Quantifying the information in noisy epidemic curves
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SciScore for 10.1101/2022.05.16.22275147: (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: Thank you for sharing your code and data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:While our framework can enhance understanding and quantification of surveillance noise, it has several limitations. First, it depends on renewal model descriptions of epidemics [26]. These models assume homogeneous mixing and that the generation time distribution of the disease is known. While the inclusion of more realistic network-based mixing may not improve transmissibility estimates [53] (and this extra complexity may occlude …
SciScore for 10.1101/2022.05.16.22275147: (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: Thank you for sharing your code and data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:While our framework can enhance understanding and quantification of surveillance noise, it has several limitations. First, it depends on renewal model descriptions of epidemics [26]. These models assume homogeneous mixing and that the generation time distribution of the disease is known. While the inclusion of more realistic network-based mixing may not improve transmissibility estimates [53] (and this extra complexity may occlude insights), the generation time assumption is a true constraint that may only be ameliorated through the provision of updated, high quality line-list data [54]. Further, our analysis is contingent on having knowledge of the delays, under-ascertainment rates and other noise sources within data. These may be unavailable or themselves highly unreliable. To include this additional uncertainty is an important next step for this work, which will likely involve recomputing our metrics using posterior Fisher information terms [34, 55] that allow prior distributions on the noise parameters. We also assumed that the time scale chosen ensures that Rt parameters are independent. This may be invalid. In such instances we can append non-diagonal terms to Fisher information matrices or use our metric as an upper bound. Last, we defined the reliability or informativeness of a data stream in terms of minimising the joint uncertainty of the entire sequence of reproduction numbers . This is known as a D-optimal design [38]. However, we may instead want to minimise the ...
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.
Results from scite Reference Check: We found no unreliable references.
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