Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 21
Filter
1.
Journal of Dermatology and Dermatologic Surgery ; 26(3):S23-S25, 2022.
Article in English | EMBASE | ID: covidwho-2033232

ABSTRACT

Lethal midline granuloma is a rare aggressive, mutilating disorder of the upper airways. It is most likely secondary to natural killer/T-cell lymphoma and is difficult to diagnose owing to the varied and nonspecific symptoms. It is usually prevalent in the fourth decade of life and carries a poor prognosis. Our patient was a 19-year-old male with disease duration of 3 months, was diagnosed with lethal midline granuloma based on clinical examination, histopathology, and immunohistochemistry. The patient responded well to the first cycle of chemotherapy.

2.
ASAIO Journal ; 68:63, 2022.
Article in English | EMBASE | ID: covidwho-2032181

ABSTRACT

Background: In patients with COVID-19 and respiratory failure, class 3 obesity (body mass index > 40 kg/m2) has been associated with worse survival. Obese patients on mechanical ventilation with progressively more severe acute respiratory syndrome (ARDS) may be offered venovenous (VV) extracorporeal membrane oxygenation (ECMO) therapy. The impact of morbid obesity on the outcome of COVID-19 patients supported with VV ECMO has been underexplored. Methods: This is a multicenter, retrospective observational cohort analysis of critically ill adults with COVID-19 ARDS requiring advanced mechanical ventilation with or without VV ECMO. Data was collected from 236 international institutions forming the COVID-19 Critical Care Consortium international registry. Patients were admitted between January 2020 to December 2021. Included patients were stratified by ECMO status and a BMI threshold at 40 kg/m2. Median values with interquartile range (IQR) were used to summarize continuous variables and multi-state analysis was used to explore the effect of Class 3 obesity on the study endpoints of patient survival to discharge or death. Results: Complete data was available on 8851 of 9059 patients on mechanical ventilation, of which 767 patients required VV ECMO. For the entire study group, older age and male gender were associated with an increased risk of death. The demographics and comorbidities of the higher BMI (H >40 kg/m2) and lower BMI (L ≤40 kg/m2) cohorts were similar with the exception of age and weight. Patients with a higher BMI were younger. The median age of the H, non-ECMO cohort was 56 years (46-64), and the H, ECMO cohort was 41 years (35-51) versus the L, non-ECMO cohort of 64 years(55-71), and the L, ECMO cohort of 53years (45-60). Patients requiring VV ECMO had higher SOFA scores, experienced longer ICU and hospital lengths of stay, and a longer duration of total mechanical ventilation. Table The median time to intubation was longer in the mechanical ventilation only group (2 versus 0 days). Predictors for requiring ECMO included younger age, higher BMI and male gender. Risk factors for death included advancing age (every 10 years), male gender and increasing BMI (every 5kg/m2). The association between BMI and a higher rate of death was reduced in the mechanical ventilation only group (HR 0.92, 95% confidence interval 0.85 to 0.99). Conclusion: In patients with severe ARDS due to COVID-19 requiring mechanical ventilation, the likelihood of progressing to VV ECMO therapy or experiencing death is impacted by age, gender and higher BMI. The cohort of COVID-19 patients that ultimately required ECMO appear to be sicker at time hospital admission owing to the shorter time until mechanical ventilation. It appears the association between increasing BMI and death differs among the ECMO and mechanical ventilation alone cohorts. We would advocate for a prospective study to determine the benefit of VVECMO for the obese patient requiring VV-ECMO for COVID-19 ARDS. (Figure Presented).

