Depression and Associated Factors Among Refugees Amidst Covid-19 in Nakivale Refugee Camp in Uganda

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Abstract

The COVID-19 pandemic and health measures to prevent it have unprecedented effects on the mental health of the refugees. However, the situation of refugees in developing countries is unclear. Thus, this study estimated the prevalence of and associated demographic factors during the COVID-19 pandemic. The study employed a cross-sectional survey carried out in June 2020 in which 146 adult refugees from Nakivale settlement camp were randomly selected to fill out a questionnaires-demographics and PHQ9. Results revealed that the majority of respondents were female (53%) and 47% had a depressive disorder. There was no statistical relationship between demographics (gender, age, and marital status) and depressive disorders. In Conclusion, findings indicate that depressive disorders are prevalent among refugees in the Nakivale settlement and it is important to identify refugees affected mentally and given proper treatment

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  1. SciScore for 10.1101/2020.10.21.20216754: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: We obtained written consent from all study participants and followed all the guidelines and regulations set out by the Uganda National Council of Science and Technology for data collection during the pandemic as well as those of the Research Ethical Review Committee.
    IACUC: We obtained written consent from all study participants and followed all the guidelines and regulations set out by the Uganda National Council of Science and Technology for data collection during the pandemic as well as those of the Research Ethical Review Committee.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    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.

    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.