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1.
Materials Today: Proceedings ; 2022.
Article in English | Scopus | ID: covidwho-2131825

ABSTRACT

This paper evaluates the need for corrugated boxes in the industry & the need for fast and efficient manufacturing of such boxes, even at a small scale. Nowadays, online shopping is increasing at a tremendous rate and with the advent of the corona pandemic, this rate has been increasing exponentially due to people's trust in packaged products. Corrugated boxes are lightweight, cost-effective, good shock absorbers, and help in keeping the product safe from contamination. With this project, we are manufacturing an automatic corrugated box- making line using PLC which will work at an efficient and fast pace, keeping the safety of people around at priority. The assembly line will consist of steps like pasting, punching and cutting using pneumatics, making all the steps work in a synchronized manner through the controlling feature of PLC. © 2022

2.
International Journal of Pharmaceutical Sciences Review and Research ; 76(2) (no pagination), 2022.
Article in English | EMBASE | ID: covidwho-2101075

ABSTRACT

COVID 19 vaccines shows good efficacy and safety in real world data. However clinical outcome in vaccinated persons is not widely known. This was a Questionnaire based study conducted between September 2021 to March 2022 after permission of IEC (Letter no. SNMC /IEC /2021 / 50). A Google doc based validated questionnaire (18 questions) was circulated through E mail/social media groups to individuals who became COVID infected in the past. The respondents who were fully vaccinated and completed 14 days duration after second dose of vaccination at time of infection serves as study group (Group I) while those who were unvaccinated at the time of infection serves as control group (Group II). Clinical course of disease was compared between two groups. A total of 517 previously COVID infected individuals had responded the questionnaire. Out of it, 108 respondents were either partially vaccinated or infected before completion of 14 days of second dose so they were excluded from the study. A total of 210 fully vaccinated respondents were included in study group (Group I) while 199 individuals who were unvaccinated at the time of infection serves as control group (Group II). Difficulty in breathing, need of hospital stay and post COVID complications were significantly less in vaccinated group in comparison to control group. As per survey findings, vaccination significantly reduces difficulty in breathing and need of hospital stay. A significant reduction in post COVID complications was also noted. So, vaccination remains the most effective way to reduce the severity of clinical course and better outcome of COVID 19 infection. Copyright © 2022, Global Research Online. All rights reserved.

3.
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.

4.
NeuroQuantology ; 20(10):7320-7335, 2022.
Article in English | EMBASE | ID: covidwho-2067315

ABSTRACT

As the threat of a coronavirus disease 2019 (COVID-19) pandemic subsides, governments throughout the world are dealing with epidemic concerns due to the occurrence of monkeypox cases in various areas. Previously limited to African countries, the majority of monkeypox cases associated with the 2022 epidemic have been recorded in countries throughout Europe and the Western Hemisphere. While multiple organisations are doing contact-tracing operations, it is still unclear how this outbreak began. Monkeypox virus is one of several zoonotic viruses in the Orthopoxvirus genus of the Poxviridae family. Following the universal abolition of smallpox in the 1970s, monkeypox outbreaks drew international attention.The smallpox immunisation provided immunity against the monkeypox virus. Monkeypox cases rose when smallpox vaccine was halted. It wasn't until the 2003 US pandemic that monkeypox became well known. The virus did not originate in monkeys, despite the name "monkeypox." Although other rodents and small animals have been recognised as the virus's origins, the precise origin of monkeypox is uncertain. The viral infection was originally observed in macaque monkeys, thus the term monkeypox. Although human-to-human transmission of monkeypox is exceedingly rare, it is usually associated with respiratory droplets or direct contact with infected people's mucocutaneous sores. There is presently no treatment available for infected people;however, supportive therapies can be utilised to relieve symptoms;drugs such as tecovirimat may be used in severe cases. Many therapy are subjective since there are no unambiguous guidelines for symptom relief.

