Covid-19 Dashboard: Supervised learning ML model based Covid-19 prediction analysis and identifying early-stage symptoms

Following Standard Operating Procedures and being Social distanced is now the new norm for most of the people worldwide, amidst this pandemic. At this crucial time, people must be updated regarding, virus hotspots, containment zones and more associated information. The recent outbreak has taken the world by surprise, forcing lockdowns in most of the countries and affecting the public health systems. In response to the outbreak, Governments of many countries have shown interest in contact tracing applications. The main goal of developing the application is to provide all the information related to COVID-19 or any pandemic situation to the citizen of the country. The project holds plenty of relevance in today's time when people are finding solutions to protect themselves from the pandemic. Our project is an proposal to confirm the utmost safety for the citizens of our country from the deadly coronavirus disease. In quintessence, it connects the health services of the country to its citizens at this unstable time. It can assist a person to follow adequate measures to avoid infection. Application users are also able to understand if they are currently being exploited to covid-19 related symptoms. The responsiveness of the mobile platform makes it easy for the users to perform self-diagnosis and inform whether there is a need to consult a doctor. © 2021 IEEE.

Microbiological Decontamination of Air and Surfaces Due to Nanosecond Discharges

Presented observational data indicate that a significant number of infections with the SARS-CoV-2 coronavirus occur by air without direct contact with the source, in addition, in a tangibly long time interval. It is noticed that atmospheric precipitations help to cleanse the air from pollution and at the same time from viruses, reducing non-contact infections. These facts additionally actualize the problem of optimal microbiological decontamination of air and surfaces. In order to optimize microbiological sterilization, a thermodynamic approach is applied. It is shown that irreversible chemical oxidation reactions are the shortest way to achieve sterility, they being capable of providing one hundred percent reliability of decontamination. It is established that oxygen is optimal as an oxidant, including ecologically, because it and all of its reactive forms harmoniously fit into natural exchange cycles. The optimal way to obtain reactive oxygen species for disinfection is the use of low-temperature (“cold”) plasma, which provides energy-efficient generation of oxidative reactive forms - atomic oxygen (O), ozone (O3), hydroxyl radical (⋅OH), hydrogen peroxide (H2O2), superoxide (O2 −), singlet oxygen O2(a1Δg). Due to the short lifetime for most of the above forms outside the plasma applicator, remoted from the plasma generator objects should be sterilized with ozone (O3), the minimum lifetime of which is quite long (several minutes). It is substantiated that microwave method of generating oxygen plasma is optimal for energy efficient ozone production. A modular principle of generation is proposed for varying the productivity of ozone generating units over a wide range. The module is developed on the basis of an adapted serial microwave oven, in which a non-self-sustaining microwave discharge is maintained due to ionizations produced by radionuclides-emitters. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Imaging findings using a combined MRI/CT protocol to identify the "entire iceberg" in post-COVID-19 mucormycosis presenting clinically as only "the tip".

AIM: To analyse combined computed tomography (CT) and magnetic resonance imaging (MRI) characteristics of invasive rhino-orbital mucormycosis (IROM) in post-COVID-19 infection patients for accurate diagnosis and delineation of the extent of involvement. MATERIALS AND METHODS: A retrospective analysis was undertaken of 50 patients who developed IROM post-COVID-19 infection who underwent combined CT/MRI evaluation. RESULTS: The age range of the 50 affected patients was 23-73 years. Out of these, 41 were diabetic. CT/MRI showed predominant involvement of the maxillary (n=26) and ethmoid (n=19) sinuses. Extension of disease to the orbit (n=35), cavernous sinus (n=18), hard palate (n=15), skull base (n=8), and intracranial involvement (n=3) was seen. Perineural spread of the disease was analysed along all divisions of the trigeminal nerve and its branches. MRI showed T2-hypointense soft-tissue thickening with heterogeneous contrast enhancement with corresponding hyperdensities on CT diagnosing the presence of fungal elements. CONCLUSION: Clinicians should be aware of the possibility of IROM post-COVID-19 infection. Conjunctive use of CT, which depicts bone destruction and other reactive bony changes along with MRI, which reveals characteristic findings of soft-tissue thickening of the involved sinuses with extension of disease to the orbits, cavernous sinus, dura, hard palate, skull base, and intracranial structures. Accurate diagnosis and early recognition of the disease and its extension with appropriate use of these techniques helps to initiate appropriate and timely treatment, which is vital to prevent a fatal outcome.