The effect of large-scale anti-contagion policies on the COVID-19 pandemic
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SciScore for 10.1101/2020.03.22.20040642: (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 Epidemiological, case definition/testing regime, and policy data for each of the six countries in our sample were collected from a variety of in-country data sources, including government public health websites, regional newspaper articles, and crowd-sourced information on Wikipedia. Wikipediasuggested: (Wikipedia, RRID:SCR_004897)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 the limitations of available data pose challenges to our analysis, our aim is to use …
SciScore for 10.1101/2020.03.22.20040642: (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 Epidemiological, case definition/testing regime, and policy data for each of the six countries in our sample were collected from a variety of in-country data sources, including government public health websites, regional newspaper articles, and crowd-sourced information on Wikipedia. Wikipediasuggested: (Wikipedia, RRID:SCR_004897)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 the limitations of available data pose challenges to our analysis, our aim is to use what data exist to estimate the first-order impacts of unprecedented policy actions in an ongoing global crisis. As more data become available, related findings will become more precise and may capture more complex interactions. Furthermore, this analysis does not account for interactions between populations in nearby localities, 13 nor mobility networks.3, 4, 8, 9 Nonetheless, we hope these results can support critical decision-making, both in the countries we study and in the other 180+ countries where COVID-19 infections have been reported.7 A key advantage of our reduced-form “top down” statistical approach is that it captures the real-world behavior of affected populations without requiring that we explicitly model underlying mechanisms and processes. This is useful in the current pandemic where many process-related parameters remain uncertain. However, our results cannot and should not be interpreted as a substitute for “bottom up” process-based epidemiological models specifically designed to provide guidance in public health crises. Rather, our results complement existing models, for example, by helping to calibrate key model parameters. We believe both forward-looking simulations and backward-looking empirical evaluations should be used to inform decision-making. Our analysis measures changes in local infection growth rates associated with changes in anticontagion policies. A ne...
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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