Monitoring social distancing and SARS-CoV-2 transmission in Brazil using cell phone mobility data

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1. 

   ScreenIT

   Jun 6, 2020

   SciScore for 10.1101/2020.04.30.20082172: (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
   Although Brazil initially established a reporting system for mild COVID-19 cases based on the REDCap platform, this was shifted on March 25, 2020 to a new reporting system, e-SUS VE.	REDCap suggested: (REDCap, RRID:SCR_003445)

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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:

   Lower values of R(t) resulted in a more effective control during the first wave, but with a caveat that the second epidemic wave was became significantly larger (albeit smaller than the initial peak …

   SciScore for 10.1101/2020.04.30.20082172: (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
   Although Brazil initially established a reporting system for mild COVID-19 cases based on the REDCap platform, this was shifted on March 25, 2020 to a new reporting system, e-SUS VE.	REDCap suggested: (REDCap, RRID:SCR_003445)

   ---

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

   ---

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

   Lower values of R(t) resulted in a more effective control during the first wave, but with a caveat that the second epidemic wave was became significantly larger (albeit smaller than the initial peak that would have been otherwise seen in the absence of interventions). Furthermore, the delay in this peak allows the preparation of healthcare systems to mitigate health impacts by securing equipment and supplies, bolstering ICU capacity, planning for personnel needs and implementing infection control policies. Higher values of R(t) during the intervention led to more evenly distributed epidemic waves, which would make it possible to implement less stringent interventions during following waves. Although it is tempting to propose that social distancing interventions that would lead to an R(t) value of 1.1, such a strategy could have potentially catastrophic consequences. The reason for this is that values of social indexs below 50% are associated with a mean R(t) value of 1.4 (ranging from 0.7 to 2.6), which was not significantly different from no intervention. Aiming at achieving a R(t) value of 1.1 by lowering the social isolation index could therefore lead to a scenario similar to the natural history of COVID-19. It is thus more effective and probably safer to set a goal of R(t) below 1 and implement social distancing interventions that lead to social isolation indexs above 50%. This will require close monitoring after the intervention is relaxed, since it is very likely that a...

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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.
   • No funding statement was detected.
   • No protocol registration statement was detected.

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   Read the original source
2. 

   Version published to 10.1101/2020.04.30.20082172v1 on medRxiv

   May 5, 2020