3.
Asian Journal of Pharmaceutical and Clinical Research ; 15(8):155-160, 2022.
Article in English | EMBASE | ID: covidwho-1988821

ABSTRACT

Objective: The objective of the study was to find out the sociodemographic profile and psychological impact of COVID-19 pandemic in the key caregivers of COVID-19 patients. Methods: The psychological impact of COVID-19 pandemic was measured using DASS-21 scale in a sample of 100 caregivers of corona-positive patients admitted in Guru Nanak Dev Hospital under Govt. Medical College. Results: In our study, majority of the family caregivers of corona-positive patients in the hospital setting were male (76%), belonged to 21–40 years age group (58%), wedded (64%), Sikh by religion (69%), employed (58%), and from rural region (56%). Caregivers showed extremely severe depression (30.58±6.521), extremely severe anxiety (29.34±7.130), and severe stress (29.14±5694). Participants with increasing age showed higher levels depression, anxiety, and stress scores but significant association was seen only with mean anxiety scores with increasing age (p<0.05). A significant association was seen between mean scores of stress and education status (p<0.05). A significant association was also seen between mean scores of anxiety and stress scores and nuptial status (p<0.05). No significant associations were seen between gender of caregivers, employment status, religion, family type, and mean depression, anxiety, and stress scores (p>0.05). Conclusion: The impact of COVID-19 pandemic on mental health of family caregivers of COVID-19 cases is significant.

4.
INDIAN JOURNAL OF RESPIRATORY CARE ; 11(2):124-127, 2022.
Article in English | Web of Science | ID: covidwho-1939207

ABSTRACT

Background: In this coronavirus disease-2019 (COVID-19) pandemic, safe and effective preventative vaccines are essential to contain the pandemic, which has had severe medical, economic, and societal consequences, despite some people still becoming infected after receiving immunisation. Methods: A total of 200 patients were examined and split into two groups: (1) 100 consecutive COVID-19-positive cases who had been vaccinated and (2) 100 consecutive COVID-19-positive patients with no vaccination. At the time of the scan, the patient's vaccination status was noted. Results: The computed tomography severity score (CTSS) of unvaccinated individuals was found to be considerably greater than that of partly or fully vaccinated patients (median 13 vs. 7, P < 0.001). Completely vaccinated individuals had a considerably lower median CTSS than partly vaccinated patients (6 vs. 9, P < 0.001). Conclusions: Individuals should be thoroughly vaccinated to avoid major lung disease. As a result, stronger dedication and motivating efforts should be made worldwide to improve the COVID-19 vaccination program.

5.
Prabandhan: Indian Journal of Management ; 15(2):8-23, 2022.
Article in English | Scopus | ID: covidwho-1876253

ABSTRACT

The primary purpose of the present research paper was to investigate the influence of flexible work arrangements on personal and family well-being and performance of employees. The study also examined the moderating role of managerial support on the relationship between flexible work arrangements and well-being & performance. The target respondents were the teleworkers employed with Indian IT organizations located in North India. Data were gathered from 412 teleworkers to study the hypotheses, and Smart PLS 2.0 was employed to analyze the data. The results revealed a significant relationship between flexible work arrangements, personal and family well-being, and employee performance. The study further confirmed the significant and moderating effect of managerial support on the relationship between flexible work arrangements and performance. During the work-from-home policies at the workplace, the employees perceived that receiving support from the managers helped them perform well. As the COVID-19 pandemic has affected the economies globally, the present study’s findings would be essential for the managers to support their employees during such crises. © 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved.

