SARS-CoV-2 Seroprevalence in Delhi, India, During September-October 2021: A Population-Based Seroepidemiological Study

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Abstract

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  1. SciScore for 10.1101/2021.12.28.21268451: (What is this?)

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

    Table 1: Rigor

    EthicsField Sample Permit: The sampling was conducted within each ward based on the residential settlement types which included planned colonies, urban slums, resettlement colonies, unauthorized colonies, and rural areas [9].
    IRB: Ethics: The study was approved by the Institutional Ethics Committee, Maulana Azad Medical College & Associated Hospitals, New Delhi vide F.1/IEC/MAMC/85/03/2021/No428 dated 21.08.2021.
    Consent: Electronic and informed consent was obtained from all the study participants.
    Sex as a biological variableA binary logistic regression analysis was conducted by considering IgG antibody as the outcome and the following independent variables; sex: male/female, age: <18/≥18, settlement: planned/other, past-history of Covid-19: present/absent, and vaccination status: no dose/at-least one dose.
    RandomizationSampling areas within each settlement type by simple random sampling (ii) Household selection by systematic random sampling, and (iii).
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Anti-SARS-CoV-2 IgG antibodies were detected using chemiluminescent technology based VITROS® assay on VITROS® 3600 (Ortho Clinical Diagnostics, Raritan, NJ, USA) [10].
    Anti-SARS-CoV-2 IgG
    suggested: None
    Software and Algorithms
    SentencesResources
    This questionnaire data was subsequently merged with the laboratory antibody test result data in Microsoft Excel 2013.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    The data were analysed using SPSS Version 25 (IBM Corp., Armonk, NY, USA).
    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: We detected the following sentences addressing limitations in the study:
    The small number of average daily Covid-19 cases and very low-test positivity rate after the subsiding of the second wave in Delhi is suggestive of the attainment of the herd immunity threshold in the population with the caveat for the expected waning of antibody titres over time [19, 20]. The study has certain limitations. First, due to duplicate unique id generated by field data enumerators and failure of app validated check, questionnaire data of ∼10% participants could not be matched with the unique identification labels of their laboratory samples resulting in a loss of their sociodemographic (except age and sex recovered from laboratory data) and vaccination attributes. During analysis, this missing data was assumed to be missing at random type. For a similar reason, the exact response rate of the survey could not be established although based on consultation with field nodal officers, it was not dissimilar from the previous round (<20%). Second, in this investigation, we could not differentiate between vaccination or natural infection induced antibody response since both anti-S and anti-N antibodies are generated by inactivated vaccines such as Covaxin [11]. Third, the S/CO only provided an indirect marker of IgG SARS-CoV-2 antibody titres and was not an absolute correlate of immunological protection. Moreover, immune protection against SARS-CoV-2 can be both triggered through both humoral and cell media immunity, and consequently, seropositivity may not necessarily be...

    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.