Optimal Allocation of COVID-19 Test Kits Among Accredited Testing Centers in the Philippines

  1. Christian Alvin H. Buhat
  2. Jessa Camille C. Duero
  3. Edd Francis O. Felix
  4. Jomar F. Rabajante
  5. Jonathan B. Mamplata

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Abstract

No abstract available

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  1. Version published to 10.1007/s41666-020-00081-5
  2. ScreenIT

    SciScore for 10.1101/2020.04.14.20065201: (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: Thank you for sharing your code and data.

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    The model exhausts all available test kits but the complexity of test kit resource dynamics determines the limitation of our study. Further studies should also incorporate individuals needing multiple tests, effectiveness of testing kits, and transport time for testing kit delivery. In conclusion, a larger amount of test kits (not limited to initial testing, and to symptomatic patients) and more testing centers are ideal to increase the number of individuals tested to aid in “flattening” the epidemic curve.

    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 10.1101/2020.04.14.20065201v1 on medRxiv