5.
American Journal of Transplantation ; 22(Supplement 3):795-796, 2022.
Article in English | EMBASE | ID: covidwho-2063407

ABSTRACT

Purpose: Individuals considering living kidney donation face geographic, financial, and logistical challenges. Telemedicine has the potential to facilitate care delivery/ coordination for donors. We aimed to understand center practices and provider attitudes and perceived barriers of telemedicine services for living kidney donation. Method(s): We conducted a national survey of multidisciplinary providers from 194 U.S. active adult living donor kidney transplant centers in 2020. The survey was distributed with an online link from 2/18/2021 to 5/13/2021, and up to two reminders were provided. The target population included nephrologists, surgeons, nurse coordinators, social workers or independent living donor advocates, and psychiatrists or psychologists. We used descriptive statistics and analysis of variance. Result(s): Two hundred ninety-three providers from 128 unique centers responded to the survey, a center representation rate of 66.0%, reflecting 82.9% of U.S. practice by donor volume and 91.5% of U.S. states/territories. Most centers (70.3%) will continue using telemedicine beyond the COVID-19 pandemic. Video only was mostly used for donor evaluation by nephrologists, surgeons, psychiatrists or psychologists. Telephone and video were mostly used by social workers, while no mutual modality was used by coordinators. Vital signs and weight were obtained largely using self-reported measures or a local provider/primary care physician, and a physical exam was mostly completed at a subsequent in-person visit to the transplant center. Providers strongly agreed that telemedicine was convenient for donors and would improve the likelihood of completing donor evaluation for potential donors. These attitudes were consistent across provider roles (p>0.05). Providers were favorably disposed to use telemedicine beyond the pandemic for donor evaluation and followup care. Out-of-state licensing and reimbursements were key regulatory barriers. Conclusion(s): These findings help inform clinical practice and policy expanding telemedicine services to enhance access to living donation and may be extended to other medical specialties.

6.
Artificial Intelligence and Machine Learning for EDGE Computing ; : 267-277, 2022.
Article in English | Scopus | ID: covidwho-2060210

ABSTRACT

In early 2020, WHO declared COVID-19, a pandemic disease, which severely infected human inhabitant and health. Researchers, doctors, etc., are finding ways to combat the disease. RT-PCR testing is the initial type of testing that was used to detect whether a patient is COVID (+) or COVID (−).This test kit is costly and the result takes around 6hours. So testing a heavy chunk of the population with RT-PCR is a difficult task. To counter this, X-rays/CT scan-based testing can be used to detect COVID (+) cases to control its spread. X-rays are preferable to CT as they are cheaper and even produce low radiations. The second issue that was noticed during this pandemic period was the availability of doctors. To resolve this issue, a robust automated system for early prediction is essential. Automated systems using machine learning (ML), deep learning (DL) approaches are giving promising results in the detection of COVID (+) cases. In this chapter, we propose a framework for automatic recognition of COVID (+), normal, and pneumonia cases (i.e., multiclassification) over X-ray images. In the proposed method, a dataset of COVID (+), normal, and pneumonia images is used. Initially, the dataset is preprocessed, followed by feature extraction using gray level cooccurrence matrix (GLCM), gray level difference method (GLDM), wavelet transform (WT), and fast Fourier transform (FFT) methods. Features extracted are concatenated to construct a feature pool and these features are used for multiclassification using ML algorithms: support vector machines (SVM) and XG Boost. XG Boost performs better than SVM. © 2022 Elsevier Inc. All rights reserved.

7.
2022 Annual Modeling and Simulation Conference, ANNSIM 2022 ; : 126-139, 2022.
Article in English | Scopus | ID: covidwho-2056827

ABSTRACT

Organizations are struggling to ensure business continuity without compromising on delivery excellence in the face of Covid19 pandemic related uncertainties. The uncertainty exists along multiple dimensions such as virus mutations, infectivity and severity of new mutants, efficacy of vaccines against new mutants, waning of vaccine induced immunity over time, and lockdown / opening-up policies effected by city authorities. Moreover, this uncertainty plays out in a non-uniform manner across nations, states, cities, and even within the cities thus leading to highly heterogeneous evolution of pandemic. While Work From Home (WFH) strategy has served well to meet ever-increasing business demands without compromising on individual health safety, there has been an undeniable reduction in social capital. With Covid19 pandemic showing definite waning trends, organizations are considering the possibility of safe transition from WFH to Work From Office (WFO) or a hybrid mode of operation. An effective strategy needs to score equally well on possibly interfering dimensions such as risk of infection, project delivery, and employee wellness. As large organizations will typically have a large number of offices spread across a geography, the problem of arriving at office-specific strategies becomes non-trivial. Moreover, the strategies need to adapt over time to changes that cannot be deduced upfront. This calls for an approach that is amenable to quick and easy adaptation. Our contribution in this regard is constructing a Digital Twin by leveraging various modelling techniques to realistically represent the above mentioned aspects of interest that can be subjected to what-if scenario analysis. We further demonstrate its efficacy using a case study from a large organization. © 2022 SCS.

