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1.
International Journal of Pharmaceutical Sciences Review and Research ; 76(1):119-125, 2022.
Article in English | EMBASE | ID: covidwho-2067718

ABSTRACT

The plant Curcuma longa, a perennial herbaceous member of the Zingiberaceae (ginger family), produces turmeric. Protein, fat, minerals, carbs, and moisture are all included in turmeric. Curcumin (diferuloylmethane), a phenolic diketone that makes up 34 percent of curcumin and is made up of curcumin I, curcumin II, and curcumin III, is what gives turmeric its characteristic yellow colour. Curcumin have versatile pharmacotherapeutic potential and their biological functions have been thoroughly investigated in recent years. As the main bioactive component, curcumin has numerous pharmacological properties including antioxidant, anti-inflammatory, anti-hypertensive, anti-diabetic, hepatoprotective, anti-rheumatoid arthritis and anti-cancer properties. In persons who are active, it improves recuperation and performance. It helps with viral infections and dental issues such as dental pain, gingivitis. Covid also benefits from curcumin. ar-turmerone also possesses antiinflammatory properties. Ar-turmerone is a potentially effective treatment for a number of neurologic conditions like schizophrenia. Multiple health advantages are provided by curcumin when mixed with boosting agents. Copyright © 2022, Global Research Online. All rights reserved.

2.
3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication, MARC 2021 ; 915:65-78, 2022.
Article in English | Scopus | ID: covidwho-2059751

ABSTRACT

By continuous hike of the deadly COVID-19 pandemic, the lifestyle of an individual has switched and changed all over the globe. Every individual has found it necessary to use a face mask in these situations. Identifying individual is wearing a face mask is very challenging due to wave of the deadly COVID-19 pandemic. The author proposed an approach in this study review work that would limit the evolution of the COVID-19 virus by personal identification who is not covering up any face mask. Many pieces of research have showed that wearing a mask reduces the possible chance of viral transmission of this life-threatening coronavirus and provides a sense of protection. The research during this zone has hiked over the past years. A typical review of the literature is studied to evaluate whether or not human beings are wearing masks, and based on these reviews, a modified analysis is done to detect which approach is feasible. This review included various search methodologies, too many research papers were recognized out of which seventeen are relevant papers. This paper will assess the research progresses related to the facial masks of an individual. It also helps the author to review out the ongoing and the forthcoming scenario of this research which have been working on facial mask detection using artificial intelligence. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

4.
6th International Conference on Computer Vision and Image Processing, CVIP 2021 ; 1567 CCIS:71-82, 2022.
Article in English | Scopus | ID: covidwho-1971570

ABSTRACT

Covid-19 global pandemic continues to devastate health care systems across the world. At present, the Covid-19 testing is costly and time-consuming. Chest X-Ray (CXR) testing can be a fast, scalable, and non-invasive method. The existing methods suffer due to the limited CXR samples available from Covid-19. Thus, inspired by the limitations of the open-source work in this field, we propose attention guided contrastive CNN architecture (AC-CovidNet) for Covid-19 detection in CXR images. The proposed method learns the robust and discriminative features with the help of contrastive loss. Moreover, the proposed method gives more importance to the infected regions as guided by the attention mechanism. We compute the sensitivity of the proposed method over the publicly available Covid-19 dataset. It is observed that the proposed AC-CovidNet exhibits very promising performance as compared to the existing methods even with limited training data. It can tackle the bottleneck of CXR Covid-19 datasets being faced by the researchers. The code used in this paper is released publicly at https://github.com/shivram1987/AC-CovidNet/. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

5.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:17815-17827, 2022.
Article in English | Scopus | ID: covidwho-1950333

