Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study
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SciScore for 10.1101/2020.05.07.20092353: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. 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:This study is subject to multiple limitations. First, we focus on quantifying the relationship between social distancing and case growth rates, therefore the role of other potential mitigating factors (e.g., wearing masks, hand …
SciScore for 10.1101/2020.05.07.20092353: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. 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:This study is subject to multiple limitations. First, we focus on quantifying the relationship between social distancing and case growth rates, therefore the role of other potential mitigating factors (e.g., wearing masks, hand washing, etc.) that could also have contributed to the decline in the case growth rate observed during March are not accounted for. Second, we use the growth rate ratio (GR) as our representative variable for the degree of transmission occurring in a region. We believe this is an intuitive and representative estimate for the spread of COVID-19 amongst a local population, but future extensions of this analysis can explore replacing this variable with more traditional transmission indexes commonly used in infectious disease epidemiology. Third, the case data is error prone due to both reporting issues and limited testing capacity, especially in early March before widespread testing was underway. We partially address this issue by using a 3-day moving average for the case data. Forth, the analysis is focused on 25 counties which may represent a biased sample of locations; however, the same results are shown to hold when extrapolated up to the state level, which lends additional confidence to the conclusions. Last, the data used in this analysis does not differentiate amongst sociodemographic groups, and therefore may not representatively capture all groups such as the elderly, low income families and under-representative minorities, for whom social distan...
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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