Early mandated social distancing is a strong predictor of reduction in peak daily new COVID-19 cases
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SciScore for 10.1101/2020.05.07.20094607: (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 not detected. Table 2: Resources
No key resources detected.
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:One of the limitations of our model is variability in policies pertaining to mandated social distancing and compliance to the policies in various geographic regions. The compliance to mandated social distancing introduced is an …
SciScore for 10.1101/2020.05.07.20094607: (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 not detected. Table 2: Resources
No key resources detected.
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:One of the limitations of our model is variability in policies pertaining to mandated social distancing and compliance to the policies in various geographic regions. The compliance to mandated social distancing introduced is an important factor in determining success of intervention.1 There is also variability in exposure risk reduction among a given population as each individual within the population does not have the same chance of coming in contact with others.26 There appears to be a difference according to age of the individuals37 and population structure such as number of household, workplace, school, and community groups.38 Differences in age and population structure between geographic regions may confound the results. There is also a confounding effect of case identification and isolation and robustness of testing for asymptomatic persons which may vary in various geographic units in our analysis. The Center for Disease Control and Prevention (CDC) concluded that the degree to which COVID-19 cases might go undetected or unreported varies in geographic regions because testing practices differ widely and might contribute significantly to the observed variations.39 ,40. For example, the state of New York (excluding NYC) reported administering 4.9 tests per 1,000 population, which was higher than the national average of 1.6 (CDC, unpublished data, March 25, 2020). The variability in highest number of new cases per day that was not explained by our statistical models is li...
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.
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