Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study
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SciScore for 10.1101/2020.03.12.20034660: (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 some limitations of our study. First, we cannot identify whether containment measures, social distancing measures or behavioural changes are most important in suppressing COVID-19 transmission. It is likely that each plays a role, noting that unlinked cases have been identified in the community and will continue to be …
SciScore for 10.1101/2020.03.12.20034660: (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 some limitations of our study. First, we cannot identify whether containment measures, social distancing measures or behavioural changes are most important in suppressing COVID-19 transmission. It is likely that each plays a role, noting that unlinked cases have been identified in the community and will continue to be identified, indicating that not every chain of transmission has been identified by contact tracing from known cases. While we have demonstrated major effects of control measures and behavioural changes on influenza transmission (Figure 3), we can only infer similar changes in COVID-19 transmissibility if the two viruses share similar dynamics of transmission. Second, our survey of population behaviours could have been affected by response bias, since we relied on self-reported data, and could have been affected by selection bias away from working adults, although this should have been reduced by conducting surveys in non-working as well as working hours. Without data on the non-respondents, we were unable to assess potential selection bias. Without a baseline survey before 23 January we could not compare changes in behaviours, although we have published the results of similar surveys from previous epidemics which can be used for comparison.6-8,19 Finally, while we identified reductions in the incidence of influenza virus infections in outpatients and paediatric inpatients (Figure 3), it is possible that these time series were affected by reduced health...
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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