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1.
NeuroQuantology ; 20(21):449-457, 2022.
Article in English | EMBASE | ID: covidwho-2218312

ABSTRACT

Purpose: The purpose of the study is to examine the role of journalism in promoting yoga and meditation in India. Design/Methodology/Approach: The primary quantitative method has been used where the survey procedure is included. Through this method, the graphical representation of other viewpoints has been highlighted. Finding(s): It has been noticed that meditation and yoga provides helps in culming the mind of an individual and strengthen the immune system. The journalism motivates people on the inclusion of the yoga and meditation in daily lives. Research, practical work, and social implication: The study helps to highlight the benefits of involving yoga and meditation in the daily life. Originality/ Value: The value of the study is that it gives a better understanding about the yoga and meditation on improving the immune system during Covid period. Copyright © 2022, Anka Publishers. All rights reserved.

2.
9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2213390

ABSTRACT

The aim of this study is to automate the detection of COVID-19 patients by analysing the acoustic information embedded in cough speech sounds. COVID-19 mainly affects the peoples respiratory system. Then accordingly respiratory-related speech sounds have the potential to hold important information to detect the cause. The principal aim of the Coswara dataset is to analyse the spectrogram representation of cough sound samples and investigate whether COVID-19 patients are improve the frequency content of produced sound signals. Coronavirus effects the whole respiratory system and consequently respiratory-related signals such as cough can possibly contain potential data for the distinctive presence of COVID-19 patients. The Coswara dataset is recorded with labeled categorized into cough sounds with final labeling into Covid-19 positive and Non-Covid classes. Among dataset, we have considered 70% dataset for training and 30% for testing purpose. The Mel Frequency Cepstral Coefficients (MFCCs) are used to extract characteristics of cough sound features from cough speech samples. These features are then used as learning input for machines to label using the self-designed Convolutional Neural Network (CNN) model. After completing the whole process, we got the training AUC (Area Under Curve) for (ROC) 98.84%, validation AUC as 88.23% and testing AUC as 87.09%. © 2022 IEEE.

3.
Lekarsky Obzor ; 71(4):142-154, 2022.
Article in English | Scopus | ID: covidwho-2207964

ABSTRACT

During current COVID-19 pandemic health care professionals as well as general communities all over the world have become much more aware about the importance of such basic physiological functions as breathing and the essential nature of intact respiratory system for our proper functioning and survival. Treatment of severe forms of respiratory failure puts enormous personal, material as well as financial strains on health care systems even in countries of the developed world. Since the beginning of COVID-19 pandemic scientists and physicians alike are putting vast efforts into developing effective treatment plans to fight this new disease, yet many times with dubious effect. With repurposing old drugs and development of new ones, concerns of potential lung toxicity as a side effect of medication use pose a serious concern. Currently there are several hundred medications known to us which can exert various toxic effects on the respiratory system. As such, in every day clinical practice it is extremely important to identify and minimize the chances of morbidity and mortality induced by medications used in treatment of pulmonary diseases as well as non-pulmonary illnesses. In most cases the diagnosis of drug induced pulmonary toxicity is done by exclusion after all other etiologies of lung compromise have been eliminated. Transbronchial or even open surgical lung biopsy is in many times only of limited value on changing the treatment strategy, however it frequently poses a significant risk of developing pre and post-operative complications. It has to be cautiously considered on individual basis after evaluating potential risks and benefits of the intervention. Apart from affecting the pulmonary parenchyma drugs can exert their toxic effects on pulmonary vascular system, pleura, mediastinal structures as well as on the neuromuscular system driving and executing the respiratory effort. In conclusion, prior to initiating any medication therapy it is paramount to estimate the potential risks and benefits on the pulmonary system and notify the patient in order to make an adequate informed decision regarding starting or declining specific medical intervention (Tab. 3, Ref. 45). Text in PDF www.lekarsky.herba.sk. (http://www.lekarsky.herba.sk.) © 2022, Lekarsky Obzor.All Rights Reserved.

