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      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

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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.

          Highlights

          • The role of digital health is highlighted during the COVID-19 pandemic.

          • An extended hesitant fuzzy set is developed to solve digital health interventions adoption problems.

          • A survey study is conducted to identify the key challenges of digital health interventions during the COVID-19.

          • Used a SWOT model to evaluate the challenges of digital health using the HF-SWARA-WASPAS approach.

          • HIS was ranked as an important factor in the adoption of digital health interventions during the COVID-19 outbreak.

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          Most cited references93

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          Is Open Access

          Pandemics, tourism and global change: a rapid assessment of COVID-19

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            Psychosocial impact of COVID-19

            Background Along with its high infectivity and fatality rates, the 2019 Corona Virus Disease (COVID-19) has caused universal psychosocial impact by causing mass hysteria, economic burden and financial losses. Mass fear of COVID-19, termed as “coronaphobia”, has generated a plethora of psychiatric manifestations across the different strata of the society. So, this review has been undertaken to define psychosocial impact of COVID-19. Methods Pubmed and GoogleScholar are searched with the following key terms- “COVID-19”, “SARS-CoV2”, “Pandemic”, “Psychology”, “Psychosocial”, “Psychitry”, “marginalized”, “telemedicine”, “mental health”, “quarantine”, “infodemic”, “social media” and” “internet”. Few news paper reports related to COVID-19 and psychosocial impacts have also been added as per context. Results Disease itself multitude by forced quarantine to combat COVID-19 applied by nationwide lockdowns can produce acute panic, anxiety, obsessive behaviors, hoarding, paranoia, and depression, and post-traumatic stress disorder (PTSD) in the long run. These have been fueled by an “infodemic” spread via different platforms social media. Outbursts of racism, stigmatization, and xenophobia against particular communities are also being widely reported. Nevertheless, frontline healthcare workers are at higher-risk of contracting the disease as well as experiencing adverse psychological outcomes in form of burnout, anxiety, fear of transmitting infection, feeling of incompatibility, depression, increased substance-dependence, and PTSD. Community-based mitigation programs to combat COVID-19 will disrupt children's usual lifestyle and may cause florid mental distress. The psychosocial aspects of older people, their caregivers, psychiatric patients and marginalized communities are affected by this pandemic in different ways and need special attention. Conclusion For better dealing with these psychosocial issues of different strata of the society, psychosocial crisis prevention and intervention models should be urgently developed by the government, health care personnel and other stakeholders. Apt application of internet services, technology and social media to curb both pandemic and infodemic needs to be instigated. Psychosocial preparedness by setting up mental organizations specific for future pandemics is certainly necessary.
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              Digital technology and COVID-19

              The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.
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                Author and article information

                Contributors
                Journal
                Appl Soft Comput
                Appl Soft Comput
                Applied Soft Computing
                Elsevier B.V.
                1568-4946
                1872-9681
                7 August 2020
                7 August 2020
                : 106613
                Affiliations
                [a ]Informetrics Research Group, Ton Duc Thang University, 758307 Ho Chi Minh City, Viet Nam
                [b ]Faculty of Business Administration, Ton Duc Thang University, 758307 Ho Chi Minh City, Viet Nam
                [c ]Faculty of Economics, Management, and Accounting, Yazd University, Yazd, Iran
                [d ]Department of Mathematics, Govt. College Jaitwara, Satna (MP), India
                [e ]Department of Mathematics, National Institute of Technology, Warangal 506004, India
                Author notes
                [* ]Corresponding author at: Informetrics Research Group, Ton Duc Thang University, 758307 Ho Chi Minh City, Viet Nam. abbas.mardani@ 123456tdtu.edu.vn
                Article
                S1568-4946(20)30551-2 106613
                10.1016/j.asoc.2020.106613
                7410836
                32834799
                60e0fd87-db80-4bd1-a2bf-73c6538809f5
                © 2020 Elsevier B.V. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 20 June 2020
                : 25 July 2020
                : 3 August 2020
                Categories
                Article

                Applied computer science
                hesitant fuzzy sets,fuzzy decision making,waspas,swara,digital technologies,covid-19 pandemic,healthcare systems,mcdm

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