Decrease in Hospitalizations for COVID-19 after Mask Mandates in 1083 U.S. Counties
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Abstract
The authors have withdrawn this manuscript because there are increased rates of SARS- CoV-2 cases in the areas that we originally analyzed in this study. New analyses in the context of the third surge in the United States are therefore needed and will be undertaken directly in conjunction with the creators of the publicly-available databases on cases, hospitalizations, testing rates. Etc. We will be performing this in conjunction with machine learning experts at UCSF. Therefore, the authors do not wish this work to be cited as reference for the project. We hope to have an updated analysis using data from the 2 nd and now 3 rd wave of SARS-CoV-2 in this country soon. If you have any questions, please contact the corresponding author.
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SciScore for 10.1101/2020.10.21.20208728: (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: Thank you for sharing your code and data.
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.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 rtransp…SciScore for 10.1101/2020.10.21.20208728: (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: Thank you for sharing your code and data.
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.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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SciScore for 10.1101/2020.10.21.20208728: (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: Thank you for sharing your code and data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
The limitations of our analysis include not having data on compliance to facial masking by the populace in each county and not having access to the specific ages of hospitalized patients with COVID19. Moreover, we could not grade the severity of infection beyond knowing whether a patient was ill enough to merit inpatient …
SciScore for 10.1101/2020.10.21.20208728: (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: Thank you for sharing your code and data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
The limitations of our analysis include not having data on compliance to facial masking by the populace in each county and not having access to the specific ages of hospitalized patients with COVID19. Moreover, we could not grade the severity of infection beyond knowing whether a patient was ill enough to merit inpatient admission. Further statistical analysis such as a Bacon-Goodman Decomposition16 of the time-factored treatment effect could help further understand treatment effect heterogeneity. In conclusion, these data provide additional observational evidence for the hypothesis that facial masking may be associated with reduced severity of COVID-19 disease. The imputed mechanism is that masks reduce the viral inoculum to which the wearer is exposed. Combined with social distancing, hand hygiene, and appropriate testing, this analysis adds to the evidence that population-wide facial masking is one of the pillars of the COVID-19 mitigation as we await a safe and effective vaccine.
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.
About SciScore
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