Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 53
Filter
1.
Medical Mycology ; 60(Supplement 1):83-84, 2022.
Article in English | EMBASE | ID: covidwho-2189360

ABSTRACT

Background: Mucormycosis is a deadly fungal infection that emerges in patients affected with COVID-19. All fungal illnesses are caused by dysregulated adaptive immunity, but Myeloid-derived suppressor cells (MDSC) have added a new di-mension to the chronic inflammatory response. Objective(s): We attempted to enumerate the MDSC immune response in rhino-orbital mucormycosis patients before and after treatment and compared the data with healthy control. Method(s): A total of 3 ml of blood samples were taken in an EDTA vial from 20 patients with mucormycosis and 20 age-matched healthy control. A second blood sample was collected to examine the immune system post three months of treatment. Mycological identification was performed on nasal crust retrieved aftersurgery using KOH/culture.The expression of the MDSC marker was analyzed by immunostaining with the antibodies against CD14, HLA-DR, CD11b, CD33, CD66 (Biolegend). Flu-orescence profiles were recorded by Flow Cytometer (BD FACSAria TM III) and analyzed by Flow Jo s oftware (BD Biosciences). The percentage of positive cells is used to express the results.The GraphPad Prism (version 8, GraphPad s oftware, LaJolla, CA, USA) was used to analyze the data. All of the results were considered significant when P <.05. Result(s): All of the patients tested positive for Rhizopus arrhizus, which was confirmed by the culture. The percentages of Monocytic-MDSC (mMDSC: CD14 + HLA-DR-/low) cells were significantly high in patients compared to healthy control. In post-3-month treatment, the percentages of mMDSC were found significantly low and comparable with healthy control. Granulocytic MDSC (gMDSC: HLA-DR-/low CD33 + CD11b + CD66 +) cell population was higher in patients compared with healthy control and patients with post-3-month treatment. Conclusion(s): MDSC regulates T cells and other immune cells with a different mode of action. The findings in this study imminently indicatethe mechanism of immunedysregulation involvingMDSCpathways inmucormycosis andprovide evidence that restoration of immune balance causes reduction of MDSCcells may be considered a therapeutic option for long-term benefit.

2.
Indian Journal of Agricultural Sciences ; 92(4):469-473, 2022.
Article in English | Web of Science | ID: covidwho-2207231

ABSTRACT

To critically assess the performance of micro and small foodpreneurs during COVID-19 pandemic in Manipur state of India, an online survey was conducted during the year 2020. The survey data was subjected to non-parametric statistical analysis using PROC NPAR1WAY and Dwass, Steel, Critchlow-Ffigner multiple comparison analysis. The findings suggested that during COVID-19 pandemic, the micro and small foodpreneurs faced multifaceted challenges with respect to the number of employees, working hours, supply of raw material, selling mode, production, sale, turnover and the extent of loss, etc. The performance of different categories of foodpreneurs was compared based on the change in various performance indicators between pre-pandemic and pandemic period. The study also highlights the major problems faced by the foodpreneurs and remedial measures. This is the first report on the impact of COVID-19 pandemic on foodpreneurs from North East India.

3.
Medical Mycology ; 60(SUPP 1):83-83, 2022.
Article in English | Web of Science | ID: covidwho-2123087
4.
National Journal of Community Medicine ; 13(9):642-650, 2022.
Article in English | Scopus | ID: covidwho-2091797

ABSTRACT

Purpose: The present study analyzed the existing literature related to COVID 19 and Mental Health by using the technique of bibliometric analysis which may serve as guide-map for future researchers and policy makers. Method: Bibliometric analysis is conducted in the present study by using various techniques like citation analysis, co-citation analysis, co-occurrence of keywords, thematic mapping by using visualization of similarities (VOS) viewer open-source software and R-based bibliometrix. Results: The study highlighted the most significant journals, authors, co-cited authors, institutions, keywords co-occurrence, and most cited articles in the area of COVID-19 and Mental Health on the basis of bibliometric analysis of 149 studies taken from the database of Scopus for the past three years (2020– first quarter of 2022). Also, authors identified few relevant themes such as Economic Effects of COVID-19, COVID-19 and its Impact on Healthcare workers, COVID-19 and its Impact on Patients and General Population as important emerging key areas for further research. Conclusion: We have highlighted significant citations, co-citations and keywords co-occurrence to summarize the literature. The present bibliometric study convincingly confirms the effect of COVID 19 pandemic on mental health and provides enough evidence to advocate formulation of strategies to tackle mental health issues. © 2022, MedSci Publications. All rights reserved.

