PMID- 36714449
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230412
IS  - 1436-3240 (Print)
IS  - 1436-3259 (Electronic)
IS  - 1436-3240 (Linking)
VI  - 37
IP  - 4
DP  - 2023
TI  - A decision-making framework for COVID-19 infodemic management strategies 
      evaluation in spherical fuzzy environment.
PG  - 1635-1648
LID - 10.1007/s00477-022-02355-3 [doi]
AB  - 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.
CI  - (c) 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.
FAU - Jafarzadeh Ghoushchi, Saeid
AU  - Jafarzadeh Ghoushchi S
AD  - Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran. 
      GRID: grid.444935.b. ISNI: 0000 0004 4912 3044
FAU - Bonab, Shabnam Rahnamay
AU  - Bonab SR
AD  - Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran. 
      GRID: grid.444935.b. ISNI: 0000 0004 4912 3044
FAU - Ghiaci, Ali Memarpour
AU  - Ghiaci AM
AD  - Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran. 
      GRID: grid.444935.b. ISNI: 0000 0004 4912 3044
LA  - eng
PT  - Journal Article
DEP - 20230120
PL  - Germany
TA  - Stoch Environ Res Risk Assess
JT  - Stochastic environmental research and risk assessment : research journal
JID - 101473235
PMC - PMC9857902
OTO - NOTNLM
OT  - Best-worst method
OT  - CoCoSo
OT  - Covid-19
OT  - Infodemic
OT  - Multi-criteria decision-making
OT  - Spherical fuzzy set
COIS- Conflict of interestConflicts of interest authors declare that either of them has 
      no known competing financial interests or personal relationships that could have 
      appeared to influence the work reported in this paper.
EDAT- 2023/01/31 06:00
MHDA- 2023/01/31 06:01
PMCR- 2023/01/20
CRDT- 2023/01/30 04:30
PHST- 2022/11/30 00:00 [accepted]
PHST- 2023/01/31 06:01 [medline]
PHST- 2023/01/31 06:00 [pubmed]
PHST- 2023/01/30 04:30 [entrez]
PHST- 2023/01/20 00:00 [pmc-release]
AID - 2355 [pii]
AID - 10.1007/s00477-022-02355-3 [doi]
PST - ppublish
SO  - Stoch Environ Res Risk Assess. 2023;37(4):1635-1648. doi: 
      10.1007/s00477-022-02355-3. Epub 2023 Jan 20.