Long- and short-term effects of cross-immunity in epidemic dynamics
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SciScore for 10.1101/2022.04.04.22273361: (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:A limitation of our model with rolling strains is that we only implement sterilizing immunity, as attenuating immunity poses some computational challenges. However, we can use the equivalence captured by Eq. 17 to find out what strains would have had similar effects using our second mechanism. A more general limitation is in assuming SIR …
SciScore for 10.1101/2022.04.04.22273361: (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:A limitation of our model with rolling strains is that we only implement sterilizing immunity, as attenuating immunity poses some computational challenges. However, we can use the equivalence captured by Eq. 17 to find out what strains would have had similar effects using our second mechanism. A more general limitation is in assuming SIR equations throughout. More factors, both biological (incubation period, super-spreaders, etc.) and social (confinement, fear, social distancing, etc.), affect the empirical parameters from SARS-CoV-2 analyzed. Our charts should be taken as limit cases. It is noteworthy, however, that we can produce meaningful tools for a real, ongoing epidemic process—this should be furthered. Note also that most of these factors would slow viral spread compared to actual SIR processes. Thus, more accurate models should result in more lenient thresholds. The SARS-CoV-2 pandemic made explicit a very important limitation of SIR-like models: while they reveal overall trends and the existence of phenomena such as herd-immunity thresholds, they are useless to predict even the most salient aspects of a specific out-break (namely, its magnitude and duration) [10]. We explore our models with the same philosophy, avoiding specific predictions and seeking broad qualitative changes induced by cross-immunity. To overcome the problems of compartmental models, and allow us to apply them in more realistic situations, two strategies are being explored: (i) To produce more de...
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.
Results from scite Reference Check: We found no unreliable references.
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