6.
Embase; 2021.
Preprint in English | EMBASE | ID: ppcovidwho-335634

ABSTRACT

Background: Evaluating seroprevalence study risk of bias (RoB) is crucial for robust infection surveillance, but can be a time-consuming and subjective process. We aimed to develop decision rules for reproducible RoB assessment and an automated tool to implement these decision rules. Methods: We developed the SeroTracker-RoB approach to RoB assessment. To do so, we created objective criteria for items on the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Prevalence Studies and developed decision rules for RoB based on these items. The criteria and decision rules were based on published guidance for assessing RoB for prevalence studies and expert opinion. Decision rules were validated against the SeroTracker database of seroprevalence studies, which included consensus manual RoB judgements from two independent reviewers. We measured efficiency by calculating paired-samples t-test for time to judge RoB using the automated tool versus manually for 25 randomly selected articles from the SeroTracker database, coverage as the proportion of database studies where the decision rules could evaluate RoB, and reliability by calculating intraclass correlations between automated and manual RoB assessments. Results: We established objective criteria for seven of nine JBI items. We developed a set of decision rules with 61 branches. The SeroTracker-RoB tool was significantly faster than manual assessment with a mean time of 0.80 vs. 2.93 minutes per article (p<0.001), classified 100% (n = 2,070) of studies, and had good reliability compared to manual review (intraclass correlation 0.77, 95% confidence interval 0.74 to 0.80). The SeroTracker-RoB Excel Tool embeds this approach in a simple data extraction sheet for use by other researchers. Conclusions: The SeroTracker-RoB approach was faster than manual assessment, with complete coverage and good reliability compared to two independent human reviewers. This approach and tool enable rapid, transparent, and reproducible evidence synthesis of infection prevalence studies, and may support public health efforts during future outbreaks and pandemics.

7.
Embase; 2022.
Preprint in English | EMBASE | ID: ppcovidwho-335073

ABSTRACT

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is known to present with pulmonary and extra-pulmonary organ complications. In comparison with the 2009 pandemic (pH1N1), SARS-CoV-2 infection is likely to lead to more severe disease, with multi-organ effects, including cardiovascular disease. SARS-CoV-2 has been associated with acute and long-term cardiovascular disease, but the molecular changes govern this remain unknown. In this study, we investigated the landscape of cardiac tissues collected at rapid autopsy from SARS-CoV-2, pH1N1, and control patients using targeted spatial transcriptomics approaches. Although SARS-CoV-2 was not detected in cardiac tissue, host transcriptomics showed upregulation of genes associated with DNA damage and repair, heat shock, and M1-like macrophage infiltration in the cardiac tissues of COVID-19 patients. The DNA damage present in the SARS-CoV-2 patient samples, were further confirmed by γ−H2Ax immunohistochemistry. In comparison, pH1N1 showed upregulation of Interferon-stimulated genes (ISGs), in particular interferon and complement pathways, when compared with COVID-19 patients. These data demonstrate the emergence of distinct transcriptomic profiles in cardiac tissues of SARS-CoV-2 and pH1N1 influenza infection supporting the need for a greater understanding of the effects on extra-pulmonary organs, including the cardiovascular system of COVID-19 patients, to delineate the immunopathobiology of SARS-CoV-2 infection, and long term impact on health.

8.
Journal of Clinical and Diagnostic Research ; 16(2):BC10-BC12, 2022.
Article in English | Web of Science | ID: covidwho-1742941

ABSTRACT

Introduction: Corticosteroids have shown controversial results in severe infections. Limited data is available to prove the efficacy of this drug against Coronavirus Disease 2019 (COVID19) infection. Such studies have highlighted that steroids such as dexamethasone can be effective against the patients who are exhibiting severe symptoms of COVID-19. Aim: To determine the effectiveness of dexamethasone as adjunct drug in treatment of in critical COVID-19 patients. Materials and Methods: This observational single cohort study was conducted on all COVID-19 positive patients admitted to the tertiary care hospital, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, Punjab, India during August 2020 to October 2020. Critically ill patients suffering from COVID-19 receiving 6 mg dexamethasone along with standard treatment protocol as prescribed by the Indian Council of Medical Research (ICMR) were included in this study. Serum interleukin-6, D-dimer, ferritin, levels along with CT values from RT-PCR of nasopharyngeal and oropharyngeal swab were recorded on the day of admission and after 7 days of dexamethasone therapy along with standard treatment protocol of ICMR. The data was analysed using descriptive statistics and paired-t test. Results: There were 22 males and 28 females enrolled in the study with mean age of males as 55 years and mean age of females as 56 years. The mean weight of males was 68.4 kg, while the mean weight of females was 59.8 kg. Statistically significant decrease in serum levels of interleukin-6, D-dimer, and ferritin after 7 days of dexamethasone treatment along with standard treatment protocol of ICMR was observed. The results were found to be significantly different with p-values=0.001, 0.003 and 0.002, respectively. Conclusion: Dexamethasone, as an adjunct drug, is an important corticosteroid that is efficient in countering the inflammatory response generated in COVID-19 patients along with standard treatment protocol of ICMR. It reduces the inflammatory markers in patients suffering from COVID-19.

