ArticleApplied soft computing2020
A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak.
Article in Applied soft computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- The MILEPOST Framework for Integrating mHealth Into Community-Driven Interventions: Lessons Learned From a Human-Centered Design Approach in Rural Uganda.Global health, science and practice · 2026Article
- An integrated CRITIC and EDAS model using linguistic T spherical fuzzy Hamacher aggregation operators and its application to group decision making.Scientific reports · 2025Article
- An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture.Biology · 2023Review
- Evaluation of the treatment options for COVID-19 patients using generalized hesitant fuzzy- multi criteria decision making techniques.Socio-economic planning sciences · 2023Article
- A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- COVID-19 medical waste transportation risk evaluation integrating type-2 fuzzy total interpretive structural modeling and Bayesian network.Expert systems with applications · 2023Article
- A fuzzy decision support model for the evaluation and selection of healthcare projects in the framework of competition.Frontiers in public health · 2023Article
- A Multi-Criteria Decision-Making Model with Interval-Valued Intuitionistic Fuzzy Sets for Evaluating Digital Technology Strategies in COVID-19 Pandemic Under Uncertainty.Arabian journal for science and engineering · 2023Article
- A Data-Driven Paradigm for a Resilient and Sustainable Integrated Health Information Systems for Health Care Applications.Journal of multidisciplinary healthcare · 2023Article
- Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics.IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council · 2022Article
- A probabilistic linguistic opinion dynamics method based on the DeGroot model for emergency decision-making in response to COVID-19.Computers & industrial engineering · 2022Article
- The applications of MCDM methods in COVID-19 pandemic: A state of the art review.Applied soft computing · 2022Review
- Robust optimization model of anti-epidemic supply chain under technological innovation: learning from COVID-19.Annals of operations research · 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
- Pandemic coronavirus disease (Covid-19): World effects analysis and prediction using machine-learning techniques.Expert systems · 2022Article
- An analysis of international use of robots for COVID-19.Robotics and autonomous systems · 2022Article
- Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms.Journal of cleaner production · 2022Article
- An extended robust mathematical model to project the course of COVID-19 epidemic in Iran.Annals of operations research · 2022Article
- An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions.Artificial intelligence review · 2022Article
- A sustainable-resilience healthcare network for handling COVID-19 pandemic.Annals of operations research · 2022Article
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4 authors.
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Abstract
In recent years, Digital Technologies (DTs) are becoming an inseparable part of human lives. Thus, many scholars have conducted research to develop new tools and applications. Processing information, usually in the form of binary code, is the main task in DTs, which is happening through many devices, including computers, smartphones, robots, and applications. Surprisingly, the role of DTs has been highlighted in people's life due to the COVID-19 pandemic. There are several different challenges to implement and intervene in DTs during the COVID-19 outbreak; therefore, the present study extended a new fuzzy approach under Hesitant Fuzzy Set (HFS) approach using Stepwise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) method to evaluate and rank the critical challenges of DTs intervention to control the COVID-19 outbreak. In this regard, a comprehensive survey using literature and in-depth interviews have been carried out to identify the challenges under the SWOT (Strengths, Weaknesses, Opportunities, Threats) framework. Moreover, the SWARA procedure is applied to analyze and assess the challenges to DTs intervention during the COVID-19 outbreak, and the WASPAS approach is utilized to rank the DTs under hesitant fuzzy sets. Further, to demonstrate the efficacy and practicability of the developed framework, an illustrative case study has been analyzed. The results of this study found that Health Information Systems (HIS) was ranked as the first factor among other factors followed by a lack of digital knowledge, digital stratification, economic interventions, lack of reliable data, and cost inefficiency In conclusion, to confirm the steadiness and strength of the proposed framework, the obtained outputs are compared with other methods.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.