org/resources/Any/search?q=SCR_008624">SCR_008624</a>)</div> </div> </td></tr></table> Results from OddPub: Thank you for sharing your code. About SciScore SciScore is an automated tool that is designed to assist expert reviewers …

   SciScore for 10.1101/2020.04.17.20053157: (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
   Linear regression was calculated in Python3.7.3 using modules scipy 1.4.1 , numpy 1.18.1 , and matplotlib 3.2.121	scipy suggested: (SciPy, SCR_008058) <div style="margin-bottom:8px"> <div><b>matplotlib</b></div> <div>suggested: (MatPlotLib, <a href="https://scicrunch.org/resources/Any/search?q=SCR_008624">SCR_008624</a>)</div> </div> </td></tr></table> Results from OddPub: Thank you for sharing your code. 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 is not a substitute for expert review. SciScore checks for the presence and correctness of RRIDs (research resource identifiers) in the manuscript, and detects sentences that appear to be missing RRIDs. SciScore also checks to make sure that rigor criteria are addressed by authors. It does this by detecting sentences that discuss criteria such as blinding or power analysis. SciScore does not guarantee that the rigor criteria that it detects are appropriate for the particular study. Instead it assists authors, editors, and reviewers by drawing attention to sections of the manuscript that contain or should contain various rigor criteria and key resources. For details on the results shown here, including references cited, please follow this link.

   Read the original source
4. 

   Version published to 10.1101/2020.04.17.20053157v1 on medRxiv

   Apr 18, 2020