9.
Indian Journal of Medical Microbiology ; 39:S68, 2021.
Article in English | EMBASE | ID: covidwho-1734500

ABSTRACT

Background:COVID-19 is a respiratory disease caused by novel coronavirus SARS CoV -2 and has been declared as pan- demic by WHO. The timely detection of cases and their contacts is crucial to help curtail the pandemic. Introduction of antigen based RDT has been able to bridge the time gap of detection and tracing as these tests are timely and easy to perform. However the real world performance of these assays is uncertain and the sensitivity of the test is claimed to be between 50% to 87%. This study was conducted to evaluate the currently used antigen -based RDT for the detection of SARS CoV-2 virus in respiratory specimens. Methods:This prospective study included patients who were seeking healthcare in Ophthalmology department for eye ailments and were subjected to SARS CoV-2 antigen based RDT. Regardless of results of RDT, nasopharyngeal swabs were collected from these patients and were tested for SARS CoV-2 RNA by real-time RT PCR using commercial assay (SD Biosensor). The evaluation of antigen-based RDT for the detection of SARS CoV-2 virus was performed with real time RT-PCR as gold standard. Results:A total of 564 patients were tested by both antigen based RDT and real time RT -PCR. The antigen based RDT exhibited analytical sensitivity and specificity of 37.5% and 99.79% respectively. Positive predictive value and negative predictive value of RDT were 96.4% and 91.6% respectively. Negative correlation was found between antigens based RDT’s positivity and Ct values of E and RdRp genes. Conclusions:Overall poor sensitivity of RDT does not allow adopting it as point of care test in screening for COVID -19 and it only serves as an additional test to RT-PCR because of potential false negative results.

10.
2nd International Conference on Communication, Computing and Industry 4.0, C2I4 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1713976

ABSTRACT

In the pandemic of Coronavirus disease 2019 (Covid-19), lung diseases are the leading cause of death worldwide. Among these diseases, pneumonia is the largest infectious disease caused by bacteria, viruses (including coronavirus) that collapses alveoli present in the lungs. Most effective and economic modality for diagnosing it is Chest X-Ray (CXR) imaging. In this paper we have proposed a scratch Convolutional Neural Network (CNN) 13 layers model for detecting pneumonia from CXR images. We have evaluated proposed CNN-13 model on pneumonia and normal CXR image dataset which is freely available on website of Kaggle. After simulation, the proposed CNN-13 model attained results with training and testing accuracy of 98.51% and 96.7% respectively. Metrics log loss and Area Under the Curve (AUC) scored 0.0371 and 0.9984 on training set and 0.1285 and 0.9819 on testing set respectively. © 2021 IEEE.