4.
24th International Conference on Human-Computer Interaction, HCII 2022 ; 1654 CCIS:485-494, 2022.
Article in English | Scopus | ID: covidwho-2173715

ABSTRACT

In the context of the COVID-19, respiratory diseases have become the focus of social attention, and the elderly, as a susceptible population, is more significantly affected by the epidemic. In order to fully protect the respiratory system of the elderly and enhance their satisfaction with the function of smart products, this study proposes a design method for smart health care product based on the cognitive behavior of elderly users. Firstly, the user demand gap is explored and determined by using the A-Kano model;secondly, a functional model is created based on the FAST functional theory. After converting the user demand into function, and then the TRIZ theory is applied to choose to use 40 invention principles and 39 general engineering parameters to analyze the problem and get conflict domain solutions, so as to filter out the most ideal solution and innovate its function;Finally, by the design and practice of the smart health care air purification product, its purification range, monitoring data and wearing method will be effectively optimized, and the feasibility of the design solution will be verified by the user interaction satisfaction questionnaire. The study provides new ideas for the design of smart health care products and the solutions of contradictory problems, which would also be a theoretical guidance for relevant designer and researchers. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

5.
Journal of Environmental Treatment Techniques ; 10(3):216-223, 2022.
Article in English | CAB Abstracts | ID: covidwho-2206597

ABSTRACT

The World Health Organization (WHO) declared the coronavirus accession as a global pandemic on 11th March 2020. COVID-19 infection outcrops in all age groups, and children might be less probably to become infected or, if infected, may show milder signs. We searched MEDLINE via PubMed, Scopus, Web of Science Core Collection (WoS), Science Direct, Google Scholar (as English databases);Magiran, Iran Medex, Iran Doc, and SID (as Persian databases). In this study, more than 80 publications from December 2019 to mid-September 2020 were reviewed with the most relevant papers about COVID-19 in children. According to the latest reports of previous studies treatmentd in Iran, the average age of children with COVID-19 infection has been reported as ranging from less than 4 months to 15 years. Also, most reported cases were males. Death in this age group was rare, but it can simply occur in children with severe conditions. The all over course of sickness, mainly pulmonary involvement- of the infected children tend to be milder compared to adults. Laboratory tests and computed tomography (CT) scan findings were nonspecific and milder compared to those at older ages. It should be noted that there is no specific passd medication for treatment of COVID-19-infected children. According to recent reports, COVID-19 characteristicss in children are not yet fully understood, which poses a remarkable problem for children's medical specialists. It should be considered that most children are asignatic or have mild signs and signs.

6.
International Research Journal of Innovations in Engineering and Technology ; 6(11):91-95, 2022.
Article in English | ProQuest Central | ID: covidwho-2206558

ABSTRACT

Covid-19 is a disease caused by a new type of coronavirus, namely SARS-CoV-2 (Severe Acute Respiratory Syndrome-Coronavirus-2). Covid-19 attacks humans in the respiratory system ranging from mild flu-like symptoms, to lung infections such as Covid-19 pneumonia spreads very quickly, namely through droplets, aerosols, etc. which are not visible to the naked eye. With these conditions, so an innovation is needed to prevent and overcome it with UVD robots. UVD Robot (Ultraviolet Disinfection Robot) is a robot that can disinfect viruses in a room with UVC light. UVD Robot Robot can be controlled automatically or manually so that it can be controlled from several meters. UVC (Ultraviolet C) light with a wavelength of 254 nm has the ability to prevent viral replication at the appropriate dose, distance, and time. The way UVC light works is to damage the structure of the DNA and RNA viruses so that they cannot replicate themselves. This research is based on the speed and trajectory of the UVD robot in order to obtain an effective configuration without reducing the ability of the UVD robot.

7.
Environment Conservation Journal ; 23(3):47, 2022.
Article in English | ProQuest Central | ID: covidwho-2206366

ABSTRACT

Virus, bacteria and fungi are the most common causes for spreading illness in human and in animals. These are the microorganisms and they can cause epidemic and pandemic diseases. World is passing through many viral epidemics affecting respiratory system since last twenty years. It includes SARS-CoV 2002-2003, H1N1 Influenza 2009, MERS-CoV 2012 to the recent COVID-2019. COVID-19 is a viral pandemic infection this is air borne illness that is spreading through droplet infection. This virus especially affects the respiratory system by doing immunosuppression in person. In Ayurveda there are references of Janapadodhwamsa in Charaka samhita vimansthan. Janapadodhwamsa – is the term coined by Charak which means destruction of population living in same place at the same time because of 4 main reasons i.e. Dushit vayu (Air), Dushit jala (water), Dushit desh (land), Dushit kaal (time) Janapadodhwamsha causes death of individuals in the affected area inflicting huge destruction.