5.
Indian Journal of Community Health ; 34(3):435-438, 2022.
Article in English | Scopus | ID: covidwho-2081600

ABSTRACT

With the emergence of pandemic, health sector has been facing innumerable challenges right from prevention to management of COVID-19. This study attempts to understand these factors from a local perspective that will help in better planning and management of situation for the future. Karnataka was one of the 8 states selected as part of a multisectoral qualitative study. Perspectives of frontline managers regarding the management of COVID 19 pandemic situation were taken by in depth interviews. Deductive thematic analysis from the audio recordings and transcripts showed public apprehensions, gaps in decentralized approach and specific guidelines, monitoring difficulties and workforce related issues as factors of concern. © 2022, Indian Association of Preventive and Social Medicine. All rights reserved.

6.
Pakistan Heart Journal ; 55(3):266-273, 2022.
Article in English | Web of Science | ID: covidwho-2072513

ABSTRACT

Objectives: This study describes three surges of COVID-19 hypoxemic respiratory failure and our experience with using iCPAP in patients with cardiovascular diseases at a tertiary cardiac care centre. Methodology: This observational study was conducted from March 23rd 2020 to May 31st 2021, analysis of data from the PRICE Network Registry. Data was collected for all adult patients with cardiovascular diseases admitted with acute hypoxemic respiratory failure and a confirmed Results: Among 362 patients with 'severe' or 'critical' COVID-19 were hospitalized;163 (45%) in the 1st surge, 92 (25.4%) in the 2nd and 107 (29.6 %) in the 3rd surge. All-cause mortality was 118 (32.6%). iCPAP was used in 39% (141) patients, 19% (69) patients required oxygen only, 25.4% (92) were on BiPAP support and 16.6% (60) were intubated. 'iCPAP failure' occurred in 48/141 (34%) patients. iCPAP failure occurred in patients with higher APACHE II scores (16.3 +/- 5.7 v/s 21.3 +/- 6, p <= 0.001), lower ROX index on admission (5.0 +/- 2.2 vs. 10.4 +/- 5.4, p <= 0.001), lesser degree of improvement in ROX index at 48 hours (Day 3 ROX 18.7 +/- 8.9 vs. 9.9 +/- 6.3, p <= 0.001). Mortality rate on iCPAP was 44 (31.2%). Conclusion: COVID-19 outcomes in a resource-limited setting in patients having cardiovascular diseases, appear comparable to global reports. A modification of standard CPAP (iCPAP) appeared to be safe and effective. This modification of standard CPAP (iCPAP) identifies an option for resource-limited or resource-exhausted critical care units.

7.
Main Group Chemistry ; 21(3):875-883, 2022.
Article in English | Web of Science | ID: covidwho-2071056

ABSTRACT

This work was performed to examine an idea about full chelation of Iron (Fe) by well-known favipiravir (Fav) as a possible mechanism of action for medication of COVID-19 patients. To this aim, formations of Fe- mediated dimers of Fav were investigated by performing density functional theory (DFT) computations of electronic and structural features for singular and dimer models. The results indicated that the models of dimers were suitable for formation, in which two cis (D1) and trans (D2) models were obtained regarding the configurations of two Fav counterparts towards each other. Energy results indicated that formation of D1 was slightly more favorable than formation of D2. Molecular orbital features affirmed hypothesized interacting sites of Fav for Fe-mediated dimers formations, in which atomic charges and other molecular orbital related representations affirmed such achievements. Moreover, detection of such dimer formation was also possible by monitoring variations of molecular orbitals features. As a consequence, formations of Fe-mediated dimers of Fav could be achievable for possible removal of excess of Fe as a proposed mechanism of action for Fav in medication of COVID-19 patients.

