Socioeconomic disparities and COVID-19 vaccination acceptance: a nationwide ecologic study
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SciScore for 10.1101/2021.01.28.21250716: (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:Our findings have limitations. The SES is calculated differently in each country, though the national ICBS classification correlative with metabolic disease13 making our findings generalizable. Also, in this study it is used as …
SciScore for 10.1101/2021.01.28.21250716: (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:Our findings have limitations. The SES is calculated differently in each country, though the national ICBS classification correlative with metabolic disease13 making our findings generalizable. Also, in this study it is used as an ecological variable and is not indicative of individual health, yet this is a more appropriate representation of its implication on municipal vaccination. We did not have available data regarding active disease burden of population over 60, or the disease severity of active cases within municipalities. As data were aggregated we did not have available personal data regarding COVID-19 risk factors, though older age is the most important risk factor for severe COVID-1914. Finally, we were not able to remove the population aged over 60 who recovered or died from COVID-19 from the vaccination potential population in each municipality, though Israel has suffered from approximately 4,000 COVID-19 related deaths only, with approximately 5% of the population recovered from the disease hence this does not affect our findings. These data are an interim analysis based on the rates of the first dose of vaccination, and data of 2nd vaccination shot compliance are not yet available. The analysis time point, conducted 3 weeks following the initiation of vaccinations in Israel, aims at evaluating vaccination rollout and distribution as well as compliance and does not intend to evaluate vaccination efficacy in mitigating the pandemic. Moreover, as the mRNA vaccine l...
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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