Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 35
Filter
1.
Indian Journal of Traditional Knowledge ; 21(3):475-488, 2022.
Article in English | Scopus | ID: covidwho-1970285

ABSTRACT

We report a telemedicine-based case-series of 30 mild/moderate (classification based on guidelines by Ministry of Health and Family Welfare, Government of India) COVID-19 patients, treated using Integrative Therapy based on Ayurveda, Yoga and Modern Western Medicine, i.e., MWM (allopathy). Cases were high-risk owing to comorbidities like Diabetes Mellitus, Hypertension, Coronary Artery Disease, Ulcerative colitis, Chronic Kidney Disease and/or age above 60. The cases have been categorized into YAS (Yoga-Ayurveda based treatment, with possibly allopathic Supplements: 4 patients), YASP (Yoga-Ayurveda based treatment, with possibly allopathic Supplements and Paracetamol: 6 patients), YAM (Yoga-Ayurveda based treatment, and MWM as adjunct: 6 patients), MYA (first tried MWM, later switched to Yoga-Ayurveda: 14 patients). Based on each patient’s symptoms and co-morbidities, a personalized treatment plan including Ayurvedic medicines, Yoga protocol, dietary recommendations and lifestyle modifications was prescribed by a registered Ayurveda doctor and a Yoga consultant. More than half of symptomatic patients started improving within 5 days (90% within 9 days);more than 60% reported at least 90% recovery within 10 days. Six patients with oxygen saturation (SpO2) below 95%, benefited through Makarasana and Shithilasana;none progressed to composite endpoints (consisting of admission to Intensive Care Unit, invasive ventilation or death). Considering that approximately 19.3% of the patients with these comorbidities progress to composite end points, the p-value is 7.21 x 10−3. The Integrative Therapy, incorporating Yoga and Ayurveda with MWM, may offer an economical, scalable treatment option for COVID-19 by reducing burden on healthcare facilities and preventing risk-exposure of healthcare workers. © 2022, National Institute of Science Communication and Information Resources. All rights reserved.

2.
Journal of SAFOG ; 14(3):248-252, 2022.
Article in English | EMBASE | ID: covidwho-1969635

ABSTRACT

Background: Pieces of clinical evidence suggest that coronavirus disease-2019 (COVID-19) viral infection results in hormonal imbalance leading to changes in menstrual cycles of women. This study has been conducted with the aim to determine the effect of COVID-19 infection and its vaccine on menstrual cycle patterns. Materials and methods: This was a cross-sectional study to observe any changes in menstrual cycle after COVID-19 infection or after its vaccination. A Web Link collector generated the survey‘s universal resource locator (URL) and was sent via social media messages to females in the general population as well as healthcare workers. Results: Menstrual cycles remained unaltered in 154/228 (67.5%) of women post-COVID-19 infection irrespective of its severity. Out of 228, one-third of women, i.e., 74/228 (33%), reported changes in their menstrual patterns, with respect to either cycle length, duration of flow, number of pads used, pain during menses, or premenstrual symptoms (PMSs). Menstrual blood loss was decreased by 14% (32/228) and 18%;42 women complained of increased flow during menses. Twenty percent of women who had severe infections had menorrhagia. Out of the 590 women who completed the questionnaire, 436 (73.8%) were vaccinated against COVID-19 and 154 (26%) were unvaccinated. After vaccination, 290/436 around one-third of women (66.5%) had normal menstrual cycle, 21 women (4.8%) had decreased menstrual blood flow, and 18 women (4.1%) reported increased menstrual flow. Conclusion: COVID-19 infection affected the menstrual cycle of only one-third of women and this effect was temporary. This effect might be due to stress and anxiety affecting the hypothalamic-pituitary axis (HPA). More studies are needed to support this effect.