8.
Med Mycol ; 60(Suppl 1), 2022.
Article in English | PMC | ID: covidwho-2042590

ABSTRACT

 : Poster session 1, September 21, 2022, 12:30 PM - 1:30 PM Background: Mucormycosis is a deadly fungal infection that emerges in patients affected with COVID-19. All fungal illnesses are caused by dysregulated adaptive immunity, but Myeloid-derived suppressor cells (MDSC) have added a new dimension to the chronic inflammatory response. Objective: We attempted to enumerate the MDSC immune response in rhino-orbital mucormycosis patients before and after treatment and compared the data with healthy control. Methods: A total of 3 ml of blood samples were taken in an EDTA vial from 20 patients with mucormycosis and 20 age-matched healthy control. A second blood sample was collected to examine the immune system post three months of treatment. Mycological identification was performed on nasal crust retrieved after surgery using KOH/culture. The expression of the MDSC marker was analyzed by immunostaining with the antibodies against CD14, HLA-DR, CD11b, CD33, CD66 (Biolegend). Fluorescence profiles were recorded by Flow Cytometer (BD FACSAria™ III) and analyzed by Flow Jo software (BD Biosciences). The percentage of positive cells is used to express the results. The GraphPad Prism (version 8, GraphPad software, LaJolla, CA, USA) was used to analyze the data. All of the results were considered significant when P <.05. Results: All of the patients tested positive for Rhizopus arrhizus, which was confirmed by the culture. The percentages of Monocytic-MDSC (mMDSC: CD14 + HLA-DR-/low) cells were significantly high in patients compared to healthy control. In post-3-month treatment, the percentages of mMDSC were found significantly low and comparable with healthy control. Granulocytic MDSC (gMDSC: HLA-DR-/low CD33 + CD11b + CD66+) cell population was higher in patients compared with healthy control and patients with post-3-month treatment. Conclusion: MDSC regulates T cells and other immune cells with a different mode of action. The findings in this study imminently indicate the mechanism of immune dysregulation involving MDSC pathways in mucormycosis and provide evidence that restoration of immune balance causes reduction of MDSC cells may be considered a therapeutic option for long-term benefit.

9.
Med Mycol ; 60(Suppl 1), 2022.
Article in English | PMC | ID: covidwho-2042589

ABSTRACT

 : Poster session 1, September 21, 2022, 12:30 PM - 1:30 PM Objectives: To study the IL-23R (Th17) and CD25+ (Treg) in CD4 + T cell populations in rhino-orbital mucormycosis post-COVID-19 patients and in healthy controls. Methods: The study included 20 cases of mucormycosis and 20 healthy controls. Nasal crust, collected post-surgery was subjected to KOH/culture for mycological identification. Venous blood sample (3 ml) was collected in EDTA vials from cases and controls and stained with different monoclonal antibodies such as CD3, CD4, CD25, and IL-23R for analyzing the expression of Th17 and Treg cells by flow cytometry. The assays were performed at the time of enrolment of patients and repeat blood samples were taken from each patient for staining 3 months later after treatment prescribed by Otorhinolaryngologists. Statistical analysis was done using SPSS software and the P-value ≤ .05 considered as significant. All the data are expressed as the mean ± SD. Results: All the cases were found positive by KOH and confirmed for Rhizopus arrhizus by culture.The flow cytometry analysis showed that the percentage of CD4 + IL-23R+ (Th17) cells was significantly high in patient before treatment compared to healthy controls and found to be lower post 3 months of antifungal treatment. The percentage positivity of CD4 + CD25+ (Tregs) cells was decreased in patients (before treatment) as compared to controls and after treatment groups. The percentage positivity of CD4 + CD25 + cells was significantly increased in patients after treatment. Conclusion: We observed a noticeable immune imbalance, with elevated CD4 + IL-23R Th17 and diminished CD4 + CD25 + T regulatory cells. The findings imminently indicate the mechanism of immune dysregulation involving Th17 and Treg pathways in mucormycosis and provide evidence that restoration of Th17/Treg may be considered as a therapeutic option for long-term benefit. Recovery of CD4 + CD25 + T cells after treatment indicated a favorable phenotype outcome.

10.
IEEE Access ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-1992568

ABSTRACT

Tuberculosis (TB) is a communicable pulmonary disorder and countries with low and middle-income share a higher TB burden as compared to others. The year 2020-2021 universally saw a brutal pandemic in the form of COVID-19, that crushed various lives, health infrastructures, programs, and economies worldwide at an unprecedented speed. The gravity of this estimation gets intensified in systems with limited technological advancements. To assist in the identification of tuberculosis, we propose the ensembling of efficient deep convolutional networks and machine learning algorithms that do not entail heavy computational resources. In this paper, the three of the most efficient deep convolutional networks and machine learning algorithms are employed for resource-effective (low computational and basic Imaging requirements) detection of Tuberculosis. The pivotal features extracted from the deep networks are ensembled and subsequently, the machine learning algorithms are used to identify the images based on the extracted features. The said model underwent k-fold cross-validation and achieved an accuracy of 87.90% and 99.10% with an AUC of 0.94 and 1 respectively in identifying TB infected images from Normal and COVID infected images. Also, the model’s error rate, F-score, and youden’s index values of 0.0093, 0.9901, and 0.9812 for TB versus COVID identification along with the model’s accuracy claim that its use can be beneficial in identifying TB infections amid this COVID-19 pandemic, predominantly in countries with limited resources. Author

