ABSTRACT
More than one year since coronavirus disease 2019 was declared a deadly disease by World Health Organization, the deadly severe acute respiratory syndrome Coronavirus 2 continues to disrupt public life worldwide. Several nations have seen a two-wave design in revealed instances of COVID 19 pandemic, with a first wave of infection during early 2K20 followed by the ongoing second wave. An investigation of the predominance of COVID-19 in India from the first wave to the second wave was utilized to characterize critical contrasts, infection patterns, lethality, and therapeutic measures through extensive vaccination pan-India free of cost. The quantitative transmission brought about COVID-19, including meteorological boundaries and topographical locale information, was gathered using web search tools and available literature and substantiated by factual advanced numerical tools. Experimental information showed that the qualities of the infection impacts do change between the two-time frames. The examination between the first wave and second wave, where COVID-19 flare-ups were now turning out to be scourged, was contemplated. Contrasts in age reach and seriousness of the infection have been accounted for, albeit the relative qualities of the two waves remain to a great extent obscure. The present investigation recommends that variability in environmental temperature and moisture contents may not be the significant components influencing the COVID-19 mortality during different waves of infection. The second wave of COVID-19 is influencing a large portion of the world, and especially the middle age group person relies on the principal top. © 2022 by the authors.
ABSTRACT
Developing countries like Nepal face challenges in accessing health services due to sparse distribution in communities, difficult geographic terrain, limited transportation, poverty, and lack of health human expertise in rural areas. The COVID-19 pandemic added woes to the wound. To address this gap, the Hospital for Children, Eye, ENT, and Rehabilitation Services adopted an innovative approach to remote rural patient care using telehealth and artificial intelligence in close coordination with IT professionals and healthcare professionals. We developed a deep learning-based disease prediction model that incorporates telemedicine with AI for screening and diagnosing Eye and ENT diseases using nonspecialist health workers. Deep learning-based disease prediction models in Diabetic Retinopathy (DR) and Glaucoma added quality specialized services to telehealth. This paper presents the adoption of digital innovations and the incorporation of telehealth to tackle various diseases. To predict DR, 61,458 colorful retinal photographs from fundus photography and 1500 for Glaucoma were used. To reduce the biases, EyePACS data sets were also incorporated. Inception V3 transfer learning model was used for DR and employed DenseNet architecture for Glaucoma. An accuracy of more than 90 %in both models was achieved. Accurate specialized diagnosis, better medical care, patient monitoring, limited specialized hospital visits, and easier with shorter wait times are now possible. In the future, this successful model can be replicated nationally and in other developing countries. © 2022 IEEE.
ABSTRACT
The school education sector is one of the severely affected sectors due to the COVID-19 pandemic. In India, the education sector is one of the severely affected sectors due to this pandemic, especially the regional language schools as 83% of Indian school students study in regional language schools. The impact on the education sector may not be visible immediately, however, it will have long term repercussions on the quality of education thereby on the future workforce as well. Globally 1.1 billion children and 430 million children in India have been affected since schools have been closed due to this pandemic. Though the private sector and higher education institutes have transitioned to the online teaching mode to cater to the needs of the students, the challenges for adapting the online teaching by regional language schools are immense and mammoth. The objective of this study is to identify the needs and challenges for adapting the readiness of such schools in Maharashtra - the most economically developed state in India. The pilot study has revealed some startling results like lack of regional language content, insufficient training to online teaching tools and unavailability of IT infrastructure resources causing major issues to conduct online lectures. However, there is a need for a comprehensive survey to study the issues in the digital transformation of regional language schools. © 2022 Nova Science Publishers, Inc.
