A stochastic agent-based model of the SARS-CoV-2 epidemic in France
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SciScore for 10.1101/2020.04.30.20086264: (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: Thank you for sharing your code.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Our study has several limitations. First, the model was calibrated on the diagnosis and mortality rates available from Santé Publique France19 and Institut Pasteur.24 However, we cannot exclude the possibility that these parameters are biased, as asymptomatic undiagnosed patients are likely responsible for a large hidden epidemic. Nevertheless, the observed differences across scenarios remained unchanged when considering a much higher and …
SciScore for 10.1101/2020.04.30.20086264: (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: Thank you for sharing your code.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Our study has several limitations. First, the model was calibrated on the diagnosis and mortality rates available from Santé Publique France19 and Institut Pasteur.24 However, we cannot exclude the possibility that these parameters are biased, as asymptomatic undiagnosed patients are likely responsible for a large hidden epidemic. Nevertheless, the observed differences across scenarios remained unchanged when considering a much higher and unlikely8–10 diagnosis rate of 1 in 10, supporting the robustness of our conclusions. Second, the contact matrix was approximated using multiple assumptions for each type of contact. However, we found that the model calibrated well, suggesting that it might adequately predict the course of the COVID-19 epidemic in France. Third, following standard assumptions, we considered that infected people could develop immunity for at least several months. However, post-COVID-19 immunity length remains unknown. Fifth, the impact of many of mitigation measures depends on how people react and adhere to them, which is likely to vary across segments of the populations. Finally, as with any simulation model, the results should be interpreted as estimates. SARS-CoV-2 represents a major public health threat in France and worldwide. Post-quarantine social distancing and wearing of masks for the whole population, coupled with shielding of vulnerable people would substantially lower mortality and prevent a second lockdown. If these measures are applied by most p...
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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