Predictors of Test Positivity, Mortality, and Seropositivity during the Early Coronavirus Disease Epidemic, Orange County, California, USA
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SciScore for 10.1101/2021.01.13.21249507: (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
Software and Algorithms Sentences Resources Tests for spatial autocorrelation were done using GeoDa version 1.14.0. GeoDasuggested: (GeoDa, RRID:SCR_018559)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:Study limitations include that County-reported testing and mortality data did not include …
SciScore for 10.1101/2021.01.13.21249507: (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
Software and Algorithms Sentences Resources Tests for spatial autocorrelation were done using GeoDa version 1.14.0. GeoDasuggested: (GeoDa, RRID:SCR_018559)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:Study limitations include that County-reported testing and mortality data did not include individual-level information on income, education, and insurance. These variables were only available at the zip code level. Zip codes are unlikely to adequately represent important spatial units (e.g., neighborhoods, communities). Our measure of population density may also not accurately capture the importance of housing or household density. Missing data on race/ethnicity (63% of all official test records) and small counts of some race/ethnicity groups may have impacted our findings for groups with low counts in this analysis. Even when race/ethnicity data were available, they were broad categories (i.e. Asian rather than specific Asian ethnicities). We also note, however, that the population-based seroprevalence data on SARS-CoV-2 included detailed individual-level information on socio-demographic covariates, which we exploited for our detailed analyses. Study strengths include the diversity of OC in terms of socioeconomic and demographic predictors, which provide sufficient power to investigate these factors in our analyses. California was also one of the first states to issue an executive order for residents to stay home, providing data for several months when only essential workers were permitted to work outside the home. Our analyses were able to identify temporal shifts in the demographics of COVID-19 test positivity that likely reflect disparities related to occupation type that...
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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