ABSTRACT

The novel Covid illness (COVID-19) has spread more than 219 nations on the globe as a pandemic, making disturbing impacts on medical care, financial conditions, and global connections. The primary goal of the review is to give the Artificial Intelligence's technological aspect and other applicable innovations and their suggestions for standing up to COVID-19 and prevention of the pandemic's frightful impacts. This article presents various approaches with AI moves toward that have huge contribution in the medical service fields, then, at that point, features and sorts their applications in facing Corona virus, like identification and finding, information examination and treatment methods, exploration and medication improvement, social control and benefits, and the expectation of outbreaks. The review tends to the connection between the innovations and the pandemics just as the expected effects of innovation in medical care with the presentation of AI and normal language processing devices. It is usual that this exhaustive review will uphold specialists in demonstrating medical services frameworks and drive further investigations in cutting edge innovations. At last, we conclude that enticing simulated artificial intelligence techniques, probabilistic models, as well as supervised learning are needed to handle future pandemic difficulties. © The Electrochemical Society

6.
Neurology ; 98(18 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1925203

ABSTRACT

Objective: To study the clinico-radiological presentation patterns in patients of post COVID-19 mucormycosis. Background: COVID-19 infection has been responsible for various neurological disorders like stroke, encephalitis, Guillain Barre syndrome etc. almost all over the world. The second wave of this deadly virus was followed by sudden upsurge of cases of mucormycosis in India. While the exact reason for this is still unknown, it is hypothesized to be attributed to steroid use in immunocompromised states like Diabetes Mellitus and possible contamination of intranasal oxygen with industrial oxygen. There have been various patterns of presentations of these patients to mucor units. Neurological involvement was seen in majority of these cases. This study was aimed to study clinical and radiological aspects of such patients. Design/Methods: Total 81 patients, diagnosed as mucormycosis after recovery from COVID-19 illness and who got admitted in mucor units of two tertiary care hospitals of India were included in the study. The presenting clinical features and radiological patterns of involvements were assessed. Results: Out of 81, 46(56.79%) were males and 35(43.21%) were females. Maximum 21(25.92%) patients were between 51-60 years. Most common presenting complaints were heaviness over cheek followed by headache, blurring of vision, nasal discharge, nasal crusting, chemosis of eye, decreased facial sensations and hemiparesis. MRI findings included sinusitis, cavernous sinus thrombosis, orbital cellulitis, anterior circulation infarcts and intracranial fungal abscesses. Rhino-orbital-cerebral mucormycosis was the most common pattern seen in 49(60.49%) patients followed by rhino-orbital form in 19(23.45%) patients and rhino-cerebral mucormycosis in the remaining 13(16.04%) patients. Conclusions: Mucormycosis has emerged as an important complication of COVID-19 infection after the second wave of pandemic in India. Major neurological manifestations have been seen to be associated with it. Lessons need to be learned from this mucormycosis epidemic for prevention of spread and management of this dreaded entity in other regions of the world.

7.
Diabetes research and clinical practice ; 186:109354-109354, 2022.
Article in English | EuropePMC | ID: covidwho-1876902
8.
European Journal of Molecular and Clinical Medicine ; 9(3):4721-4728, 2022.
Article in English | EMBASE | ID: covidwho-1857377

ABSTRACT

Background:To evaluate the association of the demographic, clinical sign and symptoms and laboratory biomarkers in predicting the mortality in COVID-19 infected patients. Materials and Methods: This was a single centre retrospective observational study carried out in atertiary care centre of a tribal region of central India, which was a referral centre for COVID-19.Parameters taken into account were physiological parameters,symptoms at admission,radiographic findings and laboratory findings. Results: Out of 103 deaths included in this study 76 were male and 37 females (2:1). Mean age of the deceased were 54.90 years (18-90 years). The most common symptom on admission was breathlessness in 92 patients (89.32%). Abdominal symptoms like diarrhoea and vomiting were associated in 7.7 % of the deceased patients only.Most of the patients who died were older patients having age 60 years and above (65.04 %). Most of the patients who died had Spo2 less than 90 % on admission (85.43 %).Lymphopenia (92.23 %) was the most commonly observed finding on blood investigations done in deceased patients followed by increased CRP level (78.64 %). Comorbidities were present in 77 patients out of 103 patients (74.75%) included in this study. Diabetes and hypertension were being the most common comorbidities associated in these patients.Death was not commonly observed in patients with COVID 19 associated with respiratory diseases. Conclusion: Identified prognostic factors can help clinicians and policy makers in tailoring management strategies for patients with COVID-19 infectious disease while researchers can utilize our findings to develop multivariable prognostic models that could eventually facilitate decision-making and improve patient important outcomes.

