A Data-Driven Simulation of the Exposure Notification Cascade for Digital Contact Tracing of SARS-CoV-2 in Zurich, Switzerland
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SciScore for 10.1101/2021.02.01.21250972: (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: 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:However, this is also a limitation. For example, the large increase in SARS-CoV-2 incidence in the second half of October also affected the data collection procedures for monitoring statistics. For example, the reporting of the reasons for testing (such as a SwissCovid app notification), which primarily relies on physicians diagnosing …
SciScore for 10.1101/2021.02.01.21250972: (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: 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:However, this is also a limitation. For example, the large increase in SARS-CoV-2 incidence in the second half of October also affected the data collection procedures for monitoring statistics. For example, the reporting of the reasons for testing (such as a SwissCovid app notification), which primarily relies on physicians diagnosing the infection, was already incomplete in September but nearly stopped towards the end of October 2020. This underreporting also may have led to the underestimation of some indicators in our analysis (e.g. the number of persons testing positive after app notification). However, we partly accounted for this issue through the performance of stochastic analysis and the presentation of uncertainty ranges. Furthermore, some of the parameter estimates utilized in our calculations were derived from studies with still limited sample sizes and follow-up (e.g. from the Zurich SARS-CoV-2 Cohort study). Other parameters were only available on a national level, which may not reflect canton-specific differences adequately (e.g. process efficiency of CovidCode provision or MCT). In order to obtain more precise results (involving fewer assumptions), more granular and more regionally differentiated data from ongoing research studies are essential. By evaluating the population at each step of the DPT notification cascade for the Canton of Zurich and in Switzerland, our analysis provides a first estimation of the contribution of SwissCovid to mitigating the pandemi...
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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