Utilizing prospective space-time scan statistics to discover the dynamics of coronavirus disease 2019 clusters in the State of São Paulo, Brazil
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Abstract
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SciScore for 10.1101/2020.06.04.20122770: (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: 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:Despite the contributions of our study, there are a few limitations that are worth pointing out. First, the cylindrical shapes of the cluster detection are likely not the true shape of the COVID-19 clusters. Second, we utilized lab confirmed case data, which does not capture the true burden of the epidemic in São Paulo State. We …
SciScore for 10.1101/2020.06.04.20122770: (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: 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:Despite the contributions of our study, there are a few limitations that are worth pointing out. First, the cylindrical shapes of the cluster detection are likely not the true shape of the COVID-19 clusters. Second, we utilized lab confirmed case data, which does not capture the true burden of the epidemic in São Paulo State. We encourage researchers to examine our results and future work can understand the transmission dynamics of COVID-19 in the State and identify predictors of the epidemic. Third, future work can adjust for significant predictors of COVID-19 when computing the space-time scan statistic Finally, we used a prospective space-time statistical model, so we disregard clusters that “disappeared” during the study period and were not active on May 5th, 2020.
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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