3.
Gastroenterology ; 162(7):S-666-S-667, 2022.
Article in English | EMBASE | ID: covidwho-1967356

ABSTRACT

Introduction: In response to the coronavirus disease 2019 (COVID-19) pandemic, hospitals nationwide opted to temporarily replace traditional in-person visits with telehealth visits. Unfortunately, due to socio-economic disparities, some groups may be at a disadvantage as a result of these changes. This observational study aimed to determine the temporal trends in demographic, socio-economic, and educational factors contributing to the disparities in access to health care during and after the lockdown. Methods: Due to the COVID-19 pandemic, a state of emergency was declared in Ohio between March 9th, 2020 and June 18th, 2020. The study cohort consisted of patients receiving outpatient care in the Cleveland Clinic Gastroenterology department during this period. To assess disparities, this group was compared to patients receiving care during the corresponding time periods in 2019 and 2021. The following variables were collected and compared between the three groups: demographics, substance abuse, education status, household income, insurance data, employment status, and type of visit (in person, virtual, or telephone). Chi-square test was used to compare categorical variables and student's t-test for continuous variables. A p value of <0.05 was considered statistically significant. SPSS software was used. Results: There were a total of 66,796 visits scheduled during the three study periods of which 19,764 patients had multiple visits. Only the first visit was considered for study purposes, thus yielding 47,032 visits. The mean age was 56.3 ± 17.6 years of which 36.9% were ³ 65 years. The cohort was predominantly female (61.9%), white (76.4%), and had private insurance (61.7%). The characteristics of patients seen in 2019, 2020, and 2021 are presented in table 1. Patients age ≥65 years, whites, those with Medicare insurance, non-English speakers and retired individuals sought healthcare less frequently during and after the pandemic. Women utilized healthcare more often than men before, during, and after the pandemic. There were also variations depending upon education level and median house hold income (table 1). The number of in-person visits rapidly declined during the pandemic, yet have not returned to pre-pandemic levels in 2021. The number of no shows/cancelled visits and tobacco, alcohol, and illicit drug use have steadily increased during and after the pandemic. Conclusion: There was reduced utilization of healthcare services during the COVID-19 pandemic among elderly, non-English speaking, retired, and less educated individuals;these negative effects persisted for elderly and non-English speaking individuals even after the lockdown was lifted. The continued increase in no show/cancellation rates and substance abuse is an alarming trend. Therefore, efforts should be targeted on improving healthcare access for these vulnerable groups.

4.
Gastroenterology ; 162(7):S-472-S-473, 2022.
Article in English | EMBASE | ID: covidwho-1967311

ABSTRACT

Introduction: With the emergence of the COVID-19 pandemic, there was a dramatic increase in telehealth services in lieu of traditional in-person clinic visits throughout hospitals in the United States. Several factors such as patient demographics, socioeconomic factors, and access to internet/smart phones can impact the utilization of telehealth services. Therefore, we aimed to determine the influence of COVID-19 and social determinants of health on utilization of telehealth services. Methods: In response to the COVID-19 pandemic, a state of emergency was declared in Ohio on March 9th, 2020 and lifted on June 18th, 2020. The study population consisted of patients receiving outpatient care in the Cleveland Clinic Gastroenterology department during this lock-down period and representative samples from corresponding periods in 2019 before COVID-19 and in 2021 after the flattening of the COVID-19 surge. Telehealth visits were defined as those that involved real-time face-to-face video conferencing. All in-person visits and telephone only visits were classified as “other visits.” The following variables were collected and compared between the two groups: demographic data, substance abuse, insurance data and employment status. Education level and median household income were obtained from zipcode. Univariate and multivariable logistic regression analyses were performed to determine factors associated with utilization of telehealth visits. Results: During the COVID-19 lockdown in 2020, 11,999 patient visits were completed with 16,600 and 14,664 visits during respective time periods in 2019 and 2021, leading to a total of 43,263 visits. During the 2019, 2020, and 2021 study periods, the number of in-person visits were 16,577 (99.9%), 3,213 (26.8%) and 11,197 (76.4%) respectively;the number of virtual visits were 2 (0.01%), 2,743 (22.9%), 2,607 (17.8%);and the number of telephone visits were 21 (0.1%), 6,043 (50.4%) and 860 (5.9%). Telehealth visits were less frequently utilized in the following groups: older age, non-white race, Medicaid or other public insurance, higher education level, lower median household income, employed or retired status, and non-English-speaking status (Table 1). On multivariate analysis (Table 2), reduced utilization of telehealth was noted in older patients, those of the black or Hispanic race, higher education levels, those with Medicaid or other public insurance, unemployed individuals, and non-English/Spanish speakers. Conclusion: In spite of a dramatic increase in telehealth services during the COVID-19 pandemic, reduced utilization is observed in certain segments of population who might have additional barriers to health care. Further research is needed to study and determine the measures needed to overcome these barriers and optimize access to telehealth services as they continue to be utilized even after the pandemic.(Table Presented) Table 1: Univariate Analysis (Table Presented) Table 2: Multivariate Analysis

