Association of State Stay-at-Home Orders and State-Level African American Population With COVID-19 Case Rates
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SciScore for 10.1101/2020.06.17.20133355: (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 We used STATA version 16 (College Station, Texas, USA) for all empirical analyses, and ‘xtreg, re’ command to estimate our model. STATAsuggested: (Stata, RRID:SCR_012763)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:Limitations: Our study has several limitations. Its observational nature prevents making causal inferences. Additional limitations are as follows: First, …
SciScore for 10.1101/2020.06.17.20133355: (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 We used STATA version 16 (College Station, Texas, USA) for all empirical analyses, and ‘xtreg, re’ command to estimate our model. STATAsuggested: (Stata, RRID:SCR_012763)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:Limitations: Our study has several limitations. Its observational nature prevents making causal inferences. Additional limitations are as follows: First, testing protocols and testing availability is not uniform across states, and some tests may be unreported; further, there may be delays in reporting tests and positive cases, leading to inaccuracies in the daily data. Second, identified positive cases may substantially underestimate the actual number of positive cases. Third, the rigor with which ‘stay-at-home’ was enforced and adhered to may have varied from state to state, and also varied across areas within states, which is not captured in our data. Fourth, we could not account for local stay-at-home ordinances at the city or county level, since we lacked exhaustive information on such ordinances or what fraction of the state’s population was impacted by them. Fifth, our study used state-level socio-demographic characteristics, which may differ from the impact of those socio-demographic characteristics at a more granular level -– for example, the insignificant or negative relationship between poverty and COVID-19 that we see may not hold for zip-code or neighborhood-level analyses. Finally, we did not explore how trends may have changed following the state re-openings, though we intend to do this in forthcoming analyses. In conclusion, we are rapidly moving into a phase where other more moderate measures will be replacing stay-at-home – which has been compared to shifting...
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).
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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