Clinical and Demographic Characteristics of COVID-19 patients in Lagos, Nigeria: A Descriptive Study

  1. Ngozi Mirabel Otuonye
  2. Testimony Jesupamilerin Olumade
  3. Mercy Mayowa Ojetunde
  4. Susan Abba Holdbrooke
  5. Joy Boluwatife Ayoola
  6. Itse Yusuf Nyam
  7. Bamidele Iwalokun
  8. Chika Onwuamah
  9. Mabel Uwandu
  10. Akinola Abayomi
  11. Akin Osibogun
  12. Abimbola Bowale
  13. Bodunrin Osikomaiya
  14. Babafemi Thomas
  15. Bamidele Mutiu
  16. Nkiruka Nnonyelum Odunukwe

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Abstract

No abstract available

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  1. Version published to 10.1016/j.jnma.2020.11.011
  2. ScreenIT

    SciScore for 10.1101/2020.09.15.20195412: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Study Design and Participants: With ethical approval obtained from the Institutional Review Board (IRB) at the Nigerian Institute of Medical Research (NIMR), Yaba, Lagos, Nigeria, patient data were obtained and reviewed at the Mainland Infectious Disease Hospital, Yaba.
    Consent: Informed consent was also obtained from the study participants before their health records were obtained.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Descriptive analyses were performed using Statistical Package for the Social Science (SPSS) version 25 (IBM, 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:
    This study has its limitations. First, the study is limited by the sample size. Only 154 patients were included in the study. Suspected, but not confirmed, cases were not included in this study. More patient data from other health centres around the country should be added to obtain a more comprehensive understanding of the clinical characteristics of the disease in the country. Second, patient data such as travel history was also incomplete at the time this study was conducted, hence the assumption of local transmission. However, this study presents, to the best of our knowledge, the largest report describing the clinical characteristics of COVID-19 patients in Nigeria. In conclusion, this study presents the most extensive description, to date, on the clinical and demographic characteristics of COVID-19 patients in Nigeria. From the results of this study, males are more likely to be infected with COVID-19, and the most occurring symptoms are fever, breathing difficulty, malaise, dry cough and chest pain. Old age and the presence of co-morbidities may also be associated with disease severity. Summary Table: Summary Sentence: This work represents an advance in biomedical science because we present the most extensive description so far on the clinical and demographic characteristics associated with COVID-19 in Nigeria. Ethical Approval and Consent to Participate: Approval to conduct this study was received from the Institutional Review Board (IRB) at NIMR, Yaba, Lagos. Informed...

    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.

  3. Version published to 10.1101/2020.09.15.20195412v1 on medRxiv