11.
Immunohematology ; 38(1): 5-12, 2022 Apr 29.
Article in English | MEDLINE | ID: covidwho-1955264

ABSTRACT

The relationship between ABO blood group and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 - coronavirus disease 19 [COVID-19]) infection has been investigated, and several studies have reported discordant findings. This systematic review and meta-analysis study were conducted to investigate the relationship between ABO blood group and COVID-19 infection. The international databases Institute for Scientific Information (ISI)/Web of Science, PubMed, and Scopus were systematically searched from 1 January 2020 through 14 June 2021. Twenty-seven studies met the inclusion criteria for meta-analysis including 23,285 COVID-19 case subjects and 590,593 control subjects. The odds of having each blood group among COVID-19 patients compared with control subjects were calculated. The random effects model was used to obtain the overall pooled odds ratio (OR). Publication bias and subgroup and sensitivity analyses were performed to explore the source of heterogeneity. According to the random effects model, the results indicated that the pooled estimates of OR (95% confidence interval) for blood groups A, O, B, and AB were 1.26 (1.13-1.40), 0.77 (0.71-0.82), 1.05 (0.99-1.12), and 1.11 (0.99-1.25), respectively. Therefore, individuals infected with COVID-19 have higher odds of having blood group A and lower odds of having blood group O. In conclusion, this study indicated that individuals with blood group A are more susceptible to COVID-19 infection, whereas those with blood group O are less susceptible to COVID-19 infection. However, further studies are warranted to support these findings.


Subject(s)
COVID-19 , ABO Blood-Group System , Blood Grouping and Crossmatching , COVID-19/epidemiology , Humans , SARS-CoV-2
12.
Biomedical and Biotechnology Research Journal ; 6(2):261-265, 2022.
Article in English | Scopus | ID: covidwho-1924403

ABSTRACT

Background: Telemedicine has been used for cystic fibrosis (CF) in a wide range of signs and symptoms even before the COVID 19 pandemic, however, little is known about the health consequences and use of specific health care for cystic CF. This study aimed to evaluate the evolution of clinical trends and data related to mobile based monitoring activities in CF patients at home for 3 years. Methods: This is a semi experimental single group study. Forty five CF patients under 7 years' old who were referred to the Masih Daneshvari Hospital between 2018 and 2021 were selected. A mobile phone_based customized Short Message Service (SMS) application used to monitor patients. Remotely monitored variables included the amount and color of sputum, cough, wheezing, and shortness of breath at rest. SPSS using Chi square and Friedman tests. Results: The condition of patients based on the number and type of cough increased sputum, decreased appetite, fatty stool, fever and dyspnea, headache, noninvasive ventilation, and drug comfortably remained almost unchanged in the study of the 1st, 2nd, and 3rd years, and the studied parameters did not show a significant difference (P > 0.05). Of course, the number of outpatient visits decreased significantly (P value: 0.02). The respiratory rate and arterial oxygen saturation variables were almost the same in three consecutive annual measurements (P values: 0.544 and 0.639, respectively). Conclusion: Telemedicine is a method that is useful in the follow up of chronic diseases such as CF and improves the quality of life and reduces the deterioration of lung function;therefore, there is less need for invasive treatments in the long run, and a fundamental change in referral motivation brings to the hospital. © 2022 Biomedical and Biotechnology Research Journal. All rights reserved.

