Identification of severity zones for mitigation strategy assessment COVID-19 outbreak in Malaysia

  1. Tahir Ahmad
  2. Azmirul Ashaari
  3. Siti Rahmah Awang
  4. Siti Salwana Mamat
  5. Wan Munirah Wan Mohamad
  6. Amirul Aizad Ahmad Fuad
  7. Nurfarhana Hassan

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Abstract

The objective of this research is to identify severity zones for the COVID-19 outbreak in Malaysia. The technique employed for the purpose is fuzzy graph that can accommodate scarcity, quantity, and availability of data set. Two published sets of data by the Ministry of Health of Malaysia are used to implement the technique. The obtained results can offer descriptive insight, reflection, assessment, and strategizing actions in combating the pandemic.

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  1. ScreenIT

    SciScore for 10.1101/2020.05.19.20107359: (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

    Software and Algorithms
    SentencesResources
    All these xi(0 ≤ xi ≤ 1) are rescaled to keep Repeat all the steps until the 2 × 2 matrix is attained.
    Repeat
    suggested: (ProRepeat, RRID:SCR_006113)

    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 10.1101/2020.05.19.20107359v1 on medRxiv