5.
International Journal of Technology Enhanced Learning ; 14(3):243-263, 2022.
Article in English | Web of Science | ID: covidwho-1928312

ABSTRACT

The overall evaluation of any system requires an evaluation of all the components of that system. Administration, teachers, students, infrastructure, online platforms and pedagogy are the components of the online education system. The existing studies lack consideration of all such components of online education and specifically from teachers' perspectives. An instrument considering all components of the online education system was developed. A total of 1390 responses from teachers of Higher Education Institutions (HEIs) of India were received through online surveys. The instrument is reliable with RMSEA (0.056), chi(2) (3.819) and stands at higher than 0.90 goodness-of-fit on various indices. Hypotheses were tested on 32 variables and 903 valid responses using Structural Equation Modelling (SEM) and Multiple Regression Analysis. The analysis established that the factors, i.e., 'teacher's commitment' and 'benefit to teachers', are significantly correlated. Administrative support has a positive impact on 'benefit to teachers'. The factors 'students' sustainable engagement', 'benefit to teachers' and 'technical resources' have a significant and positive influence on the overall rating of online education. The findings will also provide an opportunity to convince, motivate, and inspire the students and the teachers to adopt an online education in the post-COVID usual scenario.

6.
Information and Learning Sciences ; : 26, 2022.
Article in English | Web of Science | ID: covidwho-1868476

ABSTRACT

Purpose - This study aimed to understand adolescents experiences, negative feelings and coping mechanisms associated with the major disruption caused by the COVID-19 pandemic. The purpose of this study was to develop a baseline for understanding adolescents and their environment to assist future developments of technological and other solutions to mitigate adolescents' loneliness, improve their wellbeing and strengthen their resilience. Design/methodology/approach - The data about adolescents' experiences during the COVID-19 pandemic was collected through virtual interviews conducted via Zoom. A total of 39 adolescents (aged 12 through 18 years) primarily from the North East of the USA participated in the study. The transcripts of the interviews were analyzed using thematic analysis. Findings -This study found evidence of negative disruptions to adolescents' social, learning and emotional routines. This study also found that in dealing with the effects of COVID-19 disruption, most of the participants exhibited five key attributes of individual resilience, including social competence, problem-solving, critical consciousness, autonomy and a sense of purpose. External factors supporting resilience were also mentioned, including technology resources, family, school and broader community. Originality/value - This study relied on fast-hand adolescents' reports of their experiences, feelings and coping strategies during the pandemic. This study applied a resilience framework to interpret the findings and translate them into recommendations for further development of support systems for adolescents.