12.
EuropePMC;
Preprint in English | EuropePMC | ID: ppcovidwho-327688

ABSTRACT

Introduction Estimating COVID-19 cumulative incidence in Africa remains problematic due to challenges in contact tracing, routine surveillance systems and laboratory testing capacities and strategies. We undertook a meta-analysis of population-based seroprevalence studies to estimate SARS-CoV-2 seroprevalence in Africa to inform evidence-based decision making on Public Health and Social Measures (PHSM) and vaccine strategy. Methods We searched for seroprevalence studies conducted in Africa published 01-01-2020 to 30-12-2021 in Medline, Embase, Web of Science, and Europe PMC (preprints), grey literature, media releases and early results from WHO Unity studies. All studies were screened, extracted, assessed for risk of bias and evaluated for alignment with the WHO Unity protocol for seroepidemiological investigations. We conducted descriptive analyses of seroprevalence and meta-analysed seroprevalence differences by demographic groups, place and time. We estimated the extent of undetected infections by comparing seroprevalence and cumulative incidence of confirmed cases reported to WHO. PROSPERO: CRD42020183634. Results We identified 54 full texts or early results, reporting 151 distinct seroprevalence studies in Africa Of these, 95 (63%) were low/moderate risk of bias studies. SARS-CoV-2 seroprevalence rose from 3.0% [95% CI: 1.0-9.2%] in Q2 2020 to 65.1% [95% CI: 56.3-73.0%] in Q3 2021. The ratios of seroprevalence from infection to cumulative incidence of confirmed cases was large (overall: 97:1, ranging from 10:1 to 958:1) and steady over time. Seroprevalence was highly heterogeneous both within countries - urban vs. rural (lower seroprevalence for rural geographic areas), children vs. adults (children aged 0-9 years had the lowest seroprevalence) - and between countries and African sub-regions (Middle, Western and Eastern Africa associated with higher seroprevalence). Conclusion We report high seroprevalence in Africa suggesting greater population exposure to SARS-CoV-2 and protection against COVID-19 disease than indicated by surveillance data. As seroprevalence was heterogeneous, targeted PHSM and vaccination strategies need to be tailored to local epidemiological situations.

13.
Bergeri, I.; Whelan, M.; Ware, H.; Subissi, L.; Nardone, A.; Lewis, H. C.; Li, Z.; Ma, X.; Valenciano, M.; Cheng, B.; Ariqi, L. A.; Rashidian, A.; Okeibunor, J.; Azim, T.; Wijesinghe, P.; Le, L. V.; Vaughan, A.; Pebody, R.; Vicari, A.; Yan, T.; Yanes-Lane, M.; Cao, C.; Cheng, M. P.; Papenburg, J.; Buckeridge, D.; Bobrovitz, N.; Arora, R. K.; van Kerkhove, M. D.; Al-Shoteri, S.; Aly, E. A.; Audu, R. A.; Barakat, A.; Bin-Ghouth, A. S.; Birru, E.; Bokonjic, D.; Bolotin, S.; Boucher, E. L.; Catovic-Baralija, E.; Ceban, A.; Chauma-Mwale, A.; Chimeddorj, B.; Chung, P. S.; Clifton, D.; Dabakuyo-Yonli, T. S.; Deveaux, G. R.; Diop, B.; Dokubo, E. K.; Donnici, C.; Duarte, N.; Duarte, N. A.; Evans, T. G.; Fairlie, L.; Freidl, G. S.; Harris, T. G.; Herring, B. L.; Iamsirithaworn, S.; Ila, R.; Ilincic, N.; Ilori, E. A.; Inbanathan, F. Y.; Indenbaum, V.; Kaldor, J.; Kim, D.; Kolawole, O. M.; Kondwani, J. C.; Kuchuk, T.; Lalwani, P. J.; Laman, M.; Lavu, E.; Leite, J.; Liu, M.; Loeschnik, E.; Macartney, K.; Machalek, D. A.; Makiala-Mandanda, S.; Mallet, H. P.; Mapira, P.; Mawien, P. N.; Misra, P.; Musa, S.; Mutevedzi, P. C.; Najjar, O. A.; Nakphook, S.; Noel, K. C.; Nurmatov, Z.; Ome-Kaius, M.; Paudel, K. P.; Perlman-Arrow, S.; Qaddomi, S. E.; Quan, H.; Rady, A.; Rahim, H. P.; Rayyan, I. Y.; Rodriguez, A.; Sachathep, K.; Segal, M.; Selemon, A.; Shirin, T.; Stafford, K. A.; Steinhardt, L.; Tran, V.; Traore, I. T.; Wahyono, T. Y. M.; Williamson, T.; Wood, N.; Yansouni, C. P.; Zhang, C.; Lin, C. Z..
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326828