11.
9th International Conference on Frontiers in Intelligent Computing: Theory and Applications, FICTA 2021 ; 266:359-365, 2022.
Article in English | Scopus | ID: covidwho-1750606

ABSTRACT

We all aware of COVID-19 impact around the world which made us to be more cautious in our social life. In this situation, we need to adopt few precautionary measures such as washing hands regularly, sanitization and social distancing. In this regard, we need to upgrade our gadget which comes under physical contacts regularly with people as it can be high risk of transmission of virus. Here doorbell is one such an example which comes under gadget with multiple person contacts, so there should be an upgradation to avoid physical contact while using doorbell. This made us to develop a product called as touchless doorbell with sanitizer dispenser, which avoids physical contacts as well as provides sanitizing the hand. It consists of two IR transceivers, and microcontroller along with surrounding circuitry helps to control sanitizer and doorbell. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

12.
Open Forum Infectious Diseases ; 8(SUPPL 1):S595-S596, 2021.
Article in English | EMBASE | ID: covidwho-1746333

ABSTRACT

Background. Several COVID-19 vaccines have been authorized, and the need for rapid, further modification is anticipated. This work uses a Model-Based Meta-Analysis (MBMA) to relate, across species, immunogenicity to peak viral load (VL) after challenge and to clinical efficacy. Together with non-clinical and/or early clinical immunogenicity data (ECID), this enables prediction of a candidate vaccine's clinical efficacy. The goal of this work was to enable the accelerated development of vaccine candidates by supporting Go/No-Go and study design decisions, and the resulting MBMA can be instrumental in decisions not to progress candidates to late stage development. Methods. A literature review with pre-specified inclusion/exclusion criteria enabled creation of a database including nonclinical serum neutralizing titers (SN), peak VL after challenge with SARS-CoV-2 (VL), along with data from several clinical vaccine candidates. Rhesus Macaque (RM) and golden hamster (GH) were selected (due to availability and consistency of data) for MBMA modeling. For both RM and GH, peak post-challenge VL in lung and nasal tissues were used as surrogates for clinical disease and were related to pre-challenge SN via the MBMA. The VL predictions from the RM MBMA were scaled to incidence rates in humans, with a scaling factor between RM and human SN estimated using early Phase 3 efficacy data. This enabled clinical efficacy predictions based on ECID. To qualify the model's predictive power, efficacies of COVID-19 vaccine candidates were compared to those predicted from the MBMA and their respective Ph1/2 SN data. More recently available clinical data enable building a clinical MBMA;comparing this to the RM MBMA further supports SN as predictive. Results. The MBMA analyses identified a sigmoidal decrease in VL (increasing protection) with increase in SN in all three species, with more SN needed (in both RM and GH) for protection in nasal swabs than in BAL (see figure). The comparison between predicted and reported clinical efficacies demonstrated the model's predictive power across vaccine platforms. RM and GH MBMA Protection Models and Translational Prediction with Observed Efficacies Sizes of circles indicate relative weight of the data in the respective quantitative model. Model and data visualizations have been harmonized (across tissue-types) separately for each of RM and GH using VACHER (Lommerse, et al., CPT:PSP, in press). Conclusion. By quantifying adjustments needed between species and assays, translational MBMA can inform development decisions by using nonclinical SN and VL, and ECID to predict protection from COVID-19.

13.
Journal of Cardiovascular Disease Research ; 13(1):168-172, 2022.
Article in English | CAB Abstracts | ID: covidwho-1727368

ABSTRACT

Introduction: Lockdown was imposed in many countries in the world owing to very high infection spread in the COVID-19 pandemic resulting in high mortality. Preventive measures were instilled at the community as well as individual-level including the use of face masks, sanitization, and frequent hand washing. Previous literature data suggest using various types of masks to prevent the spread of infection. Aim: The present cross-sectional study was conducted to assess the knowledge and awareness about different types of masks during COVID-19 in Indian healthcare professionals. Materials and Methods: The study was based on the survey questionnaire distributed to the subjects using google forms in online link form. The subjects were recruited for the study based on voluntary participation in Indian healthcare professionals. The survey was conducted on 998 professionals on different types of facemasks.