7.
Lung India ; 39(SUPPL 1):S33, 2022.
Article in English | EMBASE | ID: covidwho-1857682

ABSTRACT

Background: Defaults in serious diseases like lung cancer cause significant morbidity and mortality. Thus an effort was made to know the impact of COVID-19 pandemic on the follow up of lung cancer patients. Reasons once identified may help in reducing the default rate in future during similar conditions. Methods: 115 patients of carcinoma lung on chemotherapy were enrolled and followed up till the end of the study during COVID-19 pandemic. Defaults if any was studied and analysed by questionnaire method. Results: Mean age was 54.63 (SD-12.11) majority of the patients were males 91 (79.1%), mainly from rural background (75.7%). The major histological type was adenocarcinoma 65 (56.5%). 70 (60.9%) patients were exsmokers and 45 (39.1%) were non smokers. Mean distance from home to hospital was 156.42 (SD-147.56). All the patients were of advanced cancer;i.e. stage III or IV. 68 (59.13%) patients defaulted during the study period. 77 defaults were documented, 60 patients (88.24%) defaulted once, 7 patients (10.29 %) were defaulted twice and 1 defaulted (1.47 %) thrice. Lock down in 22 (32.35%), poor health in 13 (16.88%) and fear of covid in 12 (15.58%) were the most frequent reasons. No correlation was found between ages, gender, residence, distance from home to hospital, patient education, care taker education, socio economic status, ECOG status, stage of the disease, type of chemotherapy (conventional or oral TKI) with the default rate. Conclusion: Even though the OPD and indoor services never stopped for cancer patients, still major cause of default in were covid related problems, like lock down, fear of covid, transport related problems during COVID-19 pandemic.

8.
Lung India ; 39(SUPPL 1):S136-S137, 2022.
Article in English | EMBASE | ID: covidwho-1857457

ABSTRACT

Background: Mucormycosis is an invasive-fungal infection, often associated with extremely severe complications in immuno-compromised patients. The prevalence of mucormycosis in India is about 80 times higher than other developed countries. But the clinical presentation of pulmonary mucormycosis has wide diversity. Case Study: We are reporting a case of a 45-year-old man admitted to our side as a case of post-COVID sequelae in the setting of a new left sided loculated pyo-pneumothorax. He is a known case of type 2 diabetes and hypothyroidism for 1.5 years and 3 years respectively. Prior to our rescue, he underwent pigtail insertion in the loculated collection, but there was no output. So, the drain was removed and the patient was planned for pneumonectomy. On visiting to our side, appropriate investigation and interventions were done. On bronchoscopy a large fungating fragile blackish growth was seen coming out from left main bronchus. Histopathological report of the endobronchial biopsy revealed mucormycosis. The patient was planned for Liposomal Amphotericin-B (LAMB) but unfortunately developed anaphylaxis. He was managed accordingly and was taken on oral Posaconazole therapy. On follow up visit remarkable clinical and radiological improvement was noted. Discussion: The above-mentioned case showed the management of a not so mimicking case of usual pulmonary mucormycosis without opting for surgical intervention. Thus, limiting the patient from the postsurgical complications. Conclusion: This case illustrates the heterogeneousness of mucormycosis, regardless of patient profile. Bronchoscopic findings and mycology report helped us to rule out other differential diagnosis.

9.
Lung India ; 39(SUPPL 1):S137, 2022.
Article in English | EMBASE | ID: covidwho-1857381

ABSTRACT

Background: COVID-19 pandemic has affected majorly the lungs besides many other organs. Many of the patients later developed pulmonary-fibrosis. This study was planned to know the determinants resulting in pulmonary-fibrosis in post COVID survivors. Methods: Hospital-based, cross-sectional study done over a period of one year. A pre-designed proforma used to collect necessary information and follow-up HRCT and other investigations were evaluated. Results: Out of 87 patients 41.3% (n=36) developed pulmonary fibrosis among which majority i.e., 66.6% (n=24) were males. Out of 87 patient 49.42% (n=43) belonged to the age group of 51-70 years among which 48.83% (n=21) developed fibrosis. Infection was more common in urban 63.2% (n=55), middle-class family 55.17% (n=48), non-smoker 65.51% (n=57), homemaker and office worker 49.4% (n=43). Out of 87 patients 57.47% (n=50) had different comorbidities out of which 52% (n=26) developed pulmonary fibrosis. The proportion of fibrosis among diabetic patients was 67.7% (n=21, p=0.036). A total of 27 patients were treated in ICU, out of which 66.67% (n=18) developed pulmonary fibrosis. About 57.14% (n=28) of the patient with leucocytosis developed pulmonary fibrosis. Pulmonary fibrosis developed more in which steroid are not used 9/19, 47% (n=9) compared to those where was steroid used 27/68, 39.7% (n=27). Majority of the patient i.e.,>90% fibrotic patient had raised inflammatory marker. Higher CT severity score and consolidation are predictive for post covid fibrosis Conclusion: Post-COVID-19 pulmonary-fibrosis was observed in about half of the survivors. This study emphasized the relation of pulmonary-fibrosis with many factors like age, comorbidities, ICU-admission, steroid usage, inflammatory-markers and secondary-infections.