ABSTRACT

Background COVID-19 case data underestimates infection and immunity, especially in low- and middle-income countries (LMICs). We meta-analyzed standardized SARS-CoV-2 seroprevalence studies to estimate global seroprevalence. Objectives/Methods We conducted a systematic review and meta-analysis, searching MEDLINE, Embase, Web of Science, preprints, and grey literature for SARS-CoV-2 seroprevalence studies aligned with the WHO UNITY protocol published between 2020-01-01 and 2021-10-29. Eligible studies were extracted and critically appraised in duplicate. We meta-analyzed seroprevalence by country and month, pooling to estimate regional and global seroprevalence over time;compared seroprevalence from infection to confirmed cases to estimate under-ascertainment;meta-analyzed differences in seroprevalence between demographic subgroups;and identified national factors associated with seroprevalence using meta-regression. PROSPERO: CRD42020183634. Results We identified 396 full texts reporting 736 distinct seroprevalence studies (41% LMIC), including 355 low/moderate risk of bias studies with national/sub-national scope in further analysis. By April 2021, global SARS-CoV-2 seroprevalence was 26.1%, 95% CI [24.6-27.6%]. Seroprevalence rose steeply in the first half of 2021 due to infection in some regions (e.g., 18.2% to 45.9% in Africa) and vaccination and infection in others (e.g., 11.3% to 57.4% in the Americas high-income countries), but remained low in others (e.g., 0.3% to 1.6% in the Western Pacific). In 2021 Q1, median seroprevalence to case ratios were 1.9:1 in HICs and 61.9:1 in LMICs. Children 0-9 years and adults 60+ were at lower risk of seropositivity than adults 20-29. In a multivariate model using data pre-vaccination, more stringent public health and social measures were associated with lower seroprevalence. Conclusions Global seroprevalence has risen considerably over time and with regional variation, however much of the global population remains susceptible to SARS-CoV-2 infection. True infections far exceed reported COVID-19 cases. Standardized seroprevalence studies are essential to inform COVID-19 control measures, particularly in resource-limited regions.

14.
Circulation ; 144(SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1637348

ABSTRACT

Background: The virus responsible for COVID-19 enters human cells by binding angiotensinconverting enzyme 2. The influence of renin-angiotensin-aldosterone system (RAAS) inhibitors, including angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARBs), remains uncertain. Aim: To examine the role of ACEi / ARB exposure on outcomes in COVID-19 patients with preexisting hypertension (HTN) admitted to intensive care units (ICU). Methods: The COVID-19 Critical Care Consortium is a prospective, observational cohort study of patients requiring ICU admission for active COVID-19 spanning 354 participating sites in 54 countries. Patients >18 years old with pre-existing HTN requiring antihypertensive therapy were analysed. Length of stay and in-hospital mortality to 90 days post ICU admission were analysed as time-to-eventoutcomes by multistate survival analysis, and the influence of ACEi / ARB use on the hazards of death and discharge by multi-state Cox proportional hazard modelling and sensitivity analysis. Results: From December 1, 2019 through December 30, 2020, 663 eligible patients were registered. Of these, 480 patients had received ACEi and / or ARB therapy (median age 65 years, 67% male) in the 2 weeks before ICU admission, while 183 had not (66 years, 61% male). Average lengths of ICU and general ward stays were longer in the ACEi / ARB than non-ACEi / ARB group (20.8 days and 6.5 days vs. 15.5 and 6.0 days, respectively). ACEi / ARB use was associated with a decreased hazard of death (HR, 0.69, 95% CI, 0.54 -0.88) that persisted after adjusting for propensity scores (0.67, 0.53 -0.86). Cumulative probabilities (unadjusted for baseline characteristics) for death and discharge post ICU admission are depicted in the figure for ACEi/ARB (red) and non-ACEi / ARB (blue) patients. Conclusions: In 663 critically ill COVID-19 patients with pre-existing HTN, RAAS inhibition pre-ICU admission was linked to reduced in-hospital mortality.

