Determining the effectiveness of countries in combating pandemics: COVID-19 case

Author:

Keskin Zeynep Büsra,Delice Elif KiliçORCID

Abstract

The aim of this study is to develop a multidimensional integrated efficiency analysis (MDIEA) model to be implemented when a pandemic breaks out. The first phase of the model involved the determination of input and output criteria that might affect the course of combat against the pandemic. Two methods were employed in the second phase: the CRITIC method, which uses objective values to determine criteria weights; and, the Fuzzy SWARA method, which is based on subjective values and decision-makers opinions due to the assumption that the criteria might not be determined precisely and completely. The subjective and objective criteria weights obtained from these two methods were combined using the SOWIA method so that integrated criteria weights could be determined. In the third phase, three separate efficiency rankings were obtained using EATWOS, OCRA, and FDEA methods depending on the criteria weights. In the fourth phase, these efficiency rankings were combined by employing the TPOP method to obtain one single precise ranking. The previous studies mostly analyzed the efficiency of countries by using one single efficiency method, where, the model proposed in this study determines countries’ efficiency by employing three different efficiency analysis methods together; it makes use of different points of view and different calculation procedures of different methods. As another aspect, rural population ratio, diabetes prevalence rate, proportion of the population over 65 years old, number of intensive care beds and number of vaccine doses are study-specific criteria, unlike other studies. The present study is expected to contribute to the literature since it is the first study that proposes a model to evaluate the performances of countries during pandemics. The proposed model was implemented to assess OECD countries’ efficiency in their fight against COVID-19, which was a prevailing crisis worldwide. When all the obtained results are considered, it is difficult to claim that one single criterion is effective in combating the pandemic. For an effective fight against the pandemic, it is of great importance to keep the rate of infection and therefore the number of infected people under control. It is also possible for countries to change their policies or adopt stricter policies to contain the spread of the virus.

Publisher

EDP Sciences

Subject

Management Science and Operations Research,Computer Science Applications,Theoretical Computer Science

Reference62 articles.

1. Wikipedia, List of Outbreaks-Wikipedia. Accessed: October 25, 2021. https://tr.wikipedia.org/wiki/Salginlar_listesi.

2. WHO, WHO Coronavirus (COVID-19) Dashboard, Accessed: October 25, 2021. https://covid19.who.int/.

3. Saygin Z.O., Analysis of OECD countries in terms of health indicators with an integrated multi-criteria decision-making approach. Master’s thesis. Pamukkale University Institute of Social Sciences (2019).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HEALTHCARE SYSTEM EFFICIENCY AND ITS DRIVERS IN PRE- AND COVID-19 PANDEMIC SETTINGS;Business, Management and Economics Engineering;2023-12-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3