11.
Journal of SAFOG ; 14(1):35-40, 2022.
Article in English | EMBASE | ID: covidwho-1822541

ABSTRACT

Importance: Given the high mortality and cost of health care, especially in isolation settings, the idea of using nebulized hydrogen peroxide may play a very significant role in inactivation of coronavirus, thus reducing the infectivity period leading to reduced requirement of isolation and improving morbidity and mortality in people suffering with coronavirus disease-2019 (COVID-2019). Aim and objective: Objective of this study was to determine the efficiency of nebulized hydrogen peroxide (H2O2) in reducing the viral load and disease severity of patients suffering with COVID-19. Design: Double-blinded randomized control trial. HOPE in COVID-19 study. Setting: Tertiary care COVID hospital (single center). Participants: Moderate sick COVID-19-positive patients were included in the study after they qualified the inclusion criteria. Intervention: Patients were nebulized using 1 mL of ozonized 3% H2O2 after diluting with 4 mL of normal saline three times a day for 5 days. The control group was nebulized with normal saline only. Main outcome: Outcome was assessed for reduction in oxygen requirement (number of days on oxygen), symptoms resolution (dyspnea, cough, and fever), and number of days it took to be RT-PCR negative for COVID-19. Results: The early data from trial showed promising trends toward a better outcome. The study showed that in the case group who were nebulized with hydrogen peroxide resulted in better outcome in terms of parameters assessed in the study and the differences from the control group were statistically significant (p ≤0.001, CI 95%). Outcome in the form of mortality (odds ratio 0.29, 95% CI 0.02–3.14, p = 0.31, z = 1.007) was statistically insignificant. The number needed to treat for our study was 10.

12.
Journal of Clinical and Diagnostic Research ; 16(3):LC26-LC32, 2022.
Article in English | EMBASE | ID: covidwho-1780260

ABSTRACT

Introduction: Coronavirus Disease 2019 (COVID-19) appropriate behaviour and vaccination are two critical defenses in the fight against this pandemic. As these need to be followed religiously, this preventive behaviour should be thoroughly investigated. Aim: To examine the COVID-19 vaccine behaviour amongst people attending tertiary care centre at Patiala, Punjab, India. Materials and Methods: A cross-sectional study was conducted on 200 individuals attending the Outpatient Department of Government Medical College at Patiala, Punjab, India, from 15th July to 22nd July 2021. Individuals were administered socio-demographic questionnaire, General Health Questionnaire-12Hindi version (GHQ-12), and COVID-19 vaccine related and COVID-19 appropriate behavior related questionnaire. Actual observation by the clinician regarding proper use of face masks, hand hygiene and social distancing was done and objectively scored on 0-10 for each item with a scale interval of 2. Analysis was conducted using IBM Statistical Package for the Social Sciences (SPSS) version 22.0. Results: Only 40% individuals were vaccinated. After eligibility, there was a mean delay of 4.20±3.51 weeks (median: 4 weeks) and 13.40±3.33 weeks (median: 12 weeks) in the vaccinated and unvaccinated individuals. Out of 120, 86 unvaccinated participants planned to get vaccinated in future. Significantly lower scores were obtained for actually observed COVID-19 appropriate behaviour (proper mask usage, hand hygiene and social distancing) as noted by the clinician vs the scores as reported by the participants. Conclusion: There were few takers for the COVID-19 vaccine, even weeks after eligibility. The COVID-19 appropriate behaviour was largely not being followed properly and the false sense of following the same complicated issues further. With multiple waves of the pandemic one after the other, and booster doses of vaccination, there is still an urgent need to sensitise the population at the grass root level regarding the COVID-19 vaccine behaviour to fight this pandemic.