14.
Journal of Marine Medical Society ; 23(2):159-166, 2021.
Article in English | Web of Science | ID: covidwho-1702689

ABSTRACT

Introduction: Effective triage of COVID-19 patients, especially in resource-limited settings, requires cost-effective and readily available markers. The present study looks at the prognostic role of three such laboratory parameters, absolute lymphocyte count (ALC), absolute neutrophil count (ANC), and neutrophil-to-lymphocyte ratio (NLR). Methodology: A retrospective cohort study was done including 328 COVID-19 reverse transcriptase-polymerase chain reaction-confirmed hospitalized patients aged 18 and above in a tertiary center in northern India. Baseline demographic, clinical, and laboratory parameters were collected on the day of admission. Statistical analysis included descriptive statistics, sensitivity-specificity analysis for optimum cutoffs, multiple logistic regression, and Cox proportional hazards regression. Results: The median age of the patients was 45 with 266 (81.1%) males and 62 (18.9%) females. A total of 109 (33.2%) patients were affected with moderate to severe disease. Forty-nine (14.9%) patients had fatal outcomes. Median ALC was lower in patients with moderate to severe disease compared to mild disease (895 vs. 1554.2) and in nonsurvivors compared to survivors (732.0 vs. 1423.9). Median ANC (5182.8 vs. 3057.6) and NLR (5.38 vs. 2.03) were significantly raised in patients with moderate to severe disease as against mild disease and in nonsurvivors(ANC 7040.25 vs. 3448.5, NLR 10.05 vs. 2.35). ALC <1273, ANC >3907, and NLR >2.74 showed considerable sensitivity and specificity for disease severity at admission. ALC and ANC were significantly associated with the odds of moderate to severe disease at admission in the multivariable logistic regression analysis. ALC <1183, ANC >4612, and NLR >3.76 had good sensitivity and specificity as predictors of mortality and emerged as independent risk factors for mortality in the multivariable Cox proportional hazards regression. Conclusion: ALC, ANC, and NLR are relatively cost-effective and readily available routine investigations obtained as a part of complete blood count. These indices show good prognostic significance. Their utility in clinical algorithms can better guide management of patients.

15.
Journal of Headache and Pain ; 22(SUPPL 2):1, 2021.
Article in English | Web of Science | ID: covidwho-1539309
16.
Journal of Headache and Pain ; 22(SUPPL 2):2, 2021.
Article in English | Web of Science | ID: covidwho-1539308
17.
Minerva Psychiatry ; 62(3):156-163, 2021.
Article in English | EMBASE | ID: covidwho-1488923

ABSTRACT

COVID-19 has already swept millions of lives and created the deep black cloud made up of negative emotions. Analysis of origin of negative emotions from previous experiences indicates diversity in thinking, reasoning, self-centeredness and lack of empathy give rise to human vices which are difficult but not impossible to overcome by resurrection of positive emotions like love, empathy, motivation for good deeds and philanthropic activities. Complex interplay of positive and negative emotions orchestrated by intricately associated neuronal circuits, neurotransmitters coupled with endocrinal influence holds responsible for human behavior, considered as the root of human civilization, is currently facing existential crisis during COVID-19 pandemic. Human civilization is experiencing unique psychosocial problems through emerging COVID-19 pandemic. Depression, panic buying, herd behavior, infodemic, immense sufferings of marginalized people, surge of addictive behavior, racism, domestic violence, rape, divorce, financial constraints, stigmatization, all stem from negative emotions and lack of positive vibes amidst the rally of death and sorrows. COVID-19 and surge of negative emotions are the two pandemics which conjointly causing major mental health threat. Cultivations and practice of positive emotions and triumph of optimistic octet over sinister septet are desirable to save Mother Nature and her habitats from the cruel claws of this pandemic.