9.
International Journal of Electronics and Telecommunications ; 68(4):731-739, 2022.
Article in English | Scopus | ID: covidwho-2205288

ABSTRACT

The 2019 Coronavirus (COVID-19) virus has caused damage on people's respiratory systems over the world. Computed Tomography (CT) is a faster complement for RT-PCR during peak virus spread times. Nowadays, Deep Learning (DL) with CT provides more robust and reliable methods for classifying patterns in medical pictures. In this paper, we proposed a simple low training proposed customized Convolutional Neural Networks (CNN) customized model based on CNN architecture that layers which are optionals may be included such as the layer of batch normalization to reduce time taken for training and a layer with a dropout to deal with overfitting. We employed a huge dataset of chest CT slices images from diverse sources COVIDx-CT, which consists of a 16,146-image dataset with 810 patients of various nationalities. The proposed customized model's classification results compared to the VGG-16, Alex Net, and ResNet50 Deep Learning models. The proposed CNN model shows robustness by achieving an overall accuracy of 93% compared to 88%, 89%, and 95% for the VGG-16, Alex Net, and ResNet50 DL models for the classification of 3 classes. When this relates to binary classification, the classification accuracy of the proposed model and the VGG-16 models were identical (almost 100% accurate), with 0.17% of misclassification in the class of Non-Covid-19, the Alex Net model achieved almost 100% classification accuracy with 0.33% misclassification in the class of Non-Covid-19. Finally, ResNet50 achieved 95% classification accuracy with 5% misclassification in the Non-Covid-19 class. © The Author(s).

10.
Arerugi - Japanese Journal of Allergology ; 71(10):1211-1213, 2022.
Article in Japanese | MEDLINE | ID: covidwho-2204044
11.
International Journal of Advanced Computer Science and Applications ; 13(11):832-839, 2022.
Article in English | Scopus | ID: covidwho-2203976

ABSTRACT

A novel coronavirus disease (COVID-19) has been a severe world threat to humans since December 2020. The virus mainly affects the human respiratory system, making breathing difficult. Early detection and Diagnosis are essential to controlling the disease. Radiological imaging, like Computed Tomography (CT) scans, produces clear, high-quality chest images and helps quickly diagnoses lung abnormalities. The recent advancements in Artificial intelligence enable accurate and fast detection of COVID-19 symptoms on chest CT images. This paper presents COVIDnet, an improved and efficient deep learning Model for COVID-19 diagnosis on chest CT images. We developed a chest CT dataset from 220 CT studies from Tamil Nadu, India, to evaluate the proposed model. The final dataset contains 5191 CT images (3820 COVID-infected and 1371 normal CT images). The proposed COVIDnet model aims to produce accurate diagnostics for classifying these two classes. Our experimental result shows that COVIDnet achieved a superior accuracy of 98.98% when compared with three contemporary deep learning models. © 2022,International Journal of Advanced Computer Science and Applications. All Rights Reserved.

12.
Annals of Clinical and Analytical Medicine ; 13(12):1314-1318, 2022.
Article in English | Web of Science | ID: covidwho-2202448

ABSTRACT

Aim: Secondary spontaneous pneumothorax is caused by underlying lung disease, while barotraumatic pneumothorax results from mechanical ventilation. SARS-CoV2 (COVID-19) is a disease that is transmitted through droplets and affects many organs such as the lungs, brain, kidney, and liver. The lungs are the most affected organ and have the greatest influence on mortality. In SARS-CoV2 infection, progression of consolidations and expansion towards the upper lobes, the development of pleural or pericardial fluid, the development of lymphadenopathy, the presence of bronchiectasis, the development of cavitation, and pneumothorax are poor prognostic factors. In our study, we aimed to compare factors contributing to the development of pneumothorax in 29 patients who developed pneumothorax during the treatment of COVID-19 infection and follow-up.Material and Methods: Age, gender, habits, co-morbid diseases, clinical, radiological, laboratory, treatment, mortality and morbidity results of 29 patients who developed pneumothorax during the treatment and follow-up of COVID-19 infection were evaluated. Patients were divided into two groups as deceased (Group1) and surviving (Group 2) patients. The results of the groups were compared.Results: We found that mean age, lymphocyte elevation, mechanical ventilator applications, length of stay in the intensive care unit, and complication development after thoracostomy were more significant in Group 1 than in Group 2 (p<0.05), whereas gender, pneumothorax localization, blood group, Rh differences, and smoking were not significant (p>0.05).Discussion: Although the number and ratio of the comparison criteria included in the study were in favor of Group 1, certain parameters were statistically significant. However, the development of pneumothorax is an important cause of mortality in SARS-CoV2 patients.

