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1.
2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2022 ; 2022.
Article in English | Scopus | ID: covidwho-20234620

ABSTRACT

The COVID pandemic is causing outrageous interference in everyday life and financial activity. Close to two years after the presence of COVID, WHO allotted the variety B.l.l.529 a variety of concern, named 'Omicron'. Online diversion data assessment is created and transformed into a more renowned subject of investigation. In this paper, a sizably voluminous heap of appraisals and assessments are culminated with online redirection information. The evaluations and appearances of Twitter electronic diversion stage clients are summarised and researched by considering sentiment analysis by utilising various natural language processing techniques based on positive, negative, and neutral tweets. All potential outcomes are considered for investigating the feelings of Twitter clients. For the most part, tweets are assessed clearly, and this assessment ensures the headway of this investigation study. Different kinds of analyzers are utilised and measured. The 'TextBlob Sentiment Analyzer' has given the highest polarity score based on positivity, negativity, and neutrality rates in terms of inspiration, pessimism, and impartiality. A total dataset is fully determined and classified with all the analyzers, and a comparative result is also measured to find the ideal analyzer. It is intended to apply boosting machine learning methods to increase the accuracy of the proposed architecture before further implementation. © 2022 IEEE.

2.
OpenNano ; 11 (no pagination), 2023.
Article in English | EMBASE | ID: covidwho-2252122

ABSTRACT

Various health agencies, such as the European Medical Agency (EMA), Centers for Disease Control and Prevention (CDC), and World Health Organization (WHO), timely cited the upsurge of antibiotic resistance as a severe threat to the public health and global economy. Importantly, there is a rise in nosocomial infections among covid-19 patients and in-hospitalized patients with the delineating disorder. Most of nosocomial infections are related to the bacteria residing in biofilm, which are commonly formed on material surfaces. In biofilms, microcolonies of various bacteria live in syntropy;therefore, their infections require a higher antibiotic dosage or cocktail of broad-spectrum antibiotics, aggravating the severity of antibiotic resistance. Notably, the lack of intrinsic antibacterial properties in commercial-grade materials desires to develop newer functionalized materials to prevent biofilm formation on their surfaces. To devise newer strategies, materials prepared at the nanoscale demonstrated reasonable antibacterial properties or enhanced the activity of antimicrobial agents (that are encapsulated/chemically functionalized onto the material surface). In this manuscript, we compiled such nanosized materials, specifying their role in targeting specific strains of bacteria. We also enlisted the examples of nanomaterials, nanodevice, nanomachines, nano-camouflaging, and nano-antibiotics for bactericidal activity and their possible clinical implications.Copyright © 2023 The Author(s)

3.
Journal of Crohn's and Colitis ; 17(Supplement 1):i344-i345, 2023.
Article in English | EMBASE | ID: covidwho-2277760

ABSTRACT

Background: Delays in diagnosis can be patient and health-system related. Such delays have been reported to increase overall complications in Inflammatory Bowel Diseases (IBD). The aim of our study was to report on the impact of delays on IBD-related adverse outcomes (AOs), as hospitals currently face challenges with long waiting lists in the post-COVID-19 era. Method(s): New patients referred for suspected IBD to a single tertiary care centre between Jan 2013 to Dec 2017 were identified using EMR. A cut-off time was set for each delay-type based on best average hospital waiting times. Reasons for delays until start of treatment and data on pre-defined AOs (steroid & other rescue therapies, hospitalisations, surgery) were recorded for each patient until end of June 2021. Data was analysed using multiple Pearson correlations and Cox proportional Hazard model to determine if there was a difference in survival without AOs between patients with and without delay. Result(s): 105 patients were identified using strict criteria (M=58;median age=32y) with a median follow-up of 55 months. The most frequent presenting complaints were abdominal pain (44, 41.9%), loose stools (40, 38.1%), bloody diarrhoea (37, 35.2%) and bleeding perrectum (33, 31.4%). 65, 27 and 13 patients had a final diagnosis of Ulcerative colitis, Crohn's disease and Unclassified colitis respectively, and were analysed jointly. The longest delay-types noted: Patients seeking medical attention (median= 4 months;range 1 to 84 months);arranging gastroenterology clinic review after GP referral (median=5 weeks;1 to 30 weeks);and waiting for index endoscopy (median=3 weeks;1 to 36 weeks). Patient stratification based on delay-type, using specific cut-off times for each showed a statistically significant difference in survival without AOs for all (when comparing delay vs no delay). - delay in seeking medical attention (cut-off=1m;p=0.004) (Fig 1A) - delay in GP referral to specialty review (cut-off=1w;p=0.048) - delay in index endoscopy (cut-off=4w;p=0.01) (Fig 1B) - delay in starting treatment (cut-off=4w;p=0.03) Conclusion(s): Several bottlenecks of delays increase AOs in IBD over the follow-up period. A delay as short as a week, between GP referral to specialty review, is significant in determining AOs, relevant for specialist IBD centres particularly in the post-Covid period. Endoscopy units should prioritise suspected IBD patients to reduce AOs, which is likely to have implications on service delivery and planning. Long delays observed in patients seeking medical attention highlights the need for better patient education in the community.

