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1.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:1409-1419, 2022.
Article in English | Scopus | ID: covidwho-1874752

ABSTRACT

The treatment of patients having Myasthenia gravis and COVID-19 is a new domain for scientific research wherein a standard model is yet to be firmly established due to the dynamic nature of the development of the two diseases in the patients. Based on a few reports obtained, one study involved the application of Dexamethasone and Remdesivir in a measured dosage. The main drug of interest for this study was Dexamethasone because of its innate nature of acting as an immunosuppressive agent which helps combating the cytokine storms which is known to cause severe respiratory issues in COVID-19 affected patients. This drug, however, does not tackle the root problem. To target the virus, Remdesivir is chosen. The results seen are in agreement with our observations which indicate that for the overall improvement in patient health to be seen a combination of the both these drugs along with other support systems need to be taken in order to ensure overall improvement in patient recovery.Based on the observed binding affinities, improved drugs can be made. © The Electrochemical Society

2.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:1199-1210, 2022.
Article in English | Scopus | ID: covidwho-1874751

ABSTRACT

In this study using publicly available panel data on bio-medical waste from all the Apollo-Hospitals in Chennai we try to explore the effect of COVID-19 pandemic on four categories (clinical, infectious, sharp and bottle waste) waste generation. The entire sample study is categorized into pre-lockdown (no-suspension on activities) and lockdown period (all activities were suspended) as was declared in India by the government in 2020. Using a fixed effect model technique and COVID-19 active treatment cases in the district where the hospital is located, we find significant effect of severity of COVID19 on hospital's wastes generation. Severity of COVID-19 in the districts increases the proportion of infectious waste generation but reduces the proportion of sharp and bottle waste generation to the total waste. The results indicate the huge increase in the bio-medical waste generation during the post COVID-19 era which pauses a threat to both sanitation and sustainable development goals, is a result of infectious waste and is generated from some few hospitals with specialty treatment like childcare and cancer, ignoring these features can lead to upward bias in the estimation. © The Electrochemical Society

3.
Baylor University Medical Center Proceedings ; 2022.
Article in English | Scopus | ID: covidwho-1873713

ABSTRACT

A 53-year-old man with granulomatosis with polyangiitis presented with fever and acute kidney injury with nephrotic-range proteinuria following the second dose of the mRNA COVID-19 vaccine. Renal biopsy revealed an unexpected immune complex-glomerulonephritis (IC-GN) without vasculitis. Further workup found the patient to have HIV that was unmasked following the treatment of IC-GN. This case report explores the possible relationship between COVID-19 vaccines and the immune response in the setting of chronic HIV. © Copyright © 2022 Baylor University Medical Center.

4.
International Conference on Technology Innovation in Mechanical Engineering, TIME 2021 ; : 539-550, 2022.
Article in English | Scopus | ID: covidwho-1872028

ABSTRACT

In this paper, we are developing a system to constantly monitor people if they are wearing a mask and maintain social distancing. The human detection and mask verification from the live streaming is done using an object detection algorithm mobilenet SSD. The distance between two humans is calculated using the eucleidian distance between two bounding boxes of the humans to verify if they are maintaining social distancing. If two humans are not following social distancing or even if they are not wearing any mask the bounding boxes are marked red alerting them. Thus, helps to effectively monitor social distancing norms among the general public. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

