Factors associated with transmission of COVID-19 in long-term care facility outbreaks
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
Article activity feed
-
-
SciScore for 10.1101/2021.07.12.21260345: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis 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:Strength/Limitations: Our analysis has a number of strengths. First, we used a standardized assessment tool implemented and applied in a uniform fashion across many LTCFs in the region. Second, we were able to include a significant number of LTCF as the …
SciScore for 10.1101/2021.07.12.21260345: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis 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:Strength/Limitations: Our analysis has a number of strengths. First, we used a standardized assessment tool implemented and applied in a uniform fashion across many LTCFs in the region. Second, we were able to include a significant number of LTCF as the Fraser Health region accounted for the majority of the LTCF outbreaks and COVID-19 burden in British Columbia. Third, our final model was able estimate the impact of each risk factor on outbreak severity while controlling for other risk factors. Lastly, we were able to investigate a significant number of building, organization level and resident population characteristics due to a publicly available dataset.24 There are, however, limitations to our data and analysis. First, the sample size for our modelling analysis was small, which may have underpowered the analysis and failed to detect significant characteristics. For example, community incidence was found to be a strong determinant for COVID-19 outbreaks in other studies3,18 but this was not identified as a major contributor in our model. Second, resident population characteristics were taken from the 2019-2020 cycle and may not accurately reflect characteristics of the population at the time of the outbreak. Third, certain variables that may have contributed to outbreak severity may not have been identified in our analysis as they were not measured in the publicly available data. Fourth, our results may not be generalizable to other jurisdictions where private pay LTCF are...
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.
Results from scite Reference Check: We found no unreliable references.
-
