Impact of Public Health Education Program on the Novel Coronavirus Outbreak in the United States

  1. Enahoro Iboi
  2. Ariana Richardson
  3. Rachel Ruffin
  4. DeAndrea Ingram
  5. Jailyn Clark
  6. Jala Hawkins
  7. Maati McKinney
  8. Nianza Horne
  9. Reyla Ponder
  10. Zoe Denton
  11. Folashade B. Agusto
  12. Bismark Oduro
  13. Lanre Akinyemi

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Abstract

The coronavirus outbreak in the United States continues to pose a serious threat to human lives. Public health measures to slow down the spread of the virus involve using a face mask, social-distancing, and frequent hand washing. Since the beginning of the pandemic, there has been a global campaign on the use of non-pharmaceutical interventions (NPIs) to curtail the spread of the virus. However, the number of cases, mortality, and hospitalization continue to rise globally, including in the United States. We developed a mathematical model to assess the impact of a public health education program on the coronavirus outbreak in the United States. Our simulation showed the prospect of an effective public health education program in reducing both the cumulative and daily mortality of the novel coronavirus. Finally, our result suggests the need to obey public health measures as loss of willingness would increase the cumulative and daily mortality in the United States.

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  1. Version published to 10.3389/fpubh.2021.630974
  2. Version published to 10.1101/2021.01.18.21250047v3 on medRxiv
  3. Version published to 10.1101/2021.01.18.21250047v2 on medRxiv
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    SciScore for 10.1101/2021.01.18.21250047: (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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  5. Version published to 10.1101/2021.01.18.21250047v1 on medRxiv