8.
Transplantation ; 106(8):85-86, 2022.
Article in English | EMBASE | ID: covidwho-2040801

ABSTRACT

Background: Traditionally, patients were kept intubated for 48 hours in the postoperative period. Living donor liver transplantation poses a different set of challenges. Most of the predictors mentioned in the literature were, low MELD, low BMI, and with stable comorbidities etc. for early extubation following living donor liver transplantation. We assessed the feasibility of fast tracking and early extubation in our patients, who were not fitting in those mentioned predictors in the literature. Methods: We present a case series of 6 patients who were fast tracked and extubated early, following living donor liver transplantation, out of 22 patients over the last 6 months. Results: All these patients were aged more than 45 yrs, with an average age of 55.8 yrs, average MELD score of 20.8, Child status C, some of our patients had cardio pulmonary comorbidities. patient 2, was COPD, post asymptomatic COVID, with CoRad score3 on HRCT, patient 5, was class 3 obese with no OSA, patient 6, had Hypertension, CAD- triple vessel disease, post CABG 7 yrs back, The intraoperative metabolic parameters like base excess and Lactates were showing good correction and all of them had very minimal inotropic support at the time of extubation, with Norepinephrine < 0.05mcg/kg/minutes. There was no post reperfusion hemodynamic instability or PRS in our patients, the average GRWR in our patients was 0.94, the mean anhepatic period, warm ischemia and cold ischemia times were pretty low. None of them had any significant postoperative complications. Conclusions: We propose, we can safely fast track and extubate early, following living donor liver transplantation with high MELD scores, and stable comorbidities. Further, large studies are needed to look for the feasibility of expanding the criteria for early extubation.

9.
Nanotechnological Applications in Virology ; : 1-351, 2022.
Article in English | Scopus | ID: covidwho-2035644

ABSTRACT

Nanotechnological Applications in Virology explores the use of nanoparticles-based technologies to fight against viruses, also discussing the use of nanoparticles in the preparation of nano masks and as sanitizing agents. The role of nanotechnology against HIV, Hepatitis, Influenza, Herpes, Ebola and Zika using rapid detection and diagnostic techniques is included, as is a brief description of SARS, MERS, the novel Coronavirus, and recent advancements in its treatment process. Other sections cover the formulation of novel nano-vaccines for the treatment and control of viral infections like HIV, Hepatitis and COVID-19. Included toxicological studies of nanoparticles provide readers with a brief overview on global scenarios regarding viral infections. Nanotechnology is the present age technology, with wide usage in different areas of medical science, including drug delivery, gene therapy, antimicrobials, biosensors and bio-labelling. Nanoparticles play a competent role as an anti-infection agent and thus act as efficient antiviral agents. © 2022 Elsevier Inc. All rights reserved.

10.
Nanotechnological Applications in Virology ; : 1-12, 2022.
Article in English | Scopus | ID: covidwho-2035626

ABSTRACT

Nanotechnology is the recent emerging technology in the field of therapeutics and diagnostics. Nanomaterials play a crucial role in diagnosis, drug delivery, drug formulations, and therapy to overcome several life-threatening diseases like diabetes, cancer, bacterial and fungal infections, neurodegenerative diseases, and AIDS. Viruses and viral infections are problematic due to their wide-spreading nature and also the ability to sustain the development through genetic mutation. In the last few decades, the cases of viral infections have severely increased including SARS severe acute respiratory syndrome (SARS), middle east respiratory syndrome (MERS), Nipah virus, Zika virus, dengue fever, and the recent global pandemic COVID-19. These episodes of viral epidemics have emerged unexpectedly and caused substantial damage to the social and economic structure of society. Due to the high mortality rate and global transmission capacity viral infections need immediate attention for the development of detection, treatment, and vaccination techniques. Nanoparticles due to their unique properties and smaller size offer a plethora of opportunities in the field of medical innovations. Nanotechnology-based therapeutic approaches and their drug delivery potential can essentially help in the diagnosis and therapy of virus-related infections. In the present chapter, we provide an overview of virus-related infections and nanotechnology-based solutions for the detection, drug delivery, and treatment of virus infections have been discussed. © 2022 Elsevier Inc. All rights reserved.

11.
Medical Journal of Dr. D.Y. Patil Vidyapeeth ; 15(7):S77-S83, 2022.
Article in English | Scopus | ID: covidwho-2024840

ABSTRACT

Aim: The aim of the study was to correlate environmental changes with coronavirus disease 2019 (COVID-19) cases in four metropolitan cities. Methodology: Data on monthly cumulative new cases, monthly average temperatures, humidity, precipitation, and average monthly air quality index (AQI) levels for the four Indian cities - Chennai, New Delhi, Mumbai, and Kolkata, and biomedical waste (BMW) quantity at national level were ed for the period from March 2020 to December 2020. Results: An inverse correlation was observed between temperature and transmission of the disease in New Delhi and Kolkata which was of fair degree for New Delhi (r = 0.299, P = 0.402) and poor for Kolkata (r = 0.200, P value = 0.579). Positive correlation of fair and poor degrees was observed between temperature and transmission of the disease in Mumbai (r = 0.272, P = 0.448) and Chennai (r = 0.196, P = 0.588), respectively. A positive correlation was observed between the transmission of the disease and humidity in New Delhi, Mumbai, and Kolkata, which was of moderate-to-good degree for Mumbai (r = 0.729, P = 0.017) and poor for New Delhi (r = 0.242, P = 0.501) and Kolkata (r = 0.123, P = 0.735). A significant positive correlation was observed between the rise in COVID-19 cases and the quantity of BMW generated (r = 0.88, P = 0.009). Furthermore, significant improvement in air quality AQI in four metros and water quality biological oxygen demand/chemical oxygen demand of Yamuna river was observed. Conclusions: Understanding of the interplay of environmental meteorological factors on COVID-19 disease transmission and vice versa is necessary for better informed policy framing and future research. © Medical Journal of Dr. D.Y. Patil Vidyapeeth 2022.

12.
Medical Journal of Dr. D.Y. Patil Vidyapeeth ; 15(7):S84-S88, 2022.
Article in English | Scopus | ID: covidwho-2024837

ABSTRACT

Introduction: The present study was conducted for vaccine effectiveness in the prevention of mortality among moderate to severe COVID-19 cases. Methods: The study was conducted in a dedicated COVID-19 hospital in Northern India from April 2021 to June 2021. Only moderate and severe COVID-19 cases were admitted to the hospital. All patients with the outcome (recovery or mortality) till 30 June 2021 constitute the study population for the study. The study is designed as a case-control study. The outcome was mortality due to COVID-19. The control group was cases who have recovered. The exposure was vaccination status. The data about the age, sex, and vaccination status including the type of vaccine was collected from the case sheets. Results: A total of 735 participants were recruited, out of which 409 patients survived and 326 patients died due to COVID-19 in the hospital. The mean age was 52.80 years (SD = 14.1 years) in the cases group and 60.92 years (SD = 14.97 years) in control group (P = 0.001). 137 (33.50%) were female and 272 (66.50%) were male in the control group while in cases 134 (41.10%) were female and 192 (58.90%) were male (P = 0.03). A total of 473 (64.35%) patients were unvaccinated, 199 (27.07%) were partially vaccinated, and 63 (8.57%) were fully vaccinated. Among the patients who survived, 101 (24.69%) were partially vaccinated and 28 (6.85%) were fully vaccinated;in the cases group, 98 (30.06%) people were partially vaccinated and 35 (10.74%) were fully vaccinated. On multiple regression analysis, there was no association between vaccination status and mortality among moderate and severe cases. Conclusion: The present study brought out that there is no association between vaccination and mortality among moderate to severe COVID-19 cases admitted to the makeshift hospital in Delhi. © Medical Journal of Dr. D.Y. Patil Vidyapeeth 2022.

13.
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022 ; : 4850-4851, 2022.
Article in English | Scopus | ID: covidwho-2020406

ABSTRACT

Similar to previous iterations, the epiDAMIK@KDD workshop is a forum to promote data driven approaches in epidemiology and public health research. Even after the devastating impact of COVID-19 pandemic, data driven approaches are not as widely studied in epidemiology, as they are in other spaces. We aim to promote and raise the profile of the emerging research area of data-driven and computational epidemiology, and create a venue for presenting state-of-the-art and in-progress results-in particular, results that would otherwise be difficult to present at a major data mining conference, including lessons learnt in the 'trenches'. The current COVID-19 pandemic has only showcased the urgency and importance of this area. Our target audience consists of data mining and machine learning researchers from both academia and industry who are interested in epidemiological and public-health applications of their work, and practitioners from the areas of mathematical epidemiology and public health. Homepage: https://epidamik.github.io/. © 2022 Owner/Author.

14.
Transplantation ; 106(8S):137-137, 2022.
Article in English | Web of Science | ID: covidwho-2003462
16.
Journal of Marine Medical Society ; 24(3):25-29, 2022.
Article in English | Web of Science | ID: covidwho-1997942

ABSTRACT

Introduction: The world is enveloped with the coronavirus disease 2019 (COVID-19) Pandemic with modern medicine and public health facing their most significant challenges ever posed. As the number of COVID-19 cases increased worldwide, an important issue of concern was the continuation of routine immunization services for children. This study has been conceptualized to assess the effect of the COVID-19 pandemic on infant Immunization. Materials and Methods: This study was a descriptive study conducted in an urban community amongst healthy children < 1-year-old from January 2018 to September 2021. Immunization records of infants were obtained from data generated during each immunization session and strength, weakness, opportunity, and threat analysis was done using a questionnaire. Results: During the study, a total of 3518 vaccinations were done, a total of 3010 vaccinations (85.5%) were done on time, and the total delayed vaccinations were 508 (14.5%). The difference among the years was statistically significant, with the highest delay in the year 2020 (P < 0.001). However, in the year 2021, the number of vaccinations carried out from April to September was 568, with delayed vaccination of only 10.9%. Conclusion: The Armed Forces childhood immunization program could be sustained during the COVID-19 pandemic due to a multitude of contributing factors such as adherence to national guidelines that prioritized vaccination, infrastructure, and availability of trained workforce and most importantly commitment to strict COVID appropriate behavior.

17.
Journal of Marine Medical Society ; 24(3):5-10, 2022.
Article in English | Web of Science | ID: covidwho-1997936

ABSTRACT

Background: The coronavirus disease-2019 (COVID-19) pandemic has introduced new ethical challenges in the care of patients and people who may have been exposed to severe acute respiratory syndrome coronavirus-2 or have mild to moderate COVID-19. Refusal to get tested for COVID-19 and having poor adherence to infection prevention protocols are the areas of concern for the ongoing pandemic. Such situations increase the risk of infection to other patients and staff. The factors affecting testing refusal were studied with the help of the Google questionnaire. Methodology: The cross-sectional survey tool was developed and distributed after pilot testing. The study population was selected using mix sampling method, snowball, and random sampling using the mobile number of the participants. All the participants were informed about the purpose of the study and included after taking consent. Results: Of the 176 study participants, the majority were male (112, 63.6%), with a mean age of 37.2 years (standard deviation 10.4). Forty-one (23.3%) were health-care workers and 74 (42.1%) were private company employees. Seventy-one (40.3%) refused to get tested for COVID-19 when asked whether they will get tested in the presence of any COVID-19 symptoms and 81 (46.8%) refused to get tested in the absence of any symptoms. Conclusion: Health policy-makers should utilize the study results to formulate the policy regarding any future pandemic to reduce the level of stigma associated with an unknown disease. These clarifications and excuses asked to the study participants are meant to provide a deeper understanding to address the pandemic better.

18.
Cureus ; 14(6):e26414, 2022.
Article in English | MEDLINE | ID: covidwho-1975346

ABSTRACT

Background During the COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), many patients developed pulmonary barotrauma either self-inflicted or ventilator-induced. In pulmonary barotrauma, air leaks into extra-alveolar tissue resulting in pneumomediastinum, subcutaneous emphysema, pneumothorax, and pneumoperitoneum. Methods After obtaining institutional approval, we retrospectively reviewed data from March 1, 2021, to September 31, 2021. Being a retrospective study, informed consent was not applicable. Patient data were collected from the Al Shifa patient information portal, which is an electronic medical record system available to all hospitals in the Ministry of Health, Oman. After identifying patients with pulmonary barotrauma, the following details were recorded and entered into an Excel sheet (Microsoft Corporation, Albuquerque, New Mexico) and a database was created, which contained the following: age, sex, smoking history, comorbidities, type, location, mode of barotrauma, mode of ventilation, length of intensive care unit (ICU) stay, interventions performed, and overall outcome (survived/deceased). Results A total of 529 patients with COVID-19 pneumonia were admitted from March 2021 to September 2021 to the ICU. Twenty-eight patients developed barotrauma of variable severity and required interventions like the placement of intercostal drains. Out of 28, five patients developed spontaneous barotrauma, 14 patients had barotrauma after initiation of non-invasive ventilation, and nine patients had barotrauma as a result of invasive ventilation. The median number of days in the ICU was 19.5 (interquartile range: 12.5-26.5). Of the 28 patients, eight patients survived and were discharged from the hospital. Conclusion In this single-center, retrospective study at a secondary care hospital in Oman, we described our experience with patients who suffered pulmonary barotrauma during their ICU admission. We have also presented the incidence of spontaneous versus ventilator-induced barotrauma, the length of stay of these patients, the outcomes in terms of survival or death, the need for tracheostomy, secondary infections, and interventions performed as indicated.

19.
International Journal of Clinical Dentistry ; 15(2):347-356, 2022.
Article in English | Scopus | ID: covidwho-1958501

ABSTRACT

Objectives: The study aimed at evaluating orthodontics and dental emergencies during the COVID-19 pandemic. Materials and methods: An online-questionnaire survey was developed using google form and sent to orthodontists and dental surgeons in Nepal, practicing during the pandemic. Responses were collected and statistical analysis was done using SPSS version 16.0. Result: It was seen that the most frequently encountered orthodontic emergencies were due to, loose brackets (60%) and poking wires (47.6%) followed by loose bands (31.4%) and debonded loose buccal tubes (30.5%). Most frequently reported dental emergencies were broken or loose removable prosthesis and broken or loose crowns and/or bridges (13.3%) followed by bleeding while brushing (41.9%), swelling due to periodontal origin (33.1%), and severe pain due to tooth decay (44.8%). Conclusion: Loosening of brackets and poking wires were the most frequently reported orthodontic emergencies while, broken or loose prosthesis were reported commonly during the pandemic. © 2022 Nova Science Publishers, Inc.

20.
Blockchain for 5G Healthcare Applications: Security and privacy solutions ; : 347-374, 2022.
Article in English | Scopus | ID: covidwho-1958500

ABSTRACT

The Covid-19 pandemic is an unparalleled threat in today’s environment of quick development, and we face it as a global community. Like climate change, it is challenging our resilience from environmental health, social security, and government to knowledge exchange and economic policy in all sectors of the economy and growth fields. So much as climate change, this too would require everybody to come together and take an appropriate initiative. The coronavirus outbreak has highlighted our strengths and vulnerabilities that it has influenced and enabled us to benefit from each other’s accomplishments and shortcomings. The entire globe might appear small amid this state of disaster and global travel bans. However, it is a period when the concept of teamwork and looking forward were never more relevant. In the wake of Covid-19, all contact-based biometric attendance systems have been rendered practically useless. Thus, a contactless biometric attendance system is the need of the hour to prevent the spreading of Covid-19. The present-day attendance systems are quite difficult to manage and maintain record. The attendance in classes or industries is mostly done manually, and logbooks are used to maintain records. This can be a cumbersome process as sometimes humans can make a mistake which might lead to inconsistency. This chapter proposes a completely automatic attendance system that uses contactless biometric as a health-care major in the Covid-19 pandemic. In a system using facial recognition, there are lots of challenges involved most of the time. These may include low intensity of light or face that is occluded. The You Only Look Once (YOLO) algorithm for facial detection has been used in this chapter to overcome this issue. © The Institution of Engineering and Technology 2022.

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