ABSTRACT
The origin of the COVID-19 pandemic has given overture to redirection, as well as innovation to many digital technologies. Even after the progression of vaccination efforts across the globe, total eradication of this pandemic is still a distant future due to the evolution of new variants. To proactively deal with the pandemic, the health care service providers and the caretaker organizations require new technologies, alongside improvements in existing related technologies, Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning in terms of infrastructure, efficiency, privacy, and security. This paper provides an overview of current theoretical and application prospects of IoT, AI, cloud computing, edge computing, deep learning techniques, blockchain technologies, social networks, robots, machines, privacy, and security techniques. In consideration of these prospects in intersection with the COVID-19 pandemic, we reviewed the technologies within the broad umbrella of AI-IoT technologies in the most concise classification scheme. In this review, we illustrated that AI-IoT technological applications and innovations have most impacted the field of healthcare. The essential AI-IoT technologies found for healthcare were fog computing in IoT, deep learning, and blockchain. Furthermore, we highlighted several aspects of these technologies and their future impact with a novel methodology of using techniques from image processing, machine learning, and differential system modeling.
ABSTRACT
Currently, prevention and control of the coronavirus disease pneumonia epidemic situation are grim globally. To cope with total sheer carriers and patients of COVID-19 requires intensive medical support and adjunctive therapies to overcome the disease. The epidemic can be controlled with the help of both, disease suppression via community health measures and adjunctive therapies for patients suffering from infection. Till date, we do not have any proper antiCOVID-19 therapy. In order to achieve the overall realization of this pandemic, there is a need to identify treatments depending upon their direct or indirect targets;like inhibition of polyprotein synthesis, transmembrane serine protease, inhibition of viral entry and endocytosis. This could be possible by turning the focus in the direction towards the development of numerous tentative drugs, particularly in the severe to badly ill. Though, majority of these off-label adjunctive medicines are being inspected in a lot of clinical trials at different stages, scientific organizations have endeavored to elucidate the situation where these adjunctive drugs might be practiced as off-label, open- label or compassionate. Our review compiles the adjunctive therapies adopted in COVID-19 infected patients according to clinical severity in conjugation with practicing recommendations from existing guidance rules issued by global professional bodies in healthcare. © 2021 Pakistan Journal of Pharmaceutical Sciences. All rights reserved.
ABSTRACT
Currently, prevention and control of the coronavirus disease pneumonia epidemic situation are grim globally. To cope with total sheer carriers and patients of COVID-19 requires intensive medical support and adjunctive therapies to overcome the disease. The epidemic can be controlled with the help of both, disease suppression via community health measures and adjunctive therapies for patients suffering from infection. Till date, we do not have any proper anti-COVID-19 therapy. In order to achieve the overall realization of this pandemic, there is a need to identify treatments depending upon their direct or indirect targets;like inhibition of polyprotein synthesis, transmembrane serine protease, inhibition of viral entry and endocytosis. This could be possible by turning the focus in the direction towards the development of numerous tentative drugs, particularly in the severe to badly ill. Though, majority of these off-label adjunctive medicines are being inspected in a lot of clinical trials at different stages, scientific organizations have endeavored to elucidate the situation where these adjunctive drugs might be practiced as off-label, open- label or compassionate. Our review compiles the adjunctive therapies adopted in COVID-19 infected patients according to clinical severity in conjugation with practicing recommendations from existing guidance rules issued by global professional bodies in healthcare.
ABSTRACT
Global disruption and innovation are revolutionising many industries and creating a digitally disruptive environment (DDE);real estate is no exception. Real estate online platforms (REOPs) are getting more attention in the era of COVID-19, where the real estate businesses must run online, and the service users are pushed to a forced digital experience adoption. The users or consumers are not satisfied or happy with the current state of REOPs and often regret their decisions due to the poor quality of the web-based information provided on these REOPs. Based on a mixed approach of integrated KANO-SISQual, the current study develops a comprehensive smart real estate technology adoption model (SRETAM) to model the users’ perception of the REOPs in DDE. Data is collected through a questionnaire survey from 407 Sydney based REOP users. A total of 31 key factors are identified by reviewing 256 articles vetted by 12 local real estate agents. The results highlight 19 factors to be very important to REOPs users: reliability, the accuracy of the information, and credibility of the online platforms are the top three important factors. The hypotheses’ results show that all the SRETAM categories contribute equally to the users’ behavioural intention to use the REOPs and the KANO categories are statistically different. For KANO categories, eight attractive features are identified: graphical statistics, familiar web technology, content structure, web design, immersive content, self-efficacy, information novelty, and presence of 3D interactive models. Displaying the users’ location, learning tutorials, and hyperlinks to external sources on the web portals dissatisfy REOP users. The factors and their classifications can help the users get more features, verified, and transparent information for making better decisions in the DDE, whereas the REOP can enjoy more business due to increased service consumers. This can lay the foundation for transforming the traditional real estate sector into smart real estate in lines with industry 4.0 requirements in the DDE. © 2021 Elsevier Ltd