Data from the COVID-19 epidemic in Florida suggest that younger cohorts have been transmitting their infections to less socially mobile older adults
This article has been Reviewed by the following groups
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- Evaluated articles (Rapid Reviews Infectious Diseases)
Abstract
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Strength of evidence
Reviewers: Sandra McCoy (UC Berkeley) | 📒📒📒 ◻️◻️
Lee Worden (UCSF) | 📗📗📗📗◻️ -
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Sandra McCoy
Review 1: "Data From the COVID-19 Epidemic in Florida Suggest That Younger Cohorts Have Been Transmitting Their Infections to Less Socially Mobile Older Adults"
The author cautiously asserts that younger Floridians are responsible for transmitting COVID-19 to older Floridians, but this is not strongly supported due to the model's simplicity and data limitations. Findings add to existing evidence regarding transmission between age groups.
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Lee Worden
Review 2: "Data From the COVID-19 Epidemic in Florida Suggest That Younger Cohorts Have Been Transmitting Their Infections to Less Socially Mobile Older Adults"
The author's claim that resurgent incidence among younger people in Florida is driven by increased social mobility is only weakly supported, though it may plausible. The paper adds to existing evidence regarding transmission between age groups.
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SciScore for 10.1101/2020.06.30.20143842: (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 Let denote the observed incidence rate, which we calculate as the number nikt of infections diagnosed among age group i in county k on date t, as derived from our analytic database, divided by Nik, the projected population of age group i in county k (Population Studies Program 2019). Population Studies Programsuggested: NoneResults 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 …SciScore for 10.1101/2020.06.30.20143842: (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 Let denote the observed incidence rate, which we calculate as the number nikt of infections diagnosed among age group i in county k on date t, as derived from our analytic database, divided by Nik, the projected population of age group i in county k (Population Studies Program 2019). Population Studies Programsuggested: NoneResults 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:This study has a number of limitations. The basic data on confirmed COVID-19 cases was derived from a regime of partial, voluntary testing. Without universal, compulsory testing, it is difficult to draw definitive conclusions about trends in the incidence of new SARS-CoV-2 infections. Recent estimates from serologic surveys suggest that, at least in the period before the Full Phase 1 reopening, the actual incidence of infection was significantly higher (Havers et al. 2020) Nonetheless, the available evidence from this detailed study in the 16 most populous counties in Florida points to a substantial rise in case incidence in both younger and older adults after Full Phase 1 reopening went into effect on May 18. We lack detailed data on the symptomatology and case severity of individuals voluntarily undergoing testing. Without such data, it is difficult to evaluate definitively the hypothesis that the observed rise in COVID-19 case incidence, as seen in all adult age groups in Figures 2, 3, 4, 5, 10 and Appendix 1, was due in part to liberalization of testing criteria, thus resulting in expanded testing of milder cases. Still, the patterns of total tests and positive tests seen in Figure 6 for the entire state and in Figure 7 for a specific county are inconsistent with supply constraints on testing as an important explanation for the overall rise in COVID-19 incidence. Our analysis indicates that the time path of positive tests was largely independent of the number of total tes...
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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