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A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment

100 years after the Spanish flu, the COVID-19 crisis showed that large-scale epidemics and pandemics do not belong to the past. On the report of the World Health Organization, COVID-19 is the most significant public health problem of the twenty-first century. Like previous epidemics, the current cri...

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Autores principales: Jafarzadeh Ghoushchi, Saeid, Bonab, Shabnam Rahnamay, Ghiaci, Ali Memarpour
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857902/
https://www.ncbi.nlm.nih.gov/pubmed/36714449
http://dx.doi.org/10.1007/s00477-022-02355-3
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author Jafarzadeh Ghoushchi, Saeid
Bonab, Shabnam Rahnamay
Ghiaci, Ali Memarpour
author_facet Jafarzadeh Ghoushchi, Saeid
Bonab, Shabnam Rahnamay
Ghiaci, Ali Memarpour
author_sort Jafarzadeh Ghoushchi, Saeid
collection PubMed
description 100 years after the Spanish flu, the COVID-19 crisis showed that large-scale epidemics and pandemics do not belong to the past. On the report of the World Health Organization, COVID-19 is the most significant public health problem of the twenty-first century. Like previous epidemics, the current crisis is accompanied by uncertainty, mistrust, doubt and fear, and this has led to an infodemic connection to the epidemic. So not only are we fighting an epidemic, but also, we are brawling an infodemic. To reduce the social and economic consequences and harmful effects of infodemic health, and to overcome it, we need to implement strategies against infodemic. Evaluating strategies based on multiple characteristics can be considered multi-criteria decision-making (MCDM) problem. According to the literature, there is no study that aims on proposing an integrated approach to evaluate infodemic management strategies under uncertain environment. Therefore, in this paper, an integrated framework based on the extended version of best–worst method (BWM) and Combined Compromise Solution (CoCoSo) methods under a spherical fuzzy set (SFS) is developed for the first time to address the COVID-19 infodemic management strategies selection. Initially, the criteria are weighted using the developed SFS BWM which reduces uncertainty in pairwise comparisons. In the next step, the 15 selected strategies are analyzed and ranked using SFS CoCoSo. The outputs of this paper illustrate that online tools for fact checking COVID-19 information and engage and empower communities are placed in the first and second priorities, respectively. The comparison of ranking results SFS-CoCoSo with other MCDM methods demonstrates the performance of the proposed approach and its ranking stability.
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spelling pubmed-98579022023-01-23 A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment Jafarzadeh Ghoushchi, Saeid Bonab, Shabnam Rahnamay Ghiaci, Ali Memarpour Stoch Environ Res Risk Assess Original Paper 100 years after the Spanish flu, the COVID-19 crisis showed that large-scale epidemics and pandemics do not belong to the past. On the report of the World Health Organization, COVID-19 is the most significant public health problem of the twenty-first century. Like previous epidemics, the current crisis is accompanied by uncertainty, mistrust, doubt and fear, and this has led to an infodemic connection to the epidemic. So not only are we fighting an epidemic, but also, we are brawling an infodemic. To reduce the social and economic consequences and harmful effects of infodemic health, and to overcome it, we need to implement strategies against infodemic. Evaluating strategies based on multiple characteristics can be considered multi-criteria decision-making (MCDM) problem. According to the literature, there is no study that aims on proposing an integrated approach to evaluate infodemic management strategies under uncertain environment. Therefore, in this paper, an integrated framework based on the extended version of best–worst method (BWM) and Combined Compromise Solution (CoCoSo) methods under a spherical fuzzy set (SFS) is developed for the first time to address the COVID-19 infodemic management strategies selection. Initially, the criteria are weighted using the developed SFS BWM which reduces uncertainty in pairwise comparisons. In the next step, the 15 selected strategies are analyzed and ranked using SFS CoCoSo. The outputs of this paper illustrate that online tools for fact checking COVID-19 information and engage and empower communities are placed in the first and second priorities, respectively. The comparison of ranking results SFS-CoCoSo with other MCDM methods demonstrates the performance of the proposed approach and its ranking stability. Springer Berlin Heidelberg 2023-01-20 2023 /pmc/articles/PMC9857902/ /pubmed/36714449 http://dx.doi.org/10.1007/s00477-022-02355-3 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Jafarzadeh Ghoushchi, Saeid
Bonab, Shabnam Rahnamay
Ghiaci, Ali Memarpour
A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment
title A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment
title_full A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment
title_fullStr A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment
title_full_unstemmed A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment
title_short A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment
title_sort decision-making framework for covid-19 infodemic management strategies evaluation in spherical fuzzy environment
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857902/
https://www.ncbi.nlm.nih.gov/pubmed/36714449
http://dx.doi.org/10.1007/s00477-022-02355-3
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