18.
Journal, Indian Academy of Clinical Medicine ; 22(1-2):41-46, 2021.
Article in English | Scopus | ID: covidwho-1441608

ABSTRACT

Background: Since the COVID-19 global pandemic emerged, the worldwide medical fraternity has been facing multiple challenges regarding its management. Patients with severe/critical illness have a poor prognosis. Hence, early detection and assessment of disease severity is vital to offer timely management. Recent studies indicate that altered haematological parameters may predict the disease severity and mortality. We aimed to investigate associations between haematological parameters and disease severity in patients with SARS CoV 2 infection. Objectives: This study was undertaken to find out the optimal cut-off values of haematological parameters that may significantly relate to the clinical severity of COVID-19 and to evaluate their utility as parameters to predict mortality. Methods: It was a hospital based prospective cohort study, conducted over a period of 4 months, fromMay, 2020 to August, 2020 at a level 3 designated COVID-19 facility in Uttar Pradesh. In our cohort, there were a total of 211 patients out of which 125 were non-ICU admissions and 86 were ICU admissions. Cases were classified as severe, moderate andmild based on their oxygen requirements and ICU care needs. Results: The mean age of non-ICU patients was 47.1 ± 16.2 years, ICU survivors, were aged 57.4 ± 11.4, and ICU non-survivors were aged 57.3 ± 15.2. There was no mortality in the non-ICU group. Of the 86 ICU admissions, 69 were male, of which 27 were non-survivors and 17 were female, of whom 5 were non-survivors. Amongst the deceased patients, there was a significant leucocytosis (P < 0.001), neutrophilia (P < 0.001) and increased NLR (P = 0.026). The pooled analysis revealed that the NLR cut-off of > 3.85 was associated with severity and prediction for ICU admission, while NLR of > 5.2857 was associated with mortality. Conclusion: In conclusion, advanced age, male sex, a high white blood cell count, neutrophilic leucocytosis or neutrophilia along with the elevated NLR were significantly associated with both the clinical severity and mortality. © 2021, Indian Academy of Clinical Medicine. All rights reserved.

19.
Indian Journal of Animal Sciences ; 91(5):410-415, 2021.
Article in English | Web of Science | ID: covidwho-1431434

ABSTRACT

A study was conducted among 570 farmers spread across 57 districts (out of 75) of Uttar Pradesh from 10 April to 10 May 2020 by telephonic contact using the pre-structured interview schedule to assess the impact of CoVID 19 lockdown on the investment and profitability of major bovines of the state namely cattle and buffalo each with 460 data points. Different indicators for research variables namely investment pattern and profitability were measured by asking direct questions to the randomly selected 10 farmers from each district during the lockdown period and their experiences during last year (2019). The collected data were subjected for descriptive analysis - average, percentage, rank, standard deviation (SI)) and coefficient of variation (CV), and also to the paired t-test to see the significance of difference, if any. Findings of the study showed that all the investments indicators like feed and fodder price, treatment cost, animal handling charges and total cost of milk production of cattle and buffalo enhanced significantly during the lockdown. The magnitude varied as per the nature of the cost components. The price variation was observed across the sample respondents and district. Similarly, for profitability indicators, there was reduction in the magnitude of milk sale (13-15%), selling price of milk (4-5%) and B:C ratio (5.2 -7.3%) significantly owing to lockdown. The perceptions of KVK experts from across the selected districts were also analyzed. During this period. KVKs of the state also disseminated various advisories, instructions. crop and enterprise-specific recommendations.

20.
Journal of the Pediatric Infectious Diseases Society ; 10(Suppl. 2):S10-S11, 2021.
Article in English | GIM | ID: covidwho-1364811

ABSTRACT

Background: Understanding viral kinetics of SARS-CoV-2 is important to assess risk of transmission, manage treatment, and determine the need for isolation and protective equipment. Children have been noted to have less severe illness than adults and may have less transmission potential. We sought to determine whether children deemed to be asymptomatic had a difference in the PCR cycle threshold (Ct) value of respiratory samples from symptomatic children with SARS CoV-2 infection.

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