5.
Production and Operations Management ; : 20, 2022.
Article in English | Web of Science | ID: covidwho-1868688

ABSTRACT

Governments and healthcare organizations increasingly pay attention to social media for handling a disease outbreak. The institutions and organizations need information support to gain insights into the situation and act accordingly. Currently, they primarily rely on ground-level data, collecting which is a long and cumbersome process. Social media data present immense opportunities to use ground data quickly and effectively. Governments and HOs can use these data in launching rapid and speedy remedial actions. Social media data contain rich content in the form of people's reactions, calls-for-help, and feedback. However, in healthcare operations, the research on social media for providing information support is limited. Our study attempts to fill the gap mentioned above by investigating the relationship between the activity on social media and the quantum of the outbreak and further using content analytics to construct a model for segregating tweets. We use the case example of the COVID-19 outbreak. The pandemic has advantages in contributing to the generalizability of results and facilitating the model's validation through data from multiple waves. The findings show that social media activity reflects the outbreak situation on the ground. In particular, we find that negative tweets posted by people during a crisis outbreak concur with the quantum of a disease outbreak. Further, we find a positive association between this relationship and increased information sharing through retweets. Building further on this insight, we propose a model using advanced analytical methods to reduce a large amount of unstructured data into four key categories-irrelevant posts, emotional outbursts, distress alarm, and relief measures. The supply-side stakeholders (such as policy makers and humanitarian organizations) could use this information on time and optimize resources and relief packages in the right direction proactively.

6.
Indian Journal of Poultry Science ; 56(2):173-179, 2021.
Article in English | CAB Abstracts | ID: covidwho-1865636

ABSTRACT

Poultry enteritis is an important multifactorial disease. Avian coronavirus (ACV) is one of many viruses related to enteric diseases and infectious bronchitis. Aim of this study was to find out the occurrence of ACV in enteritis affected broiler, molecular detection, phylogenetic analysis of avian corona virus and to examine intestine and liver for gross and microscopic lesions. Dead poultry birds (N=604) affected with enteritis were examined for presence of ACV. Intestinal samples of four birds were pooled to make one biological sample enteric ACV as the causative agent of enteritis in commercial poultry sector in and around four major districts of Rajasthan by RT-PCR. Molecular characterization was carried out by partial gene sequencing. Liver and intestine were examined grossly during post-mortem and by histopathology. Out of 151 pooled samples tested 51 (35.10%) were found positive for ACV. Prevalence of enteric ACV was highest in Ajmer (45.94%) and lowest in Dungarpur (23.07%) districts. 0-1 weeks age chicken flocks were found more susceptible for enteric ACV with 33.80% prevalence. Comparison of ACV sequence of this study revealed nucleotide (nt) identities from 99.44% among themselves, 99.44% with ACV from abroad. The amino acid (aa) identities of ACV of this study among themselves and with abroad sequences was 47.06 to 100%. Further severe congestion in intestine and necrotic patches on liver were recorded. Histopathology showed severe villous atrophy, congestion and cystic glands in sub-mucosa in intestine and severe congestion and haemorrhages along with infiltration of inflammatory cells in liver parenchyma.

7.
9th International Conference on Computing for Sustainable Global Development, INDIACom 2022 ; : 716-721, 2022.
Article in English | Scopus | ID: covidwho-1863583

ABSTRACT

The online infodemic created a lot of misinformation about covid-19. It is uncontrollable to stop the spreading of misleading information. It has reached a peak where people cannot differentiate fake news from the real one. The rapid spreading of covid19 fake news created a havoc among people. Here in this study, we will be comparing and studying all the ML techniques of AI which can predict the fake news from the real one. And also, NLP is used for understanding the take on text sentiments. By collecting and analyzing all the data from social media i.e., Twitter, Facebook, WhatsApp, Digital news we will start mining for the hoaxes. Here we will be able to see which ML techniques of AI like SVM, random forest, decision tree, logistic regression and some more, can give more precise results, and also to what extend an NLP can predict a sentiment from the given piece of text. Altogether this article explores the potential by demonstrating how algorithms try to understand human sentiments. This provides a new perception of throughout pandemic, how people in general interacts with misinformation and information found on the internet. Out of all, SVM brought out an accuracy of 98%. © 2022 Bharati Vidyapeeth, New Delhi.

