PMID- 33520630
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231110
IS  - 2211-3797 (Electronic)
IS  - 2211-3797 (Linking)
VI  - 21
DP  - 2021 Feb
TI  - Identification of dominant risk factor involved in spread of COVID-19 using 
      hesitant fuzzy MCDM methodology.
PG  - 103811
LID - 10.1016/j.rinp.2020.103811 [doi]
AB  - The outburst of the pandemic Coronavirus disease since December 2019, has 
      severely impacted the health and economy worldwide. The epidemic is spreading 
      fast through various means, as the virus is very infectious. Medical science is 
      exploring a vaccine, only symptomatic treatment is possible at the moment. To 
      contain the virus, it is required to categorize the risk factors and rank those 
      in terms of contagion. This study aims to evaluate risk factors involved in the 
      spread of COVID-19 and to rank them. In this work, we applied the methodology 
      namely, Fuzzy Analytic Hierarchy Process (FAHP) to find out the weights and 
      finally Hesitant Fuzzy Sets (HFS) with Technique for Order Preference by 
      Similarity to Ideal Solution (TOPSIS) is applied to identify the major risk 
      factor. The results showed that "long duration of contact with the infected 
      person" the most significant risk factor, followed by "spread through hospitals 
      and clinic" and "verbal spread". We showed the appliance of the Multi Criteria 
      Decision Making (MCDM) tools in evaluation of the most significant risk factor. 
      Moreover, we conducted sensitivity analysis.
CI  - (c) 2021 The Author(s).
FAU - Ghorui, Neha
AU  - Ghorui N
AD  - Department of Mathematics, Prasanta Chandra Mahalanobis Mahavidyalaya, Kolkata, 
      West Bengal, India.
FAU - Ghosh, Arijit
AU  - Ghosh A
AD  - Department of Mathematics, St. Xavier's College (Autonomous), Kolkata, West 
      Bengal, India.
FAU - Mondal, Sankar Prasad
AU  - Mondal SP
AD  - Department of Applied Science, Maulana Abul Kalam Azad University of Technology, 
      West Bengal, Haringhata, India.
FAU - Bajuri, Mohd Yazid
AU  - Bajuri MY
AD  - Department of Orthopaedics and Traumatology, Faculty of Medicine, Universiti 
      Kebangsaan Malaysia (UKM), Kuala Lumpur, Malaysia.
FAU - Ahmadian, Ali
AU  - Ahmadian A
AD  - Institute of IR 4.0, The National University of Malaysia, 43600 UKM, Bangi, 
      Selangor, Malaysia.
FAU - Salahshour, Soheil
AU  - Salahshour S
AD  - Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, 
      Turkey.
FAU - Ferrara, Massimiliano
AU  - Ferrara M
AD  - ICRIOS - The Invernizzi Centre for Research in Innovation, Organization, Strategy 
      and Entrepreneurship Bocconi University - Department of Management and Technology 
      Via Sarfatti, 25 20136 Milano, MI, Italy.
LA  - eng
PT  - Journal Article
DEP - 20210107
PL  - Netherlands
TA  - Results Phys
JT  - Results in physics
JID - 101731363
PMC - PMC7833077
OTO - NOTNLM
OT  - COVID-19
OT  - FAHP
OT  - Hesitant Fuzzy Sets (HFS)-TOPSIS
OT  - Infectious
OT  - Multi Criteria Decision Making (MCDM)
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2021/02/02 06:00
MHDA- 2021/02/02 06:01
PMCR- 2021/01/07
CRDT- 2021/02/01 05:59
PHST- 2020/08/19 00:00 [received]
PHST- 2020/12/25 00:00 [revised]
PHST- 2020/12/30 00:00 [accepted]
PHST- 2021/02/01 05:59 [entrez]
PHST- 2021/02/02 06:00 [pubmed]
PHST- 2021/02/02 06:01 [medline]
PHST- 2021/01/07 00:00 [pmc-release]
AID - S2211-3797(20)32214-2 [pii]
AID - 103811 [pii]
AID - 10.1016/j.rinp.2020.103811 [doi]
PST - ppublish
SO  - Results Phys. 2021 Feb;21:103811. doi: 10.1016/j.rinp.2020.103811. Epub 2021 Jan 
      7.