Temporal Changes in the Risk of Superspreading Events of Coronavirus Disease 2019
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Abstract
To identify the temporal change in the possible risk of superspreading events, we estimated the overdispersion parameter in 2 different periods of the coronavirus disease 2019 pandemic. We determined that the possible risk of superspreading events was reduced 90% during the second epidemic period in South Korea.
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SciScore for 10.1101/2021.05.10.21256927: (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:There are several limitations in our study. First, we used a case report from public health authorities that is not free from under-reporting of cases and could bias our results. Therefore, our result of the possible risk of SSE is likely to be a lower bound estimate. Second, we have not included cases from the Daegu-Gyeongsangbuk …
SciScore for 10.1101/2021.05.10.21256927: (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:There are several limitations in our study. First, we used a case report from public health authorities that is not free from under-reporting of cases and could bias our results. Therefore, our result of the possible risk of SSE is likely to be a lower bound estimate. Second, we have not included cases from the Daegu-Gyeongsangbuk region, which originated primarily from the Shincheonji religious group. A previous report demonstrated that there was a delay of several days in detecting cases that could affect the size of the cluster. Therefore, this group may not reflect the typical characteristics of the transmission. Third, we have not included the latter period of COVID-19 pandemic which the number of COVID-19 case was larger than previous two period in the present study. However, this outbreak was mainly originated anti-governmental rallies related with religious groups which avoiding contact tracing were reported [12]; hence, did not reflect characteristics of typical community transmission in South Korea. Fourth, we had not included the genetic sequencing data of the cases, as genetic sequencing was not conducted in most cases. Therefore, we could not rule out a pseudo-outbreak of COVID-19 in which the PCR results were false-positive [13] or infection was acquired from outside the cluster. In conclusion, our study suggests that there were temporal changes in the possible risk of SSE in South Korea. Ongoing monitoring of the risk of SSE would help to assess the impact of 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.
Results from scite Reference Check: We found no unreliable references.
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