ABSTRACT
Coronavirus disease (COVID-19) has become a pandemic after its outbreak in January 2020. The majority of the countries have witnessed peak effects of the disease, and they need to learn from their past experience of dealing with and pro-actively controlling the future waves. Thus, this article aims to analyse the effect of the COVID-19 pandemic on some of the key states in India and provide analytical actionable insight for better epidemic management. In this article, we have focused on Maharashtra and tried to show how other states can also incorporate pro-active pandemic management to reduce the number of causalities in the following waves. The key objectives of this article are to provide a scenario base forecasted number of patients for Maharashtra with sufficient lead time, review the current capacity of the health infrastructure, analyse the risk of the current health infrastructure, identify the breaking point of system failure in advance, measure the gap between capacity (supply) vs demand and raise alarms and device an early warning system (EWS) pro-actively. Quantitative analysis of the statistics related to COVID-19 has been done based on their official (government) data and some of the previous research work. Prophet Model has been used to forecast and then the forecasted values are combined with the daily load in hospitals to measure the extra load on the healthcare system.
ABSTRACT
At present world is lurching under the spread of new SARS-CoV-2 infection. The treatment is still elusive despite the relentless effort by the scientists against various viral structures. Whereas the 3-Chymotrypsin-like proteases cleave polyproteins and structural proteins help in viral replication. At the same time, non-structural proteins stimulate mRNA cap methylation to evade the immune response. The present study aims to identify novel dual inhibitor compounds with potential hits simultaneously against any of these three targets, including 3C-like proteases, N-protein, and NSP16 through virtual screening, molecular docking approach, and molecular dynamics. Such dual inhibitors may provide the necessary treatment to alleviate the current pandemic. We screened 265 FDA approved infectious disease drugs against three types of Covid-19 targets, i.e., 3C-like proteinase (6w63), N-protein (6vyo), and Non-structural protein 16 (6w4h) using a computer-assisted drug repurposing approach in this study. The Schrodinger suite 2019 is employed for high throughput screening, molecular docking, and binding free energy through the Glide module. We sorted 27 drugs, out of which the best common three drugs were suggested based on their virtual statistics parameters. We found three drugs that belonged to two main categories as dual inhibitors. The Plazomicin (Aminoglycoside) and Cefiderocol (Cephalosporins) are an antibiotic group of drugs, and the Vanganciclovir is antiviral. The molecular dynamics simulation studies over 30000ps for Plazomicin against NSP16 was conducted based on their promising docking scores profile. The RMSD parameter remained stable at 2.5A for ligands for 30000ps. Thus these three compounds can be validated as a SARS-CoV-2 therapy through clinical trials.
ABSTRACT
The purpose of this study is to assess the impact, issues, and tools of online teaching-learning throughout the various higher educational bodies (colleges/Universities) across India. An online survey was conducted from 29th June to 20th July 2020. The questionnaire has closed-ended questions with multiple choice answer options for analysis using quantitative methods. During the investigation, it has been observed online teaching played a crucial role in education during the COVID-19 pandemic but lack of resources and proper training are the major issues during ICT based/Online teaching-learning. The problem in the selection of a perfect tool for teaching-learning electronically was the reason that could not make it impactful as compared to the conventional education system. This study will help government authorities, educational bodies to draft a training/advisory program for students and teachers to overcome the issues found in the study. It will help in making online education a more attractive and powerful medium for teaching-learning activities that ensure the development of young scholars, skill-set, employability. © 2020, World Academy of Research in Science and Engineering. All rights reserved.
ABSTRACT
Mung bean (Vigna radiata L.) is an important and nutritious food grain legume which plays a vital role in human nutrition due to its plentiful nutrients like proteins, dietary fibers, minerals and vitamins. Besides nutrition, presence of significant amounts of various bioactive compounds in mungbean, make this crop as a good alternative functional food. Developing countries are facing problems in securing healthy and nutritive diet to poor people. Keeping in view of the above facts, mungbean could prove to be a healthy and nutritive part of daily human diet. Mungbean can be consumed in various forms and commonly in the form of germinated seeds or sprouts. In particular mungbean is a highly beneficial recommended diet in current lockdown situation due to COVID-19 worldwide. Health status of poor people could be improved significantly especially in circumstances or places where people cannot afford fresh vegetables, fruits, dairy products and animal-based diet routinely. Present review summarizes the updates on mungbean derived bioactive compounds, their role on human health and their use as a potent medicinal food. © 2020 Plant Archives. All rights reserved.