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

Jiaji Pan, Ruilin Fan, Hanlu Zhang, Yi Gao, Zhiquan Shu and Zhongxiang Chen
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Jiaji Pan: College of Engineering and Design, 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

Mathematics, 2022, vol. 10, issue 15, 1-20

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.

Keywords: COVID-19; MCDM; AHP-entropy-TOPSIS; DEA; performance evaluation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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