Modelling the impact of relaxing COVID ‐19 control measures during a period of low viral transmission
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SciScore for 10.1101/2020.06.11.20127027: (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:Limitations and further work: The main limitations to this work are around model features, disease epidemiology parameters and contact network parameters. This model currently only attributes basic properties to individuals, specifically age, household structure and participation in different contact networks. Therefore, the model does …
SciScore for 10.1101/2020.06.11.20127027: (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:Limitations and further work: The main limitations to this work are around model features, disease epidemiology parameters and contact network parameters. This model currently only attributes basic properties to individuals, specifically age, household structure and participation in different contact networks. Therefore, the model does not account for any other demographic and health characteristics such as socioeconomic status, comorbidities (e.g. non-communicable diseases) and risk factors (e.g. smoking) and so cannot account for differences in transmission risks, testing, quarantine adherence or disease outcomes for different population subgroups. Further work is required with the specific aims of assessing the impact of policy changes on different subsets of the community. The model also does not include a geospatial component and so cannot capture geographic clustering of infections or concentration of interventions, including differential tracing app uptake in urban versus rural settings or among people attending particular events or settings, or concentrated testing in response to a localised outbreak. This means that our projections may be overestimating outbreak sizes as geographic clustering may slow epidemic spread. Data reported on disease parameters such as duration of asymptomatic and infectious periods, as well as age-specific estimates of susceptibility, transmissibility and disease severity and are likely to be influenced by differences in surveillance system...
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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