Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July

  1. Josimar E. Chire Saire
  2. Kobby Panford-Quainoo

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Abstract

Present pandemic generated by Coronavirus Covid-19 has stopped the world, from Tourism, Business, Education and more. Actually, there are reported cases in every continent from America to Europe, from Europe to Australia. Africa is one continent in process of development with a variety of languages, limitations/problems and of course, abundance of culture. The aim of this paper is to analyze the impact in one country located in the middle-west, named Ghana. The data source for the analysis is Twitter(Social Network) and the analysis is using a Text Mining approach. Besides, a composition of graphics are presented considering Google search, daily reported cases. The study is exploratory to know what topics are most frequent in Great Accra Region. The conclusions are: Twitter is useful to get data for the analysis, and the interest of user from Ghana was high at the beginning but it was decreasing from April until July, probably the people is tired or adapting themselves to the actual situation.

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  1. ScreenIT

    SciScore for 10.1101/2020.08.25.20182048: (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

    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

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  2. Version published to 10.1101/2020.08.25.20182048v1 on medRxiv