COVID in Post Vaccinated individuals- Beacon of Light

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

COVISHIELD and COVAXIN have been introduced post rapid approval as COVID vaccines in India, which has the second most COVID cases across countries. These vaccines are being administered in a two-dose schedule from 16 Jan 2021. This study deals with the clinical profile of individuals who developed COVID infection post-COVID vaccination.

This is the first study of similar nature in India.

Methodology

The study population comprised of individuals who were detected to be COVID positive 04 weeks post-vaccination and were compared with individuals detected positive within the first 04 weeks of vaccination. Data was collected in a digital questionnaire format and analyzed with SPSS v-23 software. Clinical features were profiled in detail. Chi-square analysis was done to find out the association of various demographic features with the severity of the disease.

Results

In the study population, fever was the commonest symptom (75.1%) followed by anosmia (72.1%), and shortness of breath (16.3%). There was a lower incidence of fever, cough, dyspnea, and requirement of hospitalization in the study population as compared to the control group and previous epidemiological data. The time required for complete recovery and disease severity was favorable in our study population. There was a significant correlation in the rate of hospitalization among the study group and the comparative group (p=0.0001) and between the number of dosage of COVID vaccine with the lowest SpO2 recorded (p=0.001).

Conclusion

This study will boost the ongoing initiative of having a maximal vaccinated population countrywide and emphasize the need for two doses of vaccination.

Article activity feed

  1. SciScore for 10.1101/2021.06.18.21258796: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Informed consent was taken from all participants.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data of all the beneficiaries were compiled and collated in an excel sheet and was analyzed after data cleaning using SPSS v-23.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.