Superspreading of SARS-CoV-2 infections: A Systematic Review and Meta-analysis
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Abstract
Superspreading in transmission is a feature of SARS-CoV-2 transmission. We conducted a systematic review and meta-analysis on globally reported dispersion parameters of SARS-CoV-2. The pooled estimate was 0.55 (95% CI: 0.30, 0.79). The study location and method were found to be important drivers for its diversity.
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SciScore for 10.1101/2021.12.09.21267507: (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
Software and Algorithms Sentences Resources Search Strategy and Selection Criteria: All searches were carried out on 10 September 2021 in PubMed for articles published from 1 January 2020 to 10 September 2021. PubMedsuggested: (PubMed, RRID:SCR_004846)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:Our study has several limitations. Most articles included in our study used publicly available data. Some studies in …
SciScore for 10.1101/2021.12.09.21267507: (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
Software and Algorithms Sentences Resources Search Strategy and Selection Criteria: All searches were carried out on 10 September 2021 in PubMed for articles published from 1 January 2020 to 10 September 2021. PubMedsuggested: (PubMed, RRID:SCR_004846)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:Our study has several limitations. Most articles included in our study used publicly available data. Some studies in our review might have used overlapping data, leading to double counting in the pooled estimates. And with the recent emergence of variants that may be more transmissible and evade immunity acquired through prior infection or vaccination, the future of the pandemic is highly uncertain. Meanwhile, SARS-CoV-2 viruses are constantly evolving through mutation; genetic variations have emerged and circulated over the world which may modify individual infectiousness profiles. We are still not clear about the impact of variants on overdispersion, perhaps by increasing transmissibility. Our pooled estimate is based on the previous transmission of wide-type in early 2020, which may not be generalisable to the dominant variant Delta and future studies will be needed to conduct the comparison. In conclusion, multiple estimates of the dispersion parameter have been published for 17 studies, which could be related to where and when the data was obtained. The study location and method were found to be important drivers for diversity in estimates of dispersion parameters.
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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