Using big data analytics to explore the relationship between government stringency and preventative social behaviour during the COVID-19 pandemic in the United Kingdom

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1. 

   ScreenIT

   Jul 13, 2021

   SciScore for 10.1101/2021.07.09.21260246: (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
   Data was initially visualized using in Excel (v 16.49), where line and scatter plots were created to explore the data.	Excel suggested: None

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

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   Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

   Limitations: The limitations of this study are those associated with an observational study using publicly available data on which our analysis has been made. As such, our findings do not infer causality, rather highlight the relationship between our examined variables and the …

   SciScore for 10.1101/2021.07.09.21260246: (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
   Data was initially visualized using in Excel (v 16.49), where line and scatter plots were created to explore the data.	Excel suggested: None

   ---

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

   ---

   Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:

   Limitations: The limitations of this study are those associated with an observational study using publicly available data on which our analysis has been made. As such, our findings do not infer causality, rather highlight the relationship between our examined variables and the strengths of such relationships. Furthermore, our analysis is built on several assumptions. Firstly, all behaviours within the preventative social behaviour index are weighted equally and therefore contribute equally to the level of caution we have recorded as the preventative social behaviour index. Secondly, the YouGov global survey responses are weighted by YouGov using sociodemographic data to ensure they are nationally representative. However, an average of only 1006 individuals were questioned in each wave, which may not have been an adequate sample in reliably representing an entire nation. The responses were self-reported and therefore will be allied to its associated bias. 27 Moreover, numerous complex variables in determining preventative social behaviour have been outlined within the literature, we however chose to review four: time, government stringency, confidence in government handling of the pandemic and reported COVID-19 deaths. It may be argued that further evaluation of specific demographics such as age, gender, employment, and mental health status may be necessary in evaluating changes in preventative social behaviour, and these should be further explored in future research. Implicat...

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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.
   • No protocol registration statement was detected.

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   Results from scite Reference Check: We found no unreliable references.

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2. 

   Version published to 10.1101/2021.07.09.21260246v1 on medRxiv

   Jul 10, 2021