An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
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SciScore for 10.1101/2022.04.18.22273992: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Software and Algorithms Sentences Resources The searches of Scopus and PubMed were carried out on August 20, 2021, and our final selection of papers was roughly evenly distributed from February 2020 to August 2021 (Figure 2). PubMedsuggested: NoneResults 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:This constant changing of dynamics that …
SciScore for 10.1101/2022.04.18.22273992: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Software and Algorithms Sentences Resources The searches of Scopus and PubMed were carried out on August 20, 2021, and our final selection of papers was roughly evenly distributed from February 2020 to August 2021 (Figure 2). PubMedsuggested: NoneResults 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:This constant changing of dynamics that drive COVID-19 transmission coupled with data quality limitations has hindered model accuracy. Translation: Transparency: Although the translational aspect of modeling is often overlooked in academic papers, better communication of modeling is an integral part of producing useful models. One of the most important aspects of successful modeling translation is transparency in how models are built and how they should be used, which is covered in the aforementioned EPIFORGE 2020 guidelines176. Since COVID-19 modeling attracted many researchers without prior infectious disease modeling experience, the adoption of epidemic reporting guidelines is especially helpful to help modelers support decision-makers and avoid causing unintentional harm. To advance knowledge of best practices for translation, modelers should prioritize documentation of the process of sharing models with decision-makers when possible. For example, this paper documents the process of modelers working with policymakers in Utah to provide COVD-19 decision support177. By neglecting to share their experiences and knowledge on translation of models, modelers are missing an opportunity to harness the collaborative power of academia to identify best practices for translation and boost the utility of their work. Control the Messaging: Due to the uncertainty and fear surrounding an unprecedented outbreak, modeling results were sometimes sensationalized by the media or were bent to ...
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.
- Thank you for including a protocol registration statement.
Results from scite Reference Check: We found no unreliable references.
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