13.
Lancet Microbe ; 3(1): e21-e31, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1915218

ABSTRACT

BACKGROUND: Previous infection with SARS-CoV-2 affects the immune response to the first dose of the SARS-CoV-2 vaccine. We aimed to compare SARS-CoV-2-specific T-cell and antibody responses in health-care workers with and without previous SARS-CoV-2 infection following a single dose of the BNT162b2 (tozinameran; Pfizer-BioNTech) mRNA vaccine. METHODS: We sampled health-care workers enrolled in the PITCH study across four hospital sites in the UK (Oxford, Liverpool, Newcastle, and Sheffield). All health-care workers aged 18 years or older consenting to participate in this prospective cohort study were included, with no exclusion criteria applied. Blood samples were collected where possible before vaccination and 28 (±7) days following one or two doses (given 3-4 weeks apart) of the BNT162b2 vaccine. Previous infection was determined by a documented SARS-CoV-2-positive RT-PCR result or the presence of positive anti-SARS-CoV-2 nucleocapsid antibodies. We measured spike-specific IgG antibodies and quantified T-cell responses by interferon-γ enzyme-linked immunospot assay in all participants where samples were available at the time of analysis, comparing SARS-CoV-2-naive individuals to those with previous infection. FINDINGS: Between Dec 9, 2020, and Feb 9, 2021, 119 SARS-CoV-2-naive and 145 previously infected health-care workers received one dose, and 25 SARS-CoV-2-naive health-care workers received two doses, of the BNT162b2 vaccine. In previously infected health-care workers, the median time from previous infection to vaccination was 268 days (IQR 232-285). At 28 days (IQR 27-33) after a single dose, the spike-specific T-cell response measured in fresh peripheral blood mononuclear cells (PBMCs) was higher in previously infected (n=76) than in infection-naive (n=45) health-care workers (median 284 [IQR 150-461] vs 55 [IQR 24-132] spot-forming units [SFUs] per 106 PBMCs; p<0·0001). With cryopreserved PBMCs, the T-cell response in previously infected individuals (n=52) after one vaccine dose was equivalent to that of infection-naive individuals (n=19) after receiving two vaccine doses (median 152 [IQR 119-275] vs 162 [104-258] SFUs/106 PBMCs; p=1·00). Anti-spike IgG antibody responses following a single dose in 142 previously infected health-care workers (median 270 373 [IQR 203 461-535 188] antibody units [AU] per mL) were higher than in 111 infection-naive health-care workers following one dose (35 001 [17 099-55 341] AU/mL; p<0·0001) and higher than in 25 infection-naive individuals given two doses (180 904 [108 221-242 467] AU/mL; p<0·0001). INTERPRETATION: A single dose of the BNT162b2 vaccine is likely to provide greater protection against SARS-CoV-2 infection in individuals with previous SARS-CoV-2 infection, than in SARS-CoV-2-naive individuals, including against variants of concern. Future studies should determine the additional benefit of a second dose on the magnitude and durability of immune responses in individuals vaccinated following infection, alongside evaluation of the impact of extending the interval between vaccine doses. FUNDING: UK Department of Health and Social Care, and UK Coronavirus Immunology Consortium.


Subject(s)
COVID-19 , SARS-CoV-2 , Antibodies, Viral , Antibody Formation , COVID-19/prevention & control , COVID-19 Vaccines , Humans , Immunoglobulin G , Leukocytes, Mononuclear , Prospective Studies , T-Lymphocytes , United Kingdom/epidemiology , Vaccines, Synthetic
15.
4th International Conference on Communications and Cyber-Physical Engineering, ICCCE 2021 ; 828:1191-1197, 2022.
Article in English | Scopus | ID: covidwho-1877778

ABSTRACT

The world is reeling in the midst of the novel corona virus pandemic with fear of rising toll due to the deadly virus. This situation caused complete lockdown in many countries thus posing one of the biggest challenges to educational institutions and academicians to continue the teaching learning process involving students. E-learning system is very important to ensure successful delivery, effective use, and positive impacts on learners. In order to engage learners while at home as well as to utilise their time and complete syllabi, the process of teaching-learning and assessment need to be streamlined. However, while doing so, the institution should keep in mind various skills related as well as infrastructure related constraints on the part of school, teacher, student and parents. But, in reality, majority of the institutions are conducting online classes in urgency regardless of skill and experiences of concerned teachers and students. It is even more challenging when teachers and academicians alike are not well trained at technological tools for virtual/online classes. Students at large are also not acquainted with technologies and much help can’t be expected from their parents in this regard. The goal of this chapter is to investigate students’ opinions for virtual classes focusing on their learning and behaviour during COVID-19. The said study is validated through the student satisfaction survey involving directly students from different institutions. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

16.
Indian Journal of Agricultural Sciences ; 92(4):469-473, 2022.
Article in English | CAB Abstracts | ID: covidwho-1864084

