ArticleResults in physics2021
Identification of dominant risk factor involved in spread of COVID-19 using hesitant fuzzy MCDM methodology.
Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Fuzzy APPSS: A novel method for quantifying COVID-19 impact in India under triangular spherical fuzzy environment.Scientific reports · 2024Article
- Article
- An application of BWM for risk control in reverse logistics of medical waste.Frontiers in public health · 2024Article
- The differential measure for Pythagorean fuzzy multiple criteria group decision-making.Complex & intelligent systems · 2023Article
- Adopting effective hierarchal IoMTs computing with K-efficient clustering to control and forecast COVID-19 cases.Computers & electrical engineering : an international journal · 2022Article
- Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic.Expert systems with applications · 2022Article
- Urban Determinants of COVID-19 Spread: a Comparative Study across Three Cities in New York State.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- The applications of MCDM methods in COVID-19 pandemic: A state of the art review.Applied soft computing · 2022Review
- A novel behavioral three-way decision model with application to the treatment of mild symptoms of COVID-19.Applied soft computing · 2022Article
- Rise of multiattribute decision-making in combating COVID-19: A systematic review of the state-of-the-art literature.International journal of intelligent systems · 2022Article
- Spatial differentiation and determinants of COVID-19 in Indonesia.BMC public health · 2022Article
- Assessment of occupational health and safety risks in a Turkish public hospital using a two-stage hesitant fuzzy linguistic approach.Environmental science and pollution research international · 2022Article
- Modeling the dynamics of COVID-19 using fractal-fractional operator with a case study.Results in physics · 2022Article
- Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak.SN computer science · 2022Review
- Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review.Artificial intelligence review · 2022Article
- Improved COVID-19 detection with chest x-ray images using deep learning.Multimedia tools and applications · 2022Article
- Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach.Healthcare (Basel, Switzerland) · 2021Article
- Status evaluation of provinces affected by COVID-19: A qualitative assessment using fuzzy system.Applied soft computing · 2021Article
- Analytical and qualitative investigation of COVID-19 mathematical model under fractional differential operator.Mathematical methods in the applied sciences · 2021Article
- Improving the performance of deep learning models using statistical features: The case study of COVID-19 forecasting.Mathematical methods in the applied sciences · 2021Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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.
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