Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis

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Abstract

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  1. SciScore for 10.1101/2021.04.30.21256386: (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
    The reporting guidelines in the reporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement were used (45).
    RECORD
    suggested: (RECORD, RRID:SCR_009097)

    Results from OddPub: Thank you for sharing your code.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Among the limitations of this analysis are the likely inconsistencies in reporting of cases and deaths over time and between places. Also, the covariates included as proxy measures of social development may not fully reflect the impact of wealth and employment type on the ability of individuals in different areas to adopt social distancing and lessen their risk of infection. Another limitation is that places on the border regions of a state may be distant from the most populous place in that state but closer to a large city in a neighbouring state. However, given the small effect sizes for this covariate the effect on the outcome would be small. Since December 2020 cases have begun to increase again, initially focussed on cities such as Manaus in the Northern Amazonas (3,49,50). There is emerging evidence this new variant of concern (P1) has higher transmissibility and exhibits the ability to evade that the neutralising effect of antibodies to previous infection. The P1 variant has rapidly spread to become the dominant strain in Amazonas state and throughout the country. Analyses of factors associated with early development of the epidemic may be useful in predicting the spread of this new variant. Continual tracking of this next phase of the epidemic using methods demonstrated in our analyses will be important to assess similarities and differences in the spatial spread of different COVID-19 epidemic waves. These analyses should include spatially disaggregated data on vaccin...

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    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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