Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study
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Abstract
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SciScore for 10.1101/2020.12.15.20248096: (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:Limitations: These findings must be interpreted with the caveat that, by its nature, real-time participatory syndromic surveillance inherently has potential biases related to (a) generalizability (whether participants representative of the source population, or have covariates for critical effect modifiers), and (b) …
SciScore for 10.1101/2020.12.15.20248096: (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:Limitations: These findings must be interpreted with the caveat that, by its nature, real-time participatory syndromic surveillance inherently has potential biases related to (a) generalizability (whether participants representative of the source population, or have covariates for critical effect modifiers), and (b) measurement bias (survey question misunderstanding, differential missingness or error in self-reporting due to incentive to log healthy when being monitored or misuse one-time surveys), as examples. We compared each platform to national demographics and outcomes, as well as survey-weighted outcomes in the US. For both the UK and US platforms, respondents were younger and more often female, similar to published online survey participation demographics and echoes research showing possible biases related to use of mobile health devices solutions in the context of symptom reporting in the COVID19 era 22–24. To address measurement bias, we compared symptom patterns and symptom windows across platforms; while these affected the magnitude of effect estimates, the overall trends and the strength of anosmia/ageusia and core CLI symptom in the prediction of COVID-19 held. Strengths: Despite these limitations, the strength of this study lies in the combination of data from very different digital platforms varied in terms of their participants’ location (Israel, UK, USA) and their observation over time (April to July 2020). All three datasets combined are very large in size (...
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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