15.
Transnational Marketing Journal ; 9(3):553-561, 2021.
Article in English | Scopus | ID: covidwho-1626551

ABSTRACT

The aim behind this research paper is to understand Impact of Digital Marketing during COVID 19 Pandemic on consumer buying decision. This research paper also confers about the four variables of digital marketing which are affecting the buying decision of the consumer. Both primary and secondary data has been collected for the current study. Data from primary sources collected through personal interviews, discussions with industry leaders and structured questionnaire. The research was also carried out on secondary sources like business journals, newspapers, magazines, periodicals, etc. SPSS 21 software has been used to analyse the data and linear regression analysis and multiple linear regression analysis techniques were used to determine the impact of each variable of digital marketing in influencing the buying decision making of the consumers. Findings of this research study determine the consistency of the independent variables, description of the product, pricing, marketing and promotions and distribution of the product on consumer buying decision. The following variables i.e.description of the product, marketing & promotions and distribution of the product has high significant impact on consumer buying decision. © 2021. Transnational Press London. All Rights Reserved.

16.
Egyptian Journal of Radiology and Nuclear Medicine ; 52(1), 2021.
Article in English | EMBASE | ID: covidwho-1457962

ABSTRACT

Background: High-resolution computed tomography (HRCT) chest becomes a valuable diagnostic tool for identifying patients infected with Coronavirus Disease 2019 (COVID-19) in the early stage, where patients may be asymptomatic or with non-specific pulmonary symptoms. An early diagnosis of COVID-19 is of utmost importance, so that patients can be isolated and treated in time, eventually preventing spread of the disease, improving the prognosis and reducing the mortality. In this paper, we have highlighted our radiological experience of dealing with the pandemic crisis of 2020 through the study of HRCT thorax, lung ultrasonography, chest X-rays and artificial intelligence (AI). Results: Results of CT thorax analysis have been given in detail. We had also compared CT severity score (CTSS) with clinical and laboratory parameters. Correlation of CTSS with SpO2 values and comorbidities was also studied. We also analysed manual CTSS with the CTSS scored calculated by the AI software. Conclusions: CTSS and use of COVID-19 Reporting and Data System (CORADS) result in accuracy and uniform percolation of information among the clinicians. Bed-side X-rays and ultrasonography have played a role where the patients could not be shifted for CT scan. The possibility of predicting impending or progression of hypoxia was not possible when SpO2 mapping was correlated with the CTSS. AI was alternatively tried with available software (CT pneumonia analysis) which was not so appropriate considering the imaging patterns in the bulk of atypical category.

17.
20th International Conference on Hybrid Intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired Computing, NaBIC 2020 ; 1375 AIST:358-364, 2021.
Article in English | Scopus | ID: covidwho-1245558

ABSTRACT

COVID-19 pandemic is proving to be one of the biggest challenges faced by the world. Different safety measures are being taken by the governments such as lockdowns and mandatory application of face mask. Wearing a face mask is one of most efficacious methods of prevention according to the World Health Organisation (WHO). In this paper, a convolutional neural network model has been proposed which identifies whether a person is wearing a face mask or not. The model uses the robust TensorFlow library to work constructively. The model has been trained on an image dataset consisting of 3835 images where 1916 images are with face masks and 1919 images are of people without face mask. The images in the dataset has been collected from Bing Search API, Kaggle Datasets and RMFD Datasets. The proposed Deep Learning model gave an accuracy of 97.98% when trained on TensorFlow cpu 2.3.0 © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

18.
International Journal of Gynecological Cancer ; 30(SUPPL 3):A88, 2020.
Article in English | EMBASE | ID: covidwho-1177567