13.
Journal of Pharmaceutical Sciences and Research ; 13(12):661-665, 2021.
Article in English | EMBASE | ID: covidwho-1766679

ABSTRACT

Calling Covid-19 a viral disease would be an understatement. The worldwide impact this pandemic has caused in every sphere of human life is remarkable and so is the pace at which treatment modalities and immunisation agents were formulised for it. More so, the severe complications of this disease can be devastating and fatal, therefore a number of pharmaceutical agents have been studied that have shown response in the critically ill. This article throws light upon how melatonin can be a safe and effective adjuvant pharmaceutical agent against Covid-19. Melatonin is one of the hormones that controls the bodily clock, which in turn has a crucial role to play in the pathogenesis of Covid-19. Yoga asanas can also aid in suppressing the aggravated immune response and inflammatory process in this disease. Anxiety due to the disease itself and other social factors related to it, is another reason for disturbed sleep and hence poor immune response in alleviating the effects of Covid-19.

14.
3rd IEEE Bombay Section Signature Conference, IBSSC 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1714002

ABSTRACT

With the spread of the COVID-19 over the globe, it has conducted a large amount of misinformation and fake news on social networking sites. In this situation, when true and accurate information is necessary for public safety and health, fake news related to COVID-19 has spread rapidly, even quicker than the truth. Rational confusion can be caused by this fake news and put people's lives in danger during times like the COVID-19 pandemic. We used the COVID-19 Fake News dataset to conduct a study to compare the effect of various machine learning-related approaches. We looked at different traditional machine learning models and deep learning language models for detecting fake news and compared their results in multiple ways. We discovered that LSTM and similar neural network models are the most effective at detecting fake news, especially with large datasets. We are confident that our benchmark study will assist the research community and various news blogs/sites to choose the best fake news detection algorithm. © 2021 IEEE.

15.
Asian Journal of Pharmaceutical and Clinical Research ; 14(2):57-59, 2022.
Article in English | EMBASE | ID: covidwho-1689626

ABSTRACT

Objective: Doctors may experience stigma and discrimination from community, friends and even family due to their association with COVID-19 patients. The present study was planned to assess actual stigma experienced by doctors because of working in COVID-19 wards. Methods: A cross-sectional study was conducted in the Department of Psychiatry of a dedicated COVID-19 Hospital of North India. A Google Survey Form which measured Experienced Stigma was circulated through WhatsApp groups in October-November 2020 among all the doctors working in COVID-19 ward. Data collected was analyzed statistically. Results: Around 250 doctors participated in the study and 70% of them experienced stigma in one or more ways. Approximately, 60% doctors had stopped socializing because of people’s reactions, they felt that people were afraid of them and that people avoided touching them because they were treating patients with COVID-19. 110 (44%) respondents were denied social exchanges/friendships, 88 (35.2%) felt neglected by family or friends, and 71 (28.4%) lost friendships because they worked with patients with COVID-19. Stigma was experienced significantly higher in younger age (p=0.012*), resident doctors (p=0.001**) and those with longer working hours (p=0.01*). Conclusion: Doctors experience stigma from friends, family and general public due to their contact with COVID-19 patients. Experienced stigma is higher in young age and resident doctors.

16.
12th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2021 ; : 106-112, 2021.
Article in English | Scopus | ID: covidwho-1672787

ABSTRACT

The accelerated spread of the COVID-19 (coronavirus) disease has put stress on healthcare systems. Some safety measures are provided, such as keeping social distance and wearing a mask, which can help curb transmission and save lives. This paper aims to detect whether a person is wearing a mask or not with video surveillance to enforce health and safety regulations in real-time. We propose a solution for face mask detection using two deep learning models, the MobileNetV2 and the Modified Convolutional Neural Network (MCNN). The trained models are converted to TensorFlow Lite to deploy an Android Application. Our models can achieve up to 99% accuracy. In this paper, an analysis of the number of individuals not wearing masks is provided by capturing the face and storing it on a mobile-backend-as-a-service. Our application can be adopted to increase health measures in real-time and control the spread of COVID-19. © 2021 IEEE.

