Wearable sensor data and self-reported symptoms for COVID-19 detection
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SciScore for 10.1101/2020.07.06.20141333: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: All individuals participating in the study provided informed consent electronically. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable Among the consented individuals, 62.0% are female and 12.8% are 65 or more years old. 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:Limitations: Our analyses are dependent entirely on participant-reported …
SciScore for 10.1101/2020.07.06.20141333: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: All individuals participating in the study provided informed consent electronically. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable Among the consented individuals, 62.0% are female and 12.8% are 65 or more years old. 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:Limitations: Our analyses are dependent entirely on participant-reported symptoms and testing results, as well as the biometric data from their personal devices. Although this is not consistent with the historically more common direct collection of information in a controlled lab setting or via electronic health records, previous work has confirmed their value and their accuracy beyond data routinely captured during routine care.32-34 Additionally, individuals owning a smartwatch or activity tracker and having access to COVID-19 diagnostic testing may not be fully representative of the general population. Finally, in the early version of the DETECT app we were not able to track the duration or trajectory of individual symptoms, care received and eventual outcomes.
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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