8.
Banks and Bank Systems ; 17(1):115-124, 2022.
Article in English | Scopus | ID: covidwho-1863522

ABSTRACT

The study aims to determine the impact of Capital Adequacy Ratio, Credit Losses Ratio and Efficiency Ratio on the two significant profitability ratios, namely Return on Assets (ROA) and Return on Equity (ROE), during the pandemic. Panel Data Regression is used to model the effects of Capital Adequacy, Credit Losses and Efficiency Ratio on Return on Assets and Return on Equity of Indian banks. A suitable model has been developed by analyzing the results of the Hausman test and the p-values. It has been found that Capital Adequacy Ratio (CAR) with coefficient value of –0.664, CET1 with coefficient value of 1.83 and efficiency ratio with coefficient value of 1.825 have significantly affected the return on assets as their p-values are less than 0.05. However, the accepted relationship between CAR and ROA, efficiency ratio and ROA were inverse, but their coefficients were significant. The provision for credit losses (PCL) was not affecting the ROA significantly during the pandemic and hence was not considered while framing the model. Again, the dependent variable is the return on equity, except CAR. Other ratios, i.e., CET1, efficiency ratio, and PCL ratio have unacceptable correlations and are even non-significant as their p-values are less than 0.05. © The author(s) 2022. This publication is an open access article.

9.
Antimicrobial Stewardship and Healthcare Epidemiology ; 2(1), 2022.
Article in English | Scopus | ID: covidwho-1860209

ABSTRACT

Changes in antimicrobial use during the pandemic in relation to long-term trends in utilization among different antimicrobial stewardship program models have not been fully characterized. We analyzed data from an integrated health system using joinpoint regression and found temporal fluctuations in prescribing as well as continuation of existing trends. © The Author(s), 2022.

10.
Embase; 2021.
Preprint in English | EMBASE | ID: ppcovidwho-337391

ABSTRACT

The precise molecular mechanisms behind life-threatening lung abnormalities during severe SARS-CoV-2 infections are still unclear. To address this challenge, we performed whole transcriptome sequencing of lung autopsies from 31 patients suffering from severe COVID-19 related complications and 10 uninfected controls. Using a metatranscriptome analysis of lung tissue samples we identified the existence of two distinct molecular signatures of lethal COVID-19. The dominant “classical” signature (n=23) showed upregulation of unfolded protein response, steroid biosynthesis and complement activation supported by massive metabolic reprogramming leading to characteristic lung damage. The rarer signature (n=8) potentially representing “Cytokine Release Syndrome” (CRS) showed upregulation of cytokines such IL1 and CCL19 but absence of complement activation and muted inflammation. Further, dissecting expression of individual genes within enriched pathways for patient signature suggests heterogeneity in host response to the primary infection. We found that the majority of patients cleared the SARS-CoV-2 infection, but all suffered from acute dysbiosis with characteristic enrichment of opportunistic pathogens such as Staphylococcus cohnii in “classical” patients and Pasteurella multocida in CRS patients. Our results suggest two distinct models of lung pathology in severe COVID-19 patients that can be identified through the status of the complement activation, presence of specific cytokines and characteristic microbiome. This information can be used to design personalized therapy to treat COVID-19 related complications corresponding to patient signature such as using the identified drug molecules or mitigating specific secondary infections.

11.
Lung India ; 39(SUPPL 1):S156-S157, 2022.
Article in English | EMBASE | ID: covidwho-1857845

ABSTRACT

Background: The impact of the severity of the COVID-19 on potential long-term consequences is currently not well documented. With a 6-minute walk test, we followed up on 30 patients who were COVID 19 survivors with varied CT-Severity scores. The aim was to correlate the CTSeverity score with 6 minute walk distance and percentage desaturation. Methods: Data of post COVID-19 patients who presented to our hospital from January to June 2021 were collected. Patients who had undergone a HRCT scan during their admission time were chosen and followed up with 6 minute walk test and data was analyzed. Results: In the 30 patients, whose data was analyzed, 19 were male and 11 were female. Of the 30 patients whose reports were analyzed, 15 (50%) had CT-Severity score between 6-14 (moderate). Only 10 (33.3%) patients had CT-Severity score more than 15 (severe) and of them only 3 had desaturation more than 10% on 6MWT. While only 3 patients had desaturation between 5-10%, majority of the patients (24/30) had less than 5% desaturation on 6MWT. More than half the patients (17/30;56.7%) walked more than 350 metres in 6 minutes, while 11 patients walked between 150-350 metres and only 2 patients walked less than 150 metres. Conclusion: In COVID-19 survivors, we conclude that CTSeverity has minimal effect on exercise tolerance.

