Riesgo de COVID-19 en españoles y migrantes de distintas zonas del mundo residentes en España en la primera oleada de la enfermedad

  1. C. Guijarro
  2. E. Pérez-Fernández
  3. B. González-Piñeiro
  4. V. Meléndez
  5. M.J. Goyanes
  6. M.E. Renilla
  7. M.L. Casas
  8. I. Sastre
  9. M. Velasco
  10. Alejandro Algora
  11. Juan Carlos Alonso-Punter
  12. Gregorio Bonilla Zafra
  13. Mercedes Bueno-Campaña
  14. Virgilio Castilla
  15. Ana Isabel Díaz-Cuasante
  16. Aurora Fabero
  17. Rosa María Fariña
  18. Isabel M. Galán
  19. Isabel González-Anglada
  20. M. Mercedes Izquierdo
  21. Susana Lorenzo
  22. Juan Emilio Losa
  23. Margarita Mosquera
  24. Carmen Noguera
  25. Montserrat Pérez-Encinas
  26. Gil Rodríguez-Caravaca
  27. José Francisco Valverde

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Abstract

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  1. Version published to 10.1016/j.rce.2020.10.006
  2. ScreenIT

    SciScore for 10.1101/2020.05.25.20112185: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIRB: The protocol received the approval of the local Independent Review Board / CEIm (Medicines Research Ethical Committee).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistical analyses were conducted with Stata 14 (StataCorp LLC, Texas, USA).
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    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:
    Some limitations of our study must be addressed. First, we did not have local data regarding socioeconomic status, education or other health conditions for migrants. However, on aggregate, migrants from Romania, Ukraine or Morocco residing in Spain belong to a relatively lower socioeconomic stratum all along Spain [27] and do not exhibit an increased risk for COVID-19 as opposed to migrants from Sub-Saharan Africa or Latin-America, suggesting that socioeconomic status may not be a major reason for the differences in COVID-19 incidence. Once the above-mentioned factors do not seem to adequately explain this increased incidence, we should pay attention to the ethnic background of the populations. Interestingly, a recent report from a large database from the Veteran administration suggests that Black and Hispanic individuals in the USA are experiencing an excess burden of Covid-19 not entirely explained by underlying medical conditions [28], in agreement with our results. Interestingly, recent reports from the USA suggest that the increased risk for black minorities does not occur in Asian minorities, also in agreement with our data [34]. These data point to a different ethnic background, in addition to other socio-economic reasons, as a potential risk factor for COVID-19. There are limited data regarding different susceptibility to respiratory viruses from different ethnic backgrounds. Some studies have suggested a greater susceptibility of racial minorities to influenza [35]. ...

    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.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.05.25.20112185 on medRxiv