ABSTRACT
Medical records were retrospectively reviewed onthe clinical, imaging, Patients with confirmed COVID-19 who were hospitalized between March 1, 2020, and April 15, 2020, were studied for clinical and laboratory features. Each patient had a thorough clinical record that included their COVID-19 medical history as well as physical and laboratory exams. Median levels of serum VCM-1 in covid-19 patients with diabetic were higher than in comparison the median levels of covid-19 patients without diabetic, 179.30 (103.24) pg/ml versus 183.75. © 2022, Mediscript Ltd. All rights reserved.
ABSTRACT
In this research, we aim to use the underused power generation method of piezoelectricity and apply it to supply energy to other low-powered quality-of-life devices that are practical and helpful. Harnessing and harvesting the energy from piezoelectric material is done by aligning small piezo elements in a rectangular shape and incorporating them into an object commonly exposed to mechanical strain change. This research is about developing a doormat that will generate energy to charge a battery and keep it charged while it supplies power to a people sensor device. This project's function is to limit the number of people existing in a store or facility to minimize and stop the spread of the COVID-19 virus. The piezoelectric doormat will reduce phase errors, voltage drops across components and evenly distributes applied mechanical pressure among the piezoelectric elements in the doormat. The efficiency of this doormat will encourage users to put it to practical use in many different fields across different locations for various purposes. It will be easy to implement with other devices and systems and will have good mobility, supplying them with sufficient power and efficiency for extended periods, and will surely help the UAE become an even safer place during the world-spread pandemic.
ABSTRACT
In recent years, the coronavirus pandemic has caused and continues to cause a large number of deaths today. Governments all over the world have taken measures to reduce the spread of the virus. Home quarantine was proven to be a successful way to control and mitigate the spread of COVID-19. The current methods of tracking home-quarantined people use tracking bracelets or mobile applications, which are still in their early development stage. In this paper, we propose a quarantine tracking system to track users during their quarantine period. The system consists of a web portal designed for the concerned authorities and the quarantined user's mobile application. The proposed application randomly prompts users to verify their quarantine by uploading their selfies. We verify the user's quarantine status through an automatic location and selfie verification. Our system provides a specific set of features that can be set by the concerned authorities, such as the frequency of prompts and the allowed response time. Violation reports can also be accessed by the concerned authorities to keep track of quarantined users' violations. Our results validate the usefulness and potential of our system as a quarantine tracking tool. It also opens the door for further development, allowing governments to handle any upcoming pandemics. © 2021 IEEE.
ABSTRACT
INTRODUCTION: To date, only corticosteroids and interleukin-6 (IL-6) inhibitors have been shown to reduce mortality of hospitalized patients with COVID-19. In this literature review, we aimed to summarize infection risk of IL inhibitors, with or without the use of corticosteroids, used to treat hospitalized patients with COVID-19. METHODS: A literature search was conducted using the following evidence-based medicine reviews: Cochrane Central Register of Controlled Trials; Cochrane Database of Systematic Reviews; Embase; Ovid Medline; and Epub Ahead of Print, In-Process, In-Data-Review & Other Non-Indexed Citations, Daily and Versions 1946 to April 28, 2021. All relevant articles were identified using the search terms COVID-19 or SARS-coronavirus-2, infections, interleukins, inpatients, adults, and i ncidence. RESULTS: We identified 36 studies of which 2 were meta-analyses, 5 were randomized controlled trials, 9 were prospective studies, and 20 were retrospective studies. When anakinra was compared with control, 2 studies reported an increased risk of infection, and 3 studies reported a similar or decreased incidence of infection. Canakinumab had a lower associated incidence of infection compared with placebo in one study. When sarilumab was compared with placebo, one study reported an increased risk of infection. Nine studies comparing tocilizumab with placebo reported decreased or no difference in infection risk (odds ratio [OR] for the studies ranged from 0.39-1.21). Fourteen studies comparing tocilizumab with placebo reported an increased risk of infection, ranging from 9.1% to 63.0% (OR for the studies ranged from 1.85-5.04). Infection most commonly presented as bacteremia. Of the 6 studies comparing tocilizumab and corticosteroid use with placebo, 4 reported a nonsignificant increase toward corticosteroids being associated with bacterial infections (OR ranged from 2.76-3.8), and 2 studies reported no increased association with a higher infection risk. CONCLUSIONS: Our literature review showed mixed results with variable significance for the association of IL-6 inhibitors with risk of infections in patients with COVID-19.
ABSTRACT
Coronavirus disease 2019 is a pandemic, was first recognized at Wuhan province, China in December 2019. The disease spread quickly across the globe, spreading stealthily from human to human through both symptomatic and asymptomatic individuals. A multisystem disease which appears to primarily spread via bio aerosols, it has exhibited a wide clinical spectrum involving multiple organ systems with the respiratory system pathology being the prime cause of morbidity and mortality. Initially unleashing a huge destructive trail at Wuhan China, Lombardy Italy and New York City, it has now spread to all parts of the globe and has actively thrived and mutated into new forms. Health care systems and Governments responded initially with panic, with containment measures giving way to mitigation strategies. The global medical and scientific community has come together and responded to this huge challenge. Professional medical societies quickly laid out "expert" guidelines which were conservative in their approach. Many drugs were re formulated and tested quickly with the help of national and international collaborative groups, helping carve out effective treatment strategies and help build a good scientific foundation for evidence-based medicine. Out of the darkness of chaos, we now have an orderly approach to manage this disease both from a public health preventive and therapeutic standpoint. With preventive measures such as masking and social distancing to the development of highly effective and potent vaccines, the public health success of such measures has been tempered by behavioral responses and resource mobilization. From a therapy standpoint, we now have drugs that were promising but now proven ineffective, and those that are effective when given early during viral pathogenesis or later when immune dysregulation has established, and the goal is to help reign in the destructive cascade. It has been a fascinating journey for mankind and our work here recapitulates the evolution of various aspects of critical care and other inpatient practices which continue to evolve.
ABSTRACT
Due to the COVID19 pandemic, contact tracing and moving object tracking are gaining more popularity in automated video surveillance systems in computer vision and video processing. The application of contact tracing and moving object tracking is critical in applying pandemic control measures and is getting more important day by day. This work proposes a computer vision-based algorithm for contact tracing using stationary surveillance cameras. The input videos are converted into a bird's eye view where all moving objects are detected, and the distances between them are calculated. The algorithm performs background subtraction to isolate foreground objects, morphological operations to remove the noise, and blob analysis to identify the connected regions in the resulting foreground video. Kalman filters to estimate objects' motion in the video calculates Euclidean distance between the objects to trace object contacts. This algorithm can be utilized in almost all public places such as shopping malls, airport terminals, and educational institutions. It allows identifying, assessing, and managing people who might have been exposed to the disease. The testing data was collected in a home environment, and the stationary camera was replaced with a mobile phone camera fixed on a tripod. The work was implemented and tested, and the results verified the feasibility and effectiveness of the proposed method. The system was able to detect the objects in the input video frame and estimate the distance between them across multiple cameras. © 2020 IEEE.