Breastfeeding Practices Among Mothers During COVID-19 in India

  1. Ajoke Akinola Akinola
  2. N. H. Simon
  3. Nasteha Abdikadir Mohamed

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Abstract

Introduction

The Covid-19 pandemic is disrupting normal life globally. The COVID-19 pandemic is an emerging concern regarding the potential effects during breastfeeding. The aim of this study was to conduct a systemic review of mother-to -child transmission of COVID-19 during breastfeeding.

Method

This study systematically searched electronic databases; google scholar, PubMed, Medline, up December 2020. The study was included studies relevant to transmission breast milk and respiratory droplets during breastfeeding of mothers with COVID-19 positive. To identify the quality of data, prism standard was used and Strobe checklist scale.

Result

A total of 3160 records were identified in this systemic review with eight relevant studies involving 159 mothers (63 mothers with COVID-19 positive, 55 of their breast milk samples tested negative for the-Covid-19. Twenty-one breast milk samples from 8 women tested positive for Covid-19. Of 73 infants were born to mothers with COVID-19 at the time of delivery. Two infants tested positive for Covid-19. The average mother-child separation time was 36•7 ± 21•1 days among mothers confirmed with COVID-19. Out of 22 mothers, ((37.5%) chose to breastfeed their babies after confirm covid-19 positive.

Conclusion

This study shown that breastfeeding practices were extremely impacted during the COVID-19 epidemic among both confirmed positive cases and suspected mothers. However, the risk of mother-to-infant transmission of Covid-19 vertically or horizontally, in the perinatal period is very low.

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  1. ScreenIT

    SciScore for 10.1101/2021.08.06.21261582: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Search strategy: To gather available literature for this systematic review a search was conducted through PubMed, Google Scholar and Medline databases, up December 2020.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    Medline
    suggested: (MEDLINE, RRID:SCR_002185)

    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.

  2. Version published to 10.1101/2021.08.06.21261582v1 on medRxiv