17.
Journal of Asia Business Studies ; 2021.
Article in English | Scopus | ID: covidwho-1590905

ABSTRACT

Purpose: The catastrophic state of the COVID-19 pandemic outbreak has seized off all the operations along with the globe. It has not only distressed the socio-economic structure of the world but also mounted enormous pressure on the governmental bodies to save the lives of the people. Despite this, severe impacts of the same have been observed on the small and medium manufacturing enterprises (SMME) practices, resulting in the economic downturn. The purpose of this study is to facilitate the SMME’s with circular economy (CE) practices to overcome the negative impacts of the COVID-19 outbreak on their supply chain (SC) operations. Design/methodology/approach: The presented work identified seven critical impacts as criteria of the novel COVID-19 pandemic on the Indian SMME and seeks to identify the relief measures in the CE paradigm by identifying 13 prominent enablers to CE as alternatives. Experts’ opinions have been engaged to detect CE enablers’ proficiency to overpower the pandemic impact through a questionnaire-based survey. The obtained data have been clustered and analyzed through a hybrid approach of entropy weight method and grey relational analysis to find an organized ranking of the enablers. Findings: Current work spotlights the SMME’s losses due to SC disruptions and declined consumption patterns. The waste augmentation during the pandemic era has also been grouped in this study, primarily associating with the SC’s waste generation. The result of the performed analysis shows that the CE enabler “waste reduction and its transformation into a resource (E1)” have achieved the highest rank among all the considered enablers, governing a higher demand toward reusing waste for better handling the post COVID era state of affairs. Originality/value: The presented study aimed to suppress the pandemic impact and generate anticipation of the CE concept, which might help the managers and policymakers identify its urgent need to achieve a stable and resilient SC system in a post COVID period. Presented work is peculiar, aiming to accelerate the CE adaption with green material usage in the industrial sector to suppress the present miserable condition and to achieve industrial and social sustainability for a better-foreseen future. © 2021, Emerald Publishing Limited.

18.
2nd International Conference on Computational Intelligence and Energy Advancements, ICCIEA 2021 ; 2062, 2021.
Article in English | Scopus | ID: covidwho-1593810

ABSTRACT

In the present scenario COVID-19 pandemic has ruined the entire world. This situation motivates the researchers to resolve the query raised by the people around the world in an efficient manner. However, less number of resources available in order to gain the information and knowledge about COVID-19 arises a need to evaluate the existing Question Answering (QA) systems on COVID-19. In this paper, we compare the various QA systems available in order to answer the questions raised by the people like doctors, medical researchers etc. related to corona virus. QA systems process the queries submitted in natural language to find the best relevant answer among all the candidate answers for the COVID-19 related questions. These systems utilize the text mining and information retrieval on COVID-19 literature. This paper describes the survey of QA systems- CovidQA, CAiRE (Center for Artificial Intelligence Research)COVID system, CO-search semantic search engine, COVIDASK, RECORD (Research Engine for COVID Open Research Dataset) available for COVID-19. All these QA systems are also compared in terms of their significant parameters- like Precision at rank 1 (P@1), Recall at rank 3(R@3), Mean Reciprocal Rank(MRR), F1-Score, Exact Match(EM), Mean Average Precision, Score metric etc.;on which efficiency of these systems relies. © 2021 Institute of Physics Publishing. All rights reserved.

19.
Neurology ; 96(15):2, 2021.
Article in English | Web of Science | ID: covidwho-1576454
20.
Journal of Laboratory Physicians ; : 2, 2021.
Article in English | Web of Science | ID: covidwho-1541280
SELECTION OF CITATIONS
SEARCH DETAIL