ABSTRACT
Smart Sensing has shown notable contributions in the healthcare industry and revamps immense advancement. With this, the present smart sensing applications such as the Internet of Medical Things (IoMT) applications are elongated in the COVID-19 outbreak to facilitate the victims and alleviate the extensive contamination frequency of this pathogenic virus. Although, the existing IoMT applications are utilized productively in this pandemic, but somehow, the Quality of Service (QoS) metrics are overlooked, which is the basic need of these applications followed by patients, physicians, nursing staff, etc. In this review article, we will give a comprehensive assessment of the QoS of IoMT applications used in this pandemic from 2019 to 2021 to identify their requirements and current challenges by taking into account various network components and communication metrics. To claim the contribution of this work, we explored layer-wise QoS challenges in the existing literature to identify particular requirements, and set the footprint for future research. Finally, we compared each section with the existing review articles to acknowledge the uniqueness of this work followed by the answer of a question why this survey paper is needed in the presence of current state-of-the-art review papers.
ABSTRACT
The "Severe Acute Respiratory Syndrome" (SARS), which has relation to the coronavirus-2 considered to be a major cause of the disease addressed by COVID-19. COVID-19 requires the angiotensin converting enzyme 2 (ACE-2), which is considered to be the target receptor of the host cells. The intention of this practical research study was to observe ACE I/D polymorphism association with COVID-19 and also the in-silico screening of potential phytochemicals against COVID-19. This study incorporated total of 320 blood samples; of which 160 were collected from COVID-19 patients and 160 were collected from healthy controls. DNA extraction was conducted from whole genomic blood and afterward, the banding patterns of ACE polymorphism were identified by the application of a nested polymerase chain reaction. A significant discrepancy was recorded in the frequency of insertion/deletion (ID) and homozygous deletion (DD) between controls and patients. The frequency reported for ID was just 10% and that of DD (genetic constitution) was 90%. Predictably, a 100% DD genetic constitution was shown by all the controls. The inference of this study was that the DD genotype has a greater prevalence in COVID-19 as compared to II and ID. In-silico screening of potential phytochemicals against COVID-19 is very effective in its concentrated form showing no or fewer side effects and can be used as a drug against COVID-19 spike protein blockage to inhibit the interaction between ACE-2 receptors. The highest affinity and lowest binding energy were observed by Dictaminine.
ABSTRACT
COVID-19 is a global infectious disease that can be easily spread by the contiguity of infected people. To prevent from COVID-19 and reduce its impact in sustainable smart cities, the global research communities are working relentlessly by harnessing the emerging technologies to develop the safest diagnosis, evaluation, and treatment procedures, and Internet of Things (IoT) is one of the pioneers among them. IoT can perform a pivotal role to diminish its immense contagious rate by suitable utilization in emerging healthcare IoT applications in sustainable smart cities. Therefore, the focus of this paper is to outline a survey of the emerging healthcare IoT applications practiced in the perspective of COVID-19 pandemic in terms of network architecture security, trustworthiness, authentication, and data preservation followed by identifying existing challenges to set the future research directions. The salient contributions of this work deal with the accomplishment of a detailed and comprehensive literature review of COVID-19 starting from 2019 through 2021 in the context of emerging healthcare IoT technology. In addition, we extend the correlated contributions of this work by highlighting the weak aspects of the existing emerging healthcare IoT applications, security of different network layers and secure communication environment followed by some associated requirements to address these challenges. Moreover, we also identify future research directions in sustainable smart cities for emerging healthcare IoT utilization in the context of COVID-19 with the most productive results and least network implementation costs.