12.
Lung India ; 39(SUPPL 1):S86, 2022.
Article in English | EMBASE | ID: covidwho-1857386

ABSTRACT

Background: Tuberculosis (TB) is a communicable disease that is a major cause of illness and one of the leading causes of death. Until the COVID-19 pandemic, TB was the leading cause of death from a single infectious agent, ranking above HIV. Multi drug-resistant TB remains a public health crisis. In this situation, an attempt of using the shorter course Regimen to face the MDR-TB crisis as an alternate method proves to be promising. Therapy of MDR-TB using shorter course regimen is crucial and essential to explore, as it has the potential to increase the success of MDR-TB treatment. Methods: The proposed study was a hospital based, nonrandomized and without control group observational and prospective study, in cohort of 180 DRTB patients conducted at Nodal DRTB Centre, SNMC AGRA. Results: Among 180 patients 54% were male and 46% female. Maximum number of patients 39% in 21-30 years of age group.48% patients were known to their contacts.54% patients developed resistance due to failure of previous regimen.126 patients were reported with adverse effects. Cough was the most common clinical feature.46 completed the treatment.39% patients were declared cured. Conclusion: 70% of the patients faced adverse events during the course. 1.6% patients required change in regimen.61% completed the treatment and 39% were declared cured.

13.
Lung India ; 39(SUPPL 1):S131, 2022.
Article in English | EMBASE | ID: covidwho-1857384

ABSTRACT

Background: The COVID 19 pandemic caused by the betacoronavirus SARS-CoV-2 with its virulence and contagiousness is a public health emergency. The prefferred method of diagnosis is the FDA aprroved RT-PCR testing of nasopharyngeal swabs with 65% sensitivity, with false negative rates of <5% to 40%. Clinical diagnosis should supplant when there is high suspicion with labs and imaging consistent with COVID'19 and negative RT-PCR does not rule out the disease. Here we report one such case. Case Report: 45-year-old female with nil comorbidities presented with fever and breathlessnesss since 7 days with tachypnoea (46 breaths/min), hypoxia (spo2 75% room air) and bilateral coarse crepitations on auscultation. ABG & CXR suggested severe ARDS. CT Thorax revealed CTSI 21/25.CORADS 5.Two nasopharyngeal swabs 24 hours apart tested negative for COVID'19. Lab investigations suggested deranged inflammatory markers (ferritin 910ng/mL;CRP 121.2ng/L ;D-dimer 660ng/mL). Presumed diagnosis of COVID 19 was established based on early CT findings and lab parameters consistent with COVID'19 Pneumonitis,the patient was immediately isolated and received treatment as per COVID'19 treatment protocols (steroids,LMWH,Remdesivir). After 6th week patient showed clinical and radiological improvement.Subsequently she also developed postcovid fibrosis and discharged on pirfenidone and home based low-flow o2. Discussion and Conclusion: Fever, sore throat and breathlessness are common symptoms of Covid'19, most of which are virtually present in any viral LRTI, however in the setting of current pandemic maintain high index of suspicion for Covid'19 especially in the presence of radiological evidence even with negative RT-PCR.

14.
Lung India ; 39(SUPPL 1):S18-S19, 2022.
Article in English | EMBASE | ID: covidwho-1857383

ABSTRACT

Background: Post COVID-19 pulmonary complications are the leading cause of morbidity. There is very limited information on the benefits of comprehensive rehabilitation in such patients. Methodology: A retrospective review was conducted of the patients with Post Covid-19 sequel who underwent multi-disciplinary rehabilitation program at Sakra World Hospital. Study Type and Setting: (1) Type of study design: Retrospective analysis. (2) Sample size: 48. (3) Sampling: Convenient sampling. (4) Setting: Sakra World Hospital, Bangalore, India. (5) Intended intervention: Multidisciplinary Rehabilitation. Process Flow: Results: Conclusion: Comprehensive Pulmonary Rehabilitation has shown significant improvement in the patients' ability to perform daily activities, respiratory mechanics and overall quality of life. (Figure Presented).

