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In this research work, for the first time, we have developed and demonstrated a COVID-19 repellent coating on cotton cloth that not only repels the virus but also most of the human body fluids (superhemophobic). The coating was tested in the BSL3 lab. The controlled experiments revealed no significant increase in the log viral particles on coated fabric compared to the uncoated surface, evidence that the coated fabric resisted the SARS-CoV-2 inoculum. Further, the coated cloth exhibited excellent dust-free nature and stain resistance against body fluids (blood, urine, bovine serum, water, and saliva aerosol). It also shows sufficient robustness for repetitive usage. The fabrication process for the developed COVID-19 repellent cloth is simple and affordable and can be easily scaled up for mass production. Such coating could be applied on various surfaces, including daily clothes, masks, medical clothes, curtains, etc. The present finding could be a mammoth step towards controlling infection spread, including COVID-19.
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Background: SARS-nCOV-2 is a variant of the known SARS coronavirus family. The mutations in viruses are very rapid and can play a crucial role in the evolution or devolution of the organism. This has a direct impact on "host jumping" and the pathogenicity of the virus. Objective(s): The study aims to understand the frequency of genomic variations that have occurred in the virus affecting the Indian sub-population. The impact of variations translating to proteins and its consequences affecting protein stability and interaction were studied. Method(s): Phylogenetic analysis of the 140 genomes from the India region was performed, followed by SNP and Indel analysis of both CDS and non-CDS regions. This effort was followed by a prediction of mutations occurring in 8 proteins of interest and the impact on protein stability and prospective drug interactions. Result(s): Genomes showed variability in origin, and major branches can be mapped to the 2002 outbreak of SARS. The mutation frequency in CDS regions showed that 241 C >T, 3037 C >T, 2836 C >T, and 6312 C >A occurred in 81.5% of genomes mapping to major genes. Corresponding mutations were mapped to protein sequences. The effect of mutations occurring in spike glycoprotein, RNA dependent RNA polymerase, nsp8, nucleocapsid and 3c protease was also depicted. Conclusion(s): Whilst the mutations in spike glycoprotein showcased an increase in protein stability, the residues undergoing mutations were also a part of drug binding pockets for hydroxychloro-quine. Mutations occurring in other proteins of interest led to a decrease in protein stability. The mutations were also a part of drug binding pockets for Favipiravir, Remdesivir and Dexametha-sone. The work allows analyzing larger datasets to understand mutation patterns globally.Copyright © 2021 Bentham Science Publishers.
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Purpose of Study:We aimed to evaluate the incidence of acute myocardial infarction (AMI) in New Orleans in the sixteen years after Hurricane Katrina. Methods Used: This was a single-center, retrospective study performed at Tulane University Health Sciences Center of patients admitted for AMI during two years prior to Hurricane Katrina and sixteen years after Hurricane Katrina. The pre-Katrina and post-Katrina cohorts were compared according to pre-specified demographic and clinical data. Summary of Results: In the sixteen-year post-Katrina period, there were 3696 admissions for AMI out of a total census of 128 276 (2.9%) compared to 150 admissions out of a census of 21 079 (0.7%) in the pre-Katrina group (p < 0.0001). The post-Katrina group had a higher prevalence of known coronary artery disease (CAD) (43.8% vs. 30.7%, p < 0.0001), diabetes mellitus (40.7% vs. 28.7%, p < 0.002), hypertension (80.1% vs. 74.0%, p < 0.05), hyperlipidemia (54.2% vs. 44.7%, p < 0.0001), smoking (54.2% vs. 39.3%, p < 0.0002), drug abuse (18.7% vs. 6.7%, p < 0.0002), and psychiatric disease (15.3% vs. 6.7%, p < 0.0004). The post-Katrina group was more often prescribed aspirin (49.6% vs. 31.3%, p < 0.0001), betablocker (46.9% vs. 34.0%, p < 0.004), ACE inhibitor or ARB (51.9% vs. 36.0%, p < 0.0004), and statin (52.6% vs. 28.0%, p < 0.0001) but with higher medication nonadherence (15.8% vs. 7.3%, p < 0.0001). The post- Katrina patients were also more likely to be unemployed (75.6% vs 22.7%, p < 0.0001) and non-married (56.3% vs. 52.7%, p < 0.0001). Rates of STEMI were lower in the post-Katrina group (29.1% vs 42.0%, p < 0.002). There was no significant difference in terms of sex, being uninsured, or prior coronary artery bypass grafting. Four patients were COVID positive in the post-Katrina cohort. Conclusion(s): There was a fourfold increase in the incidence of AMI sixteen years after Hurricane Katrina. Prevalent psychosocial, behavioral, and traditional CAD risk factors were significantly higher among the post- Katrina group. These findings will continue to add to the growing body of literature demonstrating the adverse cardiovascular outcomes that occur after a natural disaster. Despite this, further research is required to explain the underlying mechanisms to help mitigate future cardiac morbidity. This study will help enable cardiovascular clinicians to further understand the needs and dynamic changes that can occur following natural disasters. Copyright © 2023 Southern Society for Clinical Investigation.
