Individual and community-level risk for COVID-19 mortality in the United States
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Abstract
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SciScore for 10.1101/2020.05.27.20115170: (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
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:Our studies have several limitations. First, information on risk for the majority of the risk factors was derived from the UK-based OpenSAFELY study. However, we modified the model to make it more suitable for the US population by incorporating population-based information on age and race associated rate of mortality and by performing external covariate adjustment to account for their correlation with other risk-factors. Further, we …
SciScore for 10.1101/2020.05.27.20115170: (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
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:Our studies have several limitations. First, information on risk for the majority of the risk factors was derived from the UK-based OpenSAFELY study. However, we modified the model to make it more suitable for the US population by incorporating population-based information on age and race associated rate of mortality and by performing external covariate adjustment to account for their correlation with other risk-factors. Further, we have empirically shown through independent validation analyses that the projected risks are well calibrated for the general US population and correlate strongly with recent death rates across counties in the US. There is, however, an urgent need for individual-level data from large population-based studies, akin to the UK OpenSAFELY study, with detailed information on both outcomes and risk factors in the US setting. US-specific data are particularly needed to understand the risk associated with measures of social deprivation which have been shown to be an important risk factor independent of race/ethnicity and pre-existing conditions. Another limitation of our current tools and projections is that they do not incorporate information associated with front line occupations that clearly pose higher risks for infection. The Office of National Statistics (ONS)45 in the UK has released data identifying several frontline occupations that are at increased risk of COVID-19 mortality. We have mapped these occupation categories in the NHIS dataset and have ...
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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