COVID-19; Systematic and literature review of transmission, case definitions, clinical management and clinical trials.

  1. Laura McArthur
  2. DhanaSekaran Sakthivel
  3. Ricardo Ataide
  4. Felicia Chan
  5. Jack S Richards
  6. Charles A Narh

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Abstract

Background: SARS-CoV-2, the viral agent responsible for coronavirus disease 2019 (COVID-19) was identified in Wuhan, China at the end of December 2019. It rapidly spread to the rest of the world, and was declared a Public Health Emergency of International Concern on the 30th of January 2020. Our understanding of the virus, it is clinical manifestations and treatment options continues to evolve at an unparalleled pace. Objective: This review sought to summarise the key literature regarding transmission, case definitions, clinical management and trials, and performed a systematic review of reported clinical data on COVID-19. Synthesis methods: Two reviewers selected all the literature independently, and extracted information according to pre-defined topics. Results: COVID-19 is pandemic with ~4 million cases and 270,000 deaths in 210 countries as of 8 May 2020. Our review of reports showed that SARS-CoV-2 was mainly transmitted via inhalation of respiratory droplets containing the virus and had an incubation period of four to six days. The commonly reported symptoms were fever (80%) and cough (60%) across the spectrum of clinical disease - mild, moderate, severe and critical. Categorization of these cases for home care or hospital management need to be well defined considering the age of the patient and the presence of underlying co-morbidities. The case definitions we reviewed varied among affected countries, which could have contributed to the differences observed in the mean case fatality rates among continents: Oceania (1%), Asia (3%), Africa (4%), South America (5%), North America (6%) and Europe (10%). Asymptomatic cases, which constituted an estimated 80% of COVID-19 cases are a huge threat to control efforts. Conclusion: The presence of fever and cough may be sufficient to warrant a COVID-19 testing but using these symptoms in isolation will miss a proportion of cases. A clear definition of a COVID-19 case is important for managing, treating and tracking clinical illness. While several treatments are in development or in clinical trials for COVID-19, home care of mild/moderate cases and hospital care for severe and critical cases remain the recommended management for the disease. Quarantine measures and social distancing can help control the spread of SARS-CoV-2.

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  1. ScreenIT

    SciScore for 10.1101/2020.05.14.20102475: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Literature search for articles relevant for the topics discussed in this review was performed using OVID Medline, PubMed and Google Scholar.
    Medline
    suggested: (MEDLINE, RRID:SCR_002185)
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    For case management, the NIH Clinical Trials database (https://clinicaltrials.gov/) was reviewed.
    https://clinicaltrials.gov/
    suggested: (ClinicalTrials.gov, RRID:SCR_002309)
    For each symptom, the average proportion of the number of patients with that symptom was estimated and plotted with the upper standard error using Microsoft Excel.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    The data extracted from Worldometer (21) was imported to Stata/SE 16.1 (StataCorp, TX, USA) and the country names were spelt to match those of the country shapefile.
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    Results from OddPub: Thank you for sharing your data.

    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.

  2. Version published to 10.1101/2020.05.14.20102475v1 on medRxiv