4.
Journal of the Indian Medical Association ; 120(2):23-26, 2022.
Article in English | GIM | ID: covidwho-2072695

ABSTRACT

Introduction: Deaths of Healthcare Workers (HCWs) from COVID-19 infection were reported from various parts of West Bengal months after rolling out of Vaccines for them. Empirical data suggested that those HCWs who died due to COVID- 19 were either not vaccinated or partially vaccinated. which points to Vaccine hesitancy among them. Objectives: (1) To study the perception of HCWs of West Bengal about COVID-19 Vaccine. (2) To determine the level of vaccine hesitancy and its causes among the study population.

5.
Gut ; 71:A5-A6, 2022.
Article in English | EMBASE | ID: covidwho-2005338

ABSTRACT

Background Delays in diagnosis could be patient-related and health-system related. It has been reported that such delays increase overall complications in Inflammatory Bowel Diseases (IBD). The aim of our study was to report on the impact of delays on IBD-related adverse outcomes (AOs), as most hospitals currently face challenges with long waiting lists in the post-Covid-19 era. Methods New patients referred for suspected IBD to a single tertiary care centre between Jan 2013 to Dec 2017 were identified using EMR. For purposes of the study, a cut-off time was set by investigators for each delay-type based on best average hospital waiting times. The reasons for delays in patient journey until start of treatment and data on predefined AOs (steroid & other rescue therapies, hospitalisations, surgery) were recorded for each patient until end of June 2021. The data were analysed using multiple Pearson correlations and Cox proportional Hazard model to determine whether there is a difference in survival without AOs between patients with and without a delay. Results Total of 105 patients were identified using stringent criteria (M=58 ;median age=32y) with a long median followup of 55 months. The most frequent presenting complaints were abdominal pain (44, 41,9%), loose stools (40, 38,1%), bloody diarrhoea (37, 35,2%) and bleeding per-rectum (33, 31,4%) and only 16% declared a family history. 65, 27 and 13 patients had final diagnosis of Ulcerative colitis, Crohn's disease and Unclassified colitis respectively, and analysed collectively. In our cohort, the longest delay-types noted were - patients seeking medical attention (median= 4 months;range 1 to 84 months), arranging gastroenterology clinic review after referral from primary care (median=5 weeks;range 1 to 30 weeks), and waiting for index endoscopy (median=3 weeks;1 to 36 weeks). Patient stratification based on delay-type, using specific cutoff times for each showed a statistically significant difference in survival without AOs for all (when comparing delay v/s no delay). 1. delay in seeking medical attention (cut-off=1m;p=0.004) (figure 1A) . delay in GP referral specialty review (cut-off=1w;p=0.048) . delay in index endoscopy (cut-off= 4w;p=0.01) (Fig 1B) . delay in starting treatment (cut-off= 4w;p=0.03) Conclusion . Several bottlenecks of delays increase AOs in IBD over the follow-up period. . A delay as short as a week, between GP referral specialty review, is significant in determining AOs;this has implications on specialist IBD centres particularly in the post-Covid period. . Endoscopy units should prioritise suspected IBD patients to reduce AOs, which is likely to have implications on service delivery and planning. . Long delays observed in patients seeking medical attention highlights the need for both primary and secondary care to undertake patient education in the community.

