Infoveillance to Analyze Covid19 Impact on Central America Population

  1. Josimar Edinson Chire Saire
  2. Roselyn Lemus-Martin

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Abstract

Infoveillance is an application within the Infodemiology field with the aim of monitoring public health and create public policies. Latin American countries have a different context about economics and health, so Infoveillance can be a useful tool to monitor and improve the decisions and be more strategical during the COVID-19 pandemic. The aim of this paper is to illustrate how data generated through Twitter can be used to help the implementation of strategies to address pandemic emergence in countries with Spanish as a native language in Central America by using a Text Mining Approach with Twitter as a data source in the capital of those countries.

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    SciScore for 10.1101/2020.05.26.20113514: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: Thank you for sharing your code and 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.

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  2. Version published to 10.1101/2020.05.26.20113514v1 on medRxiv