{"title":"基于概率犹豫模糊MCDM方法评价印度COVID-19大流行干预策略","authors":"Jeonghwan Jeon , Krishnan Suvitha , Noreen Izza Arshad , Samayan Kalaiselvan , Samayan Narayanamoorthy , Massimiliano Ferrara , Ali Ahmadian","doi":"10.1016/j.seps.2023.101711","DOIUrl":null,"url":null,"abstract":"<div><p>The unprecedented coronavirus pandemic (COVID-19) has wreaked havoc across the globe. The Covid-19 pandemic has affected all countries, including government intervention programs, thus becoming a significant threat. This study aims to develop a hybrid fuzzy multi-criteria decision-making (F-MCDM) model in a constrained ecosystem in response to specific government strategies and the effectiveness of interventions used in different countries during the COVID-19 pandemic. An empirical case study is conducted in India with five prospective criteria: “high acceptance among the populace”, “effectiveness in halting the COVID-19 epidemic”, “compatibility by any other standard”, “estimated total cost”, and “simple to implement”. Regarding the ranking of strategies, “vaccinations”, “social isolation”, and “development of an emergence” are the top three strategies. As a result, SARS-CoV-2 vaccines have reduced COVID-19-related hospitalizations in the elderly, which has reduced post-CoVID morbidity and mortality. Many countries have different recommendations for selecting possible government initiatives and implementing those decisions. India’s strategies for developing public health policies, preventing misinformation, and managing behavior and response were ranked as the top three priorities among the listed strategies. Sensitivity analysis confirmed the validity of these results. In this work, the implications of these findings are discussed in terms of a developing nation.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"89 ","pages":"Article 101711"},"PeriodicalIF":6.2000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A probabilistic hesitant fuzzy MCDM approach to evaluate India’s intervention strategies against the COVID-19 pandemic\",\"authors\":\"Jeonghwan Jeon , Krishnan Suvitha , Noreen Izza Arshad , Samayan Kalaiselvan , Samayan Narayanamoorthy , Massimiliano Ferrara , Ali Ahmadian\",\"doi\":\"10.1016/j.seps.2023.101711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The unprecedented coronavirus pandemic (COVID-19) has wreaked havoc across the globe. The Covid-19 pandemic has affected all countries, including government intervention programs, thus becoming a significant threat. This study aims to develop a hybrid fuzzy multi-criteria decision-making (F-MCDM) model in a constrained ecosystem in response to specific government strategies and the effectiveness of interventions used in different countries during the COVID-19 pandemic. An empirical case study is conducted in India with five prospective criteria: “high acceptance among the populace”, “effectiveness in halting the COVID-19 epidemic”, “compatibility by any other standard”, “estimated total cost”, and “simple to implement”. Regarding the ranking of strategies, “vaccinations”, “social isolation”, and “development of an emergence” are the top three strategies. As a result, SARS-CoV-2 vaccines have reduced COVID-19-related hospitalizations in the elderly, which has reduced post-CoVID morbidity and mortality. Many countries have different recommendations for selecting possible government initiatives and implementing those decisions. India’s strategies for developing public health policies, preventing misinformation, and managing behavior and response were ranked as the top three priorities among the listed strategies. Sensitivity analysis confirmed the validity of these results. In this work, the implications of these findings are discussed in terms of a developing nation.</p></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":\"89 \",\"pages\":\"Article 101711\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Socio-economic Planning Sciences\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038012123002239\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012123002239","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
A probabilistic hesitant fuzzy MCDM approach to evaluate India’s intervention strategies against the COVID-19 pandemic
The unprecedented coronavirus pandemic (COVID-19) has wreaked havoc across the globe. The Covid-19 pandemic has affected all countries, including government intervention programs, thus becoming a significant threat. This study aims to develop a hybrid fuzzy multi-criteria decision-making (F-MCDM) model in a constrained ecosystem in response to specific government strategies and the effectiveness of interventions used in different countries during the COVID-19 pandemic. An empirical case study is conducted in India with five prospective criteria: “high acceptance among the populace”, “effectiveness in halting the COVID-19 epidemic”, “compatibility by any other standard”, “estimated total cost”, and “simple to implement”. Regarding the ranking of strategies, “vaccinations”, “social isolation”, and “development of an emergence” are the top three strategies. As a result, SARS-CoV-2 vaccines have reduced COVID-19-related hospitalizations in the elderly, which has reduced post-CoVID morbidity and mortality. Many countries have different recommendations for selecting possible government initiatives and implementing those decisions. India’s strategies for developing public health policies, preventing misinformation, and managing behavior and response were ranked as the top three priorities among the listed strategies. Sensitivity analysis confirmed the validity of these results. In this work, the implications of these findings are discussed in terms of a developing nation.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.