Analysing the impact of COVID-19 pandemic on the psychological health of people using fuzzy MCDM methods

IF 3.7 4区 管理学 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Shafi Ahmad , Sarfaraz Masood , Noor Zaman Khan , Irfan Anjum Badruddin , Ompal , Ali Ahmadian , Zahid A. Khan , Amil Hayat Khan
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引用次数: 7

Abstract

Recently, a large portion of the world's population has experienced an unprecedented devastating effect of the COVID-19 pandemic. At the time of its outbreak, not much was known about this disease and therefore, quarantine and social distancing were the only ways suggested to prevent its spread among humans. Although the current situation is much better than before however, strict social distancing norms as well as frequent long-lasting lockdowns with stringent guidelines and actions to control the spread in the early days have affected the physical and psychological health of the people. Consequently, this study was carried out to attain the following major objectives: (i) to identify the potential psychological problems/factors that might have been caused due to COVID-19 led social distancing and lockdowns, and (ii) to determine the ranks of the identified psychological factors to reflect their degree of criticality. The first objective was achieved by gathering information about the potential psychological factors from the experts. Data, in terms of linguistic variables, was collected from the experts and analyzed using two fuzzy-based multi-criteria decision-making (MCDM) methods i.e. Fuzzy Best Worst Method (F-BWM) and Fuzzy TOPSIS (F-TOPSIS) which led to the accomplishment of the second objective. The results of this study revealed that anxiety, stress, panic attacks, frustration, and insomnia were the top five critical psychological factors that might have affected people due to this pandemic. Consistency of the results was ensured by comparing the obtained ranks with the ranks found using the Fuzzy WSM and Fuzzy MABAC methods. In addition, the robustness of the results was ascertained by conducting the sensitivity analysis. Based on the findings of the study, the identified factors were categorized into most, average, and least critical psychological factors. This research might help the relevant authorities to understand the extent of the seriousness of the various psychological factors caused by this pandemic, so that an effective strategy may be developed for better management, control, and safety.

应用模糊MCDM方法分析新冠肺炎大流行对人群心理健康的影响
最近,世界上很大一部分人口遭受了COVID-19大流行前所未有的破坏性影响。在疫情爆发时,人们对这种疾病知之甚少,因此,隔离和保持社交距离是防止其在人类中传播的唯一方法。虽然目前的情况比以前好得多,但严格的社会距离规范和频繁的长期封锁,以及早期严格的指导方针和控制传播的行动,影响了人们的身心健康。因此,本研究旨在实现以下主要目标:(i)确定可能因COVID-19导致的社会距离和封锁而导致的潜在心理问题/因素;(ii)确定确定的心理因素的等级,以反映其严重程度。第一个目标是通过从专家那里收集有关潜在心理因素的信息来实现的。在语言变量方面,从专家那里收集数据,并使用两种基于模糊的多准则决策(MCDM)方法,即模糊最佳最差方法(F-BWM)和模糊TOPSIS (F-TOPSIS)进行分析,从而实现第二个目标。这项研究的结果显示,焦虑、压力、惊恐发作、沮丧和失眠是可能因这次大流行而影响人们的五大关键心理因素。通过将得到的秩与使用模糊WSM和模糊MABAC方法得到的秩进行比较,确保了结果的一致性。此外,通过进行敏感性分析来确定结果的稳健性。根据研究结果,确定的因素被分为最重要、一般和最不重要的心理因素。这项研究可能有助于有关当局了解由这次大流行引起的各种心理因素的严重程度,从而制定有效的战略,以更好地管理、控制和安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Operations Research Perspectives
Operations Research Perspectives Mathematics-Statistics and Probability
CiteScore
6.40
自引率
0.00%
发文量
36
审稿时长
27 days
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