15.
Lung India ; 39(SUPPL 1):S156, 2022.
Article in English | EMBASE | ID: covidwho-1857131

ABSTRACT

Introduction: Spontaneous pneumothorax can be post covid complication. Case 1: A 27yr male came with complaints of sudden onset of shortness of breath since 2days.patient had history of hospitalization due to moderate covid one month back. Patient no past history of hypertension,diabetes , Tuberculosis. No history of smoking. On physical examination-absent breath sounds on right hemithorax, oxygen saturation was 86% room air . HRCT chest showing pneumothorax with pulmonary fibrotic opacities(post covid fibrosis).Chest tube was placed in 5th intercostal space ,patient improved. Case2: A 56yr male old male came with complaints of SOB -5days , Patient had history of covid -2months back and was under home quarantine. No past history of Tuberculosis, hypertension, diabetes. HRCT chest showing right pneumothorax with pulmonary fibrotic opacities. Chest tube was inserted in 5th intercostal space. And patient improved. Case 3: A28yr old male came with complaints of sudden onset SOB, chest pain -3 days . patient had history of hospitalizated for 1week for moderate covid -19 10days back.Patient had no history of smoking , tuberculosis. HRCT chest showing bilateral pneumothorax and pneumomediastinum with bilateral parenchymal fibrotic opacities. Bilateral chest tube was inserted. Conclusion: The present case demonstrates that fibroticlike lung opacities and spontaneous pneumothorax can be seen as of late complications of COVID-19. Both these complications should be kept in mind in patients with previous COVID-19 infection who present with abrupt onset of shortness of breath.

16.
European Journal of Molecular and Clinical Medicine ; 7(8):3249-3258, 2020.
Article in English | EMBASE | ID: covidwho-1849298

ABSTRACT

COVID-19 pandemic has caused havoc worldwide. India is also facing challenging circumstances as the figure of infected/positive cases is rising day by day. This study deals with the development of education: Post COVID-19. This paper will help to understand “Digital Education: Opportunities and Threats”. The Corona virus has exposed emerging vulnerabilities in learning systems all over the world. A lot of relevant literature was explored to confine the essence of continued learning during these exceptional times. Educational organizations all over the world are moving towards online/Digital learning. This paper also proposes digital education as an urgent need in this lock downs times and social distancing due to COVID-19 pandemic. It also provides a powerful stage for further research. The use of digital technology in education is experiencing a tremendous boom in education sector with cost effectiveness. Although it is unclear whether technology will plug all of the holes in the Indian Education system but it seems that technology is playing a major role in education interventions. Due to advancements in technology, accessibility of low-priced laptops/mobiles, wireless equipments, and related communications setups signs both opportunities and challenges for learning organizations and their faculty and students. Digital Education has potential that can produce knowledge workers. The government has analyzed that ICT sector has important role in education due to that many programmes such as NEOR, NMEICT, NKN, Eklavya, NPTEL, and NROER has been launched. Digital Education has bring success in the field of education but still there area number of challenges in most of Indian institutes like shortage of quality teachers, deprived quality of research, and deprived quality of training etc. Digital Education is overall very beneficial for the students of country like India.

17.
Journal of Heart and Lung Transplantation ; 41(4):S527-S527, 2022.
Article in English | Web of Science | ID: covidwho-1849264
18.
Journal of Heart and Lung Transplantation ; 41(4):S429-S430, 2022.
Article in English | Web of Science | ID: covidwho-1849149
19.
Annals of Behavioral Medicine ; 56(SUPP 1):S205-S205, 2022.
Article in English | Web of Science | ID: covidwho-1848901
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