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Investigating the Effectiveness of Government Public Health Systems against COVID-19 by Hybrid MCDM Approaches

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  • Jiaji Pan

    (College of Engineering and Design, Hunan Normal University, Changsha 410081, China
    State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University, Changsha 410081, China)

  • Ruilin Fan

    (College of Engineering and Design, Hunan Normal University, Changsha 410081, China)

  • Hanlu Zhang

    (College of Engineering and Design, Hunan Normal University, Changsha 410081, China)

  • Yi Gao

    (College of Engineering and Design, Hunan Normal University, Changsha 410081, China)

  • Zhiquan Shu

    (School of Engineering and Technology, University of Washington Tacoma, Tacoma, WA 98402, USA)

  • Zhongxiang Chen

    (College of Engineering and Design, Hunan Normal University, Changsha 410081, China)

Abstract

To elucidate the effectiveness of the containment strategies against the pandemic, a Multi-Criteria Decision Making (MCDM) model is established to evaluate the government’s performance against COVID-19. In this study, the Analytic Hierarchy Process (AHP), Entropy, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method are used in determining the performance of the public health system. We adopt both subjective and objective weighting methods for a more accurate evaluation. In addition, the evaluation of performance against COVID-19 is conducted in various aspects and divided into different periods. Data Envelopment Analysis (DEA) is applied to evaluate the sustainability of the public health system. Composite scores of the public health system are determined based on the performance and sustainability assessment. The five countries, South Korea, Japan, Germany, Australia, and China are rated with higher composite scores. On the country, the US, Indonesia, Egypt, South Africa, and Brazil receive lower rating scores among the countries for evaluation. This modeling study can provide a practical quantitative justification for developing containment policies and suggestions for improving the public health system in more countries or areas.

Suggested Citation

  • Jiaji Pan & Ruilin Fan & Hanlu Zhang & Yi Gao & Zhiquan Shu & Zhongxiang Chen, 2022. "Investigating the Effectiveness of Government Public Health Systems against COVID-19 by Hybrid MCDM Approaches," Mathematics, MDPI, vol. 10(15), pages 1-20, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2678-:d:875484
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