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Objectives: Healthcare dashboards provide a visual, interactive presentation of clinical and service data that facilitates interpretation and decision-making. We present an interactive dashboard app for neurosurgical referrals that not only offers important audit insights into but can also make robust machine learning predictions regarding future surgical demand. As a test case, we evaluated referrals from the start of the Covid-19 lockdown to present. Design: Single-centre retrospective study with mixed-methods design and app feasibility testing. Subjects: 10,033 Acute referrals were made via referapatient to our neurosurgical centre between March, 2020 to October, 2021 (female=4938, mean age [SD]=61.1 years [18.8]) from 116 hospital sites. Methods: Data were anonymised then analysed in Python before transfer to Plotly Dash / Heroku. Forecasting was performed with state-of-the-art artificial intelligence methods (Prophet). User experience was tested using semi-structured interviews and scales of feasibility, acceptability and usability. Results: 96% were stated as 'emergency' or 'urgent' by the referrer and 79% of referrals were made by a junior/FY-doctor. 9.5% of referrals were accepted for immediate transfer in this time period. Weekly referral timing was concentrated at 2-6 PM on weekdays with weekend effect/reduction for certain diagnoses (p<0.0001). There was a significant increase between early and late lockdown periods, mainly driven by an increase in spinal referrals (early median-wkly-vol=34, late median-wkly-vol=44, p<0.05). Referrals were forecasted to significantly increase beyond this with low algorithmic error (mean percentage error=2-8%). 20 participants were recruited for feasibility testing: 5 consultants, 12 registrars and 3 management-staff. All user groups gave high usability, feasibility and acceptability scores. Conclusions: We showcase a big-data analytics dashboard that can audit and rapidly predict acute neurosurgical referral volume that is highly generalisable to other neurosurgical centres. This type of software is critical in enabling a dynamic, flexible surgical service.
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BACKGROUND AND RATIONALE: The government guidance regarding COVID-19 vaccination lists food allergy, drug allergy and history of anaphylaxis as contraindications for receiving vaccination. This study was planned to evaluate such patients listed in the database of an allergy center and who took any COVID-19 vaccine. METHODS: Data on n=255 patients was mined. Inclusions were those over 18 years, any allergic diathesis and receipt of at least one dose of any COVID-19 vaccine. Age, gender, nature of allergy and type of COVID vaccine taken along with outcome of interest [occurrence or otherwise of all allergic reaction post vaccination] was collated. RESULTS: Data of 227 patients were finally analysed. Eighty one took the first dose and 33 took both doses. None with food and/or drug allergy and/or a history of anaphylaxis developed any adverse event (AE) post vaccination. Three AEs were seen in those with other allergic diathesis. Two AEs [One to COVAXIN TM and one to COVISHIELD TM] were only generalized itching that were self-limiting. A female patient had itching with palmar erythema [post COVISHIELD TM] which subsided after a week's treatment with an antihistamine. She had a history of allergy to radiocontrast media containing polyethylene glycol/PEG] indicating possible allergy to polysorbate 80 [PEG related compound contained in COVISHIELD TM]. CONCLUSION: No patient fitting contraindications for COVID-19 vaccination laid down by the Indian government developed any allergic reaction post vaccination. The guidelines for vaccination may be revisited to make them more inclusive with appropriate training of the vaccination centre staff.
