FDA-authorized mRNA COVID-19 vaccines are effective per real-world evidence synthesized across a multi-state health system

This article has been Reviewed by the following groups

Read the full article See related articles

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Aaloke Mody

    Review 1: "FDA-authorized COVID-19 vaccines are effective per real-world evidence synthesized across a multi-state health system"

    This preprint found that two vaccine doses provide 88.7% effectiveness at preventing infection and lowered hospitalizations. The reviewers found the preprint potentially informative, due to the propensity score matching method, and could be improved by additional studies.

  2. Tiancheng Zhao

    Review 2: "FDA-authorized COVID-19 vaccines are effective per real-world evidence synthesized across a multi-state health system"

    This preprint found that two vaccine doses provide 88.7% effectiveness at preventing infection and lowered hospitalizations. The reviewers found the preprint potentially informative, due to the propensity score matching method, and could be improved by additional studies.

  3. SciScore for 10.1101/2021.02.15.21251623: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study was reviewed and approved by the Mayo Clinic Institutional Review Board (IRB 20-003278) as a minimal risk study.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    To obtain the propensity scores for the matching procedure, we trained regularized logistic regression models for each zip code using the software package sklearn v0.20.3 in Python.
    Python
    suggested: (IPython, RRID:SCR_001658)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when …