ABSTRACT

To critically assess the performance of micro and small foodpreneurs during COVID-19 pandemic in Manipur state of India, an online survey was conducted during the year 2020. The survey data was subjected to non-parametric statistical analysis using PROC NPAR1WAY and Dwass, Steel, Critchlow-Fligner multiple comparison analysis. The findings suggested that during COVID-19 pandemic, the micro and small foodpreneurs faced multifaceted challenges with respect to the number of employees, working hours, supply of raw material, selling mode, production, sale, turnover and the extent of loss, etc. The performance of different categories of foodpreneurs was compared based on the change in various performance indicators between pre-pandemic and pandemic period. The study also highlights the major problems faced by the foodpreneurs and remedial measures. This is the first report on the impact of COVID-19 pandemic on foodpreneurs from North East India.

17.
Image Processing for Automated Diagnosis of Cardiac Diseases ; : 133-155, 2021.
Article in English | Scopus | ID: covidwho-1838469

ABSTRACT

Artificial intelligence (AI) has developed speedily since the late 1980s. Enhancement of medical datasets and outcomes in the last twenty years has resulted in unprecedented improvement in AI-based journals. In addition, with the introduction of unparalleled computational efficiency, the accessibility of AI tools has improved. There are two fundamental tools in AI. The first is machine learning (ML), where organized information like electrophysiology (EP), images, and genetic information are broken down and examined. The second is natural language processing (NLP), where unorganized information is scrutinized. These two AI tools have enhanced strategies, calculations, and applications. Different endeavors and new techniques of AI have been utilized for ailments like cardiovascular disease (CVD), neural disorders, and cancer, among others. Presently, a sophisticated deep learning (DL) technique has instigated exceptional growth of AI in clinical imaging diagnostic frameworks. Thus, this chapter presents pivotal and specialized information about AI-based techniques for predicting, diagnosing, and analyzing cardiac diseases. © 2021 Elsevier Inc. All rights reserved.

18.
19th IEEE International Conference on Dependable, Autonomic and Secure Computing, 19th IEEE International Conference on Pervasive Intelligence and Computing, 7th IEEE International Conference on Cloud and Big Data Computing and 2021 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2021 ; : 831-836, 2021.
Article in English | Scopus | ID: covidwho-1788644

ABSTRACT

Despite the COVID-19 vaccination drives, use of preventative measures such as masks and social distancing are still deemed essential. This paper presents an application that will allow businesses/enterprises to monitor the flow of customers by detecting people as objects, counting the number of people, tracking the safe distance between them to maintain the two-meter distance norm. The proposed solution is set up to generate an alarm when the customers reach the allowed limit as per shop dimensions or overcrowding is detected. For the implementation, YOLOv4 and YOLOv3-Tiny were used for the task of object detection and transfer learning is used to set up weights. The models were evaluated using MSCOCO API with 100 image instances per class. The results of the YOLOv4 model are also compared with YOLOv3-Tiny in terms of calculating mean, average precision (AP), frames per second (FPS), and identification of groups (crowd). Experimental results (on several video clips from a shopping center CCTV) show that the YOLOv3-Tiny maintains real-time performance even on modest hardware. It is further demonstrated that if a high-end GPU is available, the overall detection of objects and cluster identification is much more accurate and clearer using YOLOv4. © 2021 IEEE.

19.
2021 IEEE India Council International Subsections Conference, INDISCON 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1769640

ABSTRACT

Novel Corona-virus is spreading all over the world. Millions of people have been infected with this disease and unfortunately thousands have lost their lives. Countless others have experienced the impact of Covid-19 on their health as well as in their day-to-day life. For the past one and half year as of May - 2021, the world balance and the economics have changed. Entire workflow has been shifted online, with people continuing to face a lot of difficulties due to this sudden change. But there will be a moment when normalcy will be restored, businesses bereopened and all the offices as well as other institutions start functioning as normal. This will be the most vulnerable momentas people will come in contact with each other and hence there will be a danger of this disease spreading in mass again. Hence, a system needs to be adopted to curb its spread and this can be achieved by identifying people showing the symptoms and thereby preventing them from entering organizations with a lot of attendees. The proposed system implements mask and temperature detection, sanitation while also providing a touch- less Attendance Management system for taking the attendance. © 2021 IEEE

20.
Asian Pacific Journal of Tropical Medicine ; 15(2):95-96, 2022.
Article in English | Scopus | ID: covidwho-1760920
SELECTION OF CITATIONS
SEARCH DETAIL