ABSTRACT

Introduction Acute abdominal pain is a rare presentation of the coronavirus disease 2019 (COVID-19). The effect on the gynaecological tract is not well known. We present a COVID- 19 case admitted with abdominal pain and diagnosed to have ovarian cancer. Methods Clinical details were retrieved using electronic health record system. COVID-19 PCR swab test was performed using the Real-time SARS-CoV-2 Assay. Hematoxylin-Eosin, Martius Scarlett Blue stains, C3 and C4d immunohistochemical stains and RNAscope test were performed on the tube, ovary and omental tissue. Results A 46 yr old known asthmatic presented to the emergency department with acute abdominal pain. On examination, she was febrile with a tender abdomen. Chest X-Ray showed bilateral patchy lower zone opacification. Abdominal ultrasound scan revealed a 151 × 148 × 55 mm pelvic mass. COVID-19 swab test requested just prior to the surgery came back positive. She had increased C-reactive protein with normal blood coagulation parameters. She underwent emergency unilateral salpingo-oopherectomy with omentectomy. Pathology revealed a high grade serous ovarian adenocarcinoma. Immunohistochemistry showed a linear pattern of C4d complement localized to omental capillary endothelial cells. C3 stain was negative. Martius Scarlett Blue stain did not show microthrombi. RNAscope failed to reveal coronavirus in the tissue. Conclusion Our case contributes to the knowledge of atypical Covid-19 presentations. Complement split product C4d is a known pathological marker of antibody mediated rejection. While the presentation of ovarian cancer as acute abdomen could be co-incidental, C4d complement deposition in our case may suggest its role in COVID 19 pathogenesis.

19.
Studies in Systems, Decision and Control ; 324:107-119, 2021.
Article in English | Scopus | ID: covidwho-1130686

ABSTRACT

Recently, coronavirus disease 2019 (COVID-19) has become a prevalent threat for the human life all over the world. The propagation of this virus is very fast, and due to its contagious nature, it is infecting millions of people globally. Scientists and researchers are continuously working to find out the ways, i.e., medicine/vaccine for its cure. In the current scenario, spreading awareness regarding detection and prevention of this pandemic can save numerous lives in whole community. In this context, applications of artificial intelligence (AI) and Internet of Things (IoT) techniques could be a boon to mankind, as they can help in prevention, detection, forecasting, mortality risk of patients and remote operation of curing devices like ventilators, drone sanitization/surveillance, resource management, etc. In the present study, all possible applications of AI technology, viz., collection of infected blood samples, detection of virus, forecasting, etc., have been undertaken. Furthermore, the relevance of IoT in terms of monitoring and controlling electrical and mechanical devices for the cure of COVID-19, communication of interconnecting devices, and supervision of curing appliances has been reviewed here. The use of various AI and machine learning (ML) algorithms in view of detecting the most threatening symptoms and features of this dangerous virus has been demonstrated in the present work. This will significantly enhance the lifesaving probability of human beings and can help in exploring the new methods of prevention and detection of COVID-19. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

20.
Annals of Tropical Medicine and Public Health ; 23(21), 2020.
Article in English | EMBASE | ID: covidwho-1111005

ABSTRACT

Telecommuting as a substitute to conventional arrangements by which workforces achieve their work purposes during COVID-19 outbreak. Telecommuting is the practice of telecommunication expertise to permit personnel to accomplish their work responsibilities distantly, detached from their main place of work consistent with job arrangements. It’s a virtuous impression to comprehend the significance, paramount practices and possible wellbeing hazards tangled. As organisations around the globe are obligatory to telecommute amidst the COVID-19 pandemic, numerous employees are struggling with the idea of working from home for comprehensive stages of lockdown periods. Before 2020, telecommuting for all the employees was viewed as unsociable nightmare. Currently, it's the prevailing trend of most organisations. This research paper is an attempt to find out the issues, challenges and opportunities of telecommuting in the era of Covid-19.

SELECTION OF CITATIONS
SEARCH DETAIL