6.
Indian Journal of Clinical Biochemistry ; 36(SUPPL 1):S160, 2021.
Article in English | EMBASE | ID: covidwho-1767697

ABSTRACT

Objective : Dehydroepiandrosterone sulfate (DHEAS) was observed to be decreased in sepsis and inflammatory conditions. The severity of inflammation was found to be associated with a low DHEAS/cortisol ratio. In the present study, we compared DHEAS, cortisol, and DHEAS/cortisol ratio to assess which is a better marker for inflammation in patients with COVID-19. Methodology: This was an analytical cross-sectional pilot study conducted from April 2020 to Dec 2020. The study recruited 76 RT-PCR positive COVID-19 positive patients. The blood samples were collected were analyzed for cortisol and DHEAS. Highly sensitive C-reactive protein (hs-CRP) levels were estimated to assess the inflammation. Results: We classified the cases into two groups based on the median levels of DHEAS, cortisol, and DHEAS/cortisol ratio. We observed hs-CRP to be elevated in the groups which have the levels of DHEAS, cortisol, and DHEAS/cortisol ratio lower than the respective medians. However, a significant difference in hs-CRP levels was observed only between DHEAS/cortisol ratio (p value= 0.0204) and not between DHEAS and cortisol groups. Conclusion: The present study is the first of its kind comparing the DHEAS levels and DHEAS/ cortisol ratio in COVID-19. The study concludes DHEAS/cortisol ratio to be a better marker than individual DHEAS or cortisol in the assessment of inflammation in COVID-19 patients.

7.
Indian Journal of Clinical Biochemistry ; 36(SUPPL 1):S24-S25, 2021.
Article in English | EMBASE | ID: covidwho-1767684

ABSTRACT

The advent of eLearning has totally changed the Tprocess of gaining knowledge and it seems the future of education will rely a lot more on it. During the COVID-19 pandemic, the growth of eLearning in the country has been exemplary and almost all form of education took the virtual route to keep things going. It is noteworthy that eLearning has completely reshaped the educational system globally. Although eLearning has changed the way people learn and has made education to reach to a diverse group of audience, it has its own set of issues in the country. These include the difficulties to adapt to the virtual mode, missing a wholesome learning experience and suffering changes in the mental and physical health. The process of eLearning, apart from influencing an individual, also affects the society in a major way. It is high time for the Indian educational system to adapt and compete with the fast growing global market of educational technology. Further, implementation of appropriate Government policies will alsoplay a major role in deciding the fate of eLearning in India.

8.
Acm Transactions on Management Information Systems ; 12(4):20, 2021.
Article in English | Web of Science | ID: covidwho-1691231

ABSTRACT

As the Coronavirus Disease 2019 (COVID-19) pandemic continues to grow globally, testing to detect COVID-19 and isolating individuals who test positive remains the primary strategy for preventing community spread of the disease. Therefore, automatic and accurate detection of COVID-19 using medical imaging modalities, which are more widely available and accessible, can be beneficial as an alternative diagnostic tool. In this study, an Artificial Intelligence model for Detection of COVID-19 (AIDCOV) is developed to classify chest radiography images as belonging to a person with either COVID-19, other infections, or no pneumonia (i.e., normal). The hierarchical structure in AIDCOV captures the dependencies among features and improves model performance while an attention mechanism makes the model interpretable and transparent. We used several publicly available datasets of both computed tomography (CT) and X-ray modalities. The main public dataset for chest X-ray images contains 475 COVID-19 samples, 3949 samples from other viral/bacterial infections, and 1583 normal samples. Our model achieves a mean cross-validation accuracy of 98.4%. AIDCOV has a sensitivity of 99.8%, a specificity of 100%, and an F1-score of 99.8% in detecting COVID-19 from X-ray images on that dataset. Using a large dataset of CT images, our model obtained mean cross-validation accuracy and sensitivity of 98.8% and 99.4%, respectively. Additionally, our interpretable model can distinguish subtle signs of infection within each radiography image. Assuming these results hold up in larger datasets obtained from a variety of patients over the world, AIDCOV can be used in conjunction with or instead of RT-PCR testing (where RT-PCR testing is unavailable) to detect and isolate individuals with COVID-19, prevent onward transmission to the general population and healthcare workers, and highlight the areas in the lungs that show signs of COVID-related damage.

9.
British Journal of Dermatology ; 185:125-125, 2021.
Article in English | Web of Science | ID: covidwho-1396037
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