Global and local mobility as a barometer for COVID-19 dynamics
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SciScore for 10.1101/2020.06.13.20130658: (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
Software and Algorithms Sentences Resources We apply Bayes’ rule to obtain the posterior distribution of the parameters on the basis of the prior distributions specified in Table S2, and the reported cases themselves, which we infer approximately by employing the NO-U-Turn sampler (NUTS) (38) implementation of the Python package PyMC3 (39).
Pythonsuggested: (IPython, RRID:SCR_001658)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 …SciScore for 10.1101/2020.06.13.20130658: (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
Software and Algorithms Sentences Resources We apply Bayes’ rule to obtain the posterior distribution of the parameters on the basis of the prior distributions specified in Table S2, and the reported cases themselves, which we infer approximately by employing the NO-U-Turn sampler (NUTS) (38) implementation of the Python package PyMC3 (39).
Pythonsuggested: (IPython, RRID:SCR_001658)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:A clear limitation of our study is the use of Apple mobility data (23) as a proxy for the local mobility of individuals within a country. A comparison with alternative provider-based mobility data (25) shows that, at least for the example of Germany, the Apple data overestimate the true reduction in mobility by up to 25%. This suggests that the Apple data are biased towards a subset of the population that can potentially respond more rapidly and more flexibly to the new stay-at-home conditions. While we clearly have to be careful to draw conclusions from mobility in absolute numbers, we believe that the general trends are indicative of a universal reduction in mobility within the general population. Strikingly, in most countries, this reduction emerged naturally, well ahead of political intervention, as a result of voluntary behavioral changes in the population, see Fig. 2. Phase III: Reduced mobility reduces the number of new cases and initiates a flattening of the curve: In the outbreak dynamics, reduced local mobility induces a reduction of the effective reproduction number Rt and with it convergence to an enforced equilibrium state, a converged state under given constraints, long before herd immunity is achieved in the entire population. The speed and magnitude by which the reproduction number drops are a measure of the effectiveness of public health interventions. For example, in Austria, a country that is known for its strict response to the pandemic Rt dropped from 4.0...
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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