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Background and Rationale: The government guidance regarding COVID-19 vaccination lists food allergy, drug allergy and history of anaphylaxis as contraindications for receiving vaccination. This study was planned to evaluate such patients listed in the database of an allergy center and who took any COVID-19 vaccine. Methods: Data on n=255 patients was mined. Inclusions were those over 18 years, any allergic diathesis and receipt of at least one dose of any COVID-19 vaccine. Age, gender, nature of allergy and type of COVID vaccine taken along with outcome of interest [occurrence or otherwise of all allergic reaction post vaccination] was collated. Results: Data of 227 patients were finally analysed. Eighty one took the first dose and 33 took both doses. None with food and/or drug allergy and/or a history of anaphylaxis developed any adverse event (AE) post vaccination. Three AEs were seen in those with other allergic diathesis. Two AEs [One to COVAXIN™ and one to COVISHIELD™] were only generalized itching that were self-limiting. A female patient had itching with palmar erythema [post COVISHIELD™] which subsided after a week's treatment with an antihistamine. She had a history of allergy to radiocontrast media containing polyethylene glycol/PEG] indicating possible allergy to polysorbate 80 [PEG related compound contained in COVISHIELD™]. Conclusion: No patient fitting contraindications for COVID-19 vaccination laid down by the Indian government developed any allergic reaction post vaccination. The guidelines for vaccination may be revisited to make them more inclusive with appropriate training of the vaccination centre staff. © 2021 Journal of Association of Physicians of India. All rights reserved.
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COVID-19 (Coronavirus Disease 2019) pandemic is caused by a novel Coronavirus, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2, which has received worldwide attention and most COVID-19 patients have respiratory symptoms and develop a mild disease. In addition, co-infection of SARS-CoV-2 with other respiratory infections of bacterial, other viral and fungal origin needs to be validated. The clinical features, course and treatment of TB patients with COVID-19 are unclear and understudied. There is paucity of literature on this co-infection. Here, authors present a case report of a young diabetic Asian male patient who presented to the emergency department as COVID-19 positive with acute exacerbation of symptoms, who later developed respiratory distress and was eventually found to have a lung abscess with subsequent tubercular empyema thoracic on contrary to a severe COVID-19 pneumonia or a fungal infection, as thought of. Contrast Enhanced Computed Tomography (CECT) chest along with Cartridge-Based Nuclei Acid Amplification Test (CBNAAT) of pleural fluid pus confirmed the tubercular lesion timely to aid the diagnosis and further course of management.
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Sports data has become widely available in the recent past. With the improvement of machine learning techniques, there have been attempts to use sports data to analyze not only the outcome of individual games but also to improve insights and strategies. The outbreak of COVID-19 has interrupted sports leagues globally, giving rise to increasing questions and speculations about the outcome of this season’s leagues. What if the season was not interrupted and concluded normally? Which teams would end up winning trophies? Which players would perform the best? Which team would end their season on a high and which teams would fail to keep up with the pressure? We aim to tackle this problem and develop a solution. In this paper, we propose UCLData, which is a dataset containing detailed information of UEFA Champions League games played over the past six years. We also propose a novel autoencoder based machine learning pipeline that can come up with a story on how the rest of the season will pan out. © Springer Nature Switzerland AG 2020.
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The aim of this paper is to understand the emerging practices of work from home drawing from the works of Friedrich Engels. Situating the rising debate on work from home, particularly in the context of the COVID-19 pandemic, this article revisits some of the texts by Friedrich Engels to understand the issues of distribution, freedom, necessity and work. The idea of work from home becomes especially critical in the context of a developing country like India, with its limited access to digital infrastructure, inadequate work-space at home, and precarious work conditions. However, the digital network and devices play a pivotal role under these conditions and often offer a promise of “new freedom” and flexibility. It is not just the middle-class professionals, but several other dimensions of work and labour are implicated within the idea of work from home under sudden economic and social disruption. The new organisation of production, assisted by capitalism, forges new relations of production, and new predicaments and Engels's thoughts on freedom, work and the condition of the working class become increasingly relevant to understand these shifts, particularly in neoliberal, developing country like India under nationwide lockdown. © 2020, Unified Theory of Information Research Group. All rights reserved.