13.
Indian Journal of Public Health ; 66(4):458-465, 2022.
Article in English | CAB Abstracts | ID: covidwho-2201812

ABSTRACT

Background: Influenza activity was reported to be below the seasonal levels during the Coronavirus disease-2019 (COVID-19) pandemic globally. However, during the severe acute respiratory syndrome corona virus-2 outbreak, the routine real-time surveillance of influenza-like illness and acute respiratory infection was adversely affected due to the changes in priorities, economic constraints, repurposing of hospitals for COVID care, and closure of outpatient services.

14.
Indian Journal of Public Health ; 66(4):451-457, 2022.
Article in English | GIM | ID: covidwho-2201810

ABSTRACT

Background: In the present COVID-19 pandemic, social distancing measures have been advised to protect elderly from infection which might have led to poor mental health state.

15.
Journal of Industrial Textiles ; 52, 2022.
Article in English | Scopus | ID: covidwho-2195289

ABSTRACT

Face masks are commonly used to protect an individual's respiratory system from inhaling fine particulate matter (PM2.5) in polluted air, as well as the airborne pathogens, especially during the ongoing coronavirus disease 2019 (COVID-19) pandemic. However, all conventional masks with anti-PM2.5 function suffer from insufficient facial thermal comfort, particularly in a hot and humid environment. Herein, we demonstrated a novel infrared-transmittance visible-opaque PM2.5 media for radiative cooling utilizing rutile titanium dioxide particle-embedded polyamide 6 (PA6-TiO2). The transmission of visible light and infrared and PM2.5 removal performance of composite media containing a variety of microstructures, such as TiO2 particles of varying sizes, shapes, and contents, were numerically examined to determine the optimal ranges. Then the PA6-TiO2 media was effectively electrospun by controlling the arrangement of fibers and the morphology of TiO2 particles. By transmitting more than 85% of the thermal radiation from the human body and selectively blocking solar irradiance, the developed PA6-TiO2(flower-shaped) media cooled the simulative skin by 10.3°C as compared with commercial masks under strong solar irradiance. Additionally, they demonstrated a high PM2.5 removal efficiency of 95.3%, a low air resistance of 22.5 Pa (at 5.3 cm/s), and a sound water vapor transmission rate of 0.0169 g cm−2 h−1. This study presents an effective strategy for making thermally comfortable anti-PM2.5 masks, which will significantly benefit the public health prevention and control. © The Author(s) 2022.

16.
5th IEEE International Conference on Computer and Informatics Engineering, IC2IE 2022 ; : 282-286, 2022.
Article in English | Scopus | ID: covidwho-2191798

ABSTRACT

One of the diseases still suffered by many Indonesian people, especially in the city of Depok, is respiratory disease. Currently, respiratory tract disease is a case with a high number of sufferers. An effort to handle these cases is to provide counseling and education for the community. This education aims to enable people to apply a healthy lifestyle independently and prevent various types of diseases. During the COVID-19 pandemic, this role was somewhat difficult to carry out due to limited movement and space. As a solution to this problem, the part of information technology is crucial. One is utilizing multimedia technology as a medium for health education for the community, namely animation. Animation can describe and visualize something so that information can be presented clearly and visually. This study aims to develop animation as a medium of health education for the community, especially in respiratory health. The animation video was generated using the MDLC (Multimedia Development Life Cycle) method. The resulting animated video can inform the public about health that focuses on the health of the respiratory system. 85 % of users stated that this animated video helps them to understand the material presented. © 2022 IEEE.

17.
ONdrugDelivery ; 2022(140):24-27, 2022.
Article in English | EMBASE | ID: covidwho-2167103
18.
British Journal of Sports Medicine ; 2022.
Article in English | ProQuest Central | ID: covidwho-2161828

