Los Angeles County SARS-CoV-2 Epidemic: Critical Role of Multi-generational Intra-household Transmission

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Abstract

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  1. SciScore for 10.1101/2020.10.11.20211045: (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
    SentencesResources
    We similarly used the ACS five-year public use microsample to determine three other CSA-based indicators: the proportion of households receiving food stamps under the Supplemental Nutrition Assistance Program (SNAP, median 7.3% among 300 CSAs); the proportion of households with total income below $22,000 annually, the amount that one full-time worker would earn at California’s minimum wage of $11 per hour (INC22, median 15.5%); and the proportion of households with at least one person engaged in a low-wage occupation that cannot be performed remotely (OCCUP, median 14.1%).‡ 2.3. SafeGraph Data: We relied upon the Patterns database issued by SafeGraph (SafeGraph Inc. 2020), which describes the movements of smartphones equipped with location-tracking software to numerous points of interest throughout the United States.
    Nutrition Assistance Program
    suggested: None
    SNAP
    suggested: (SNAP, RRID:SCR_007936)

    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:
    Strengths and Limitations of This Study: Our study takes advantage of the cohort structure of our database, in which we follow a group of related geographic units longitudinally over time. This structure allowed us to test a model of radial geographic expansion during Phases I and II of the Los Angeles County COVID-19 epidemic, and to elucidate the substantial heterogeneity of transmission patterns within the county over time. While the global reproductive number ℛ hovered around 1 during Phase II, our approach permitted us to discern local reproductive numbers ranging from 0.6 to 1.5. While the overall confirmed case incidence rate rose by about 10-fold during Phase IV, we were able to identify wide community-specific dispersion in cumulative disease rates. On the other hand, our study is exclusively population-based. We do not follow a longitudinal cohort of individual households to see how many young adult members went to a restaurant or a gym, got infected, and then brought their infections home to older household members. A population-based indicator such as the proportion of households at risk for multigenerational transmission (MULTI) could thus be criticized as no more than a proxy for some other correlated characteristic of the community. To be sure, we confirmed the quantitative importance of multi-generational household prevalence in a cross-sectional regression analysis that included other measures of poverty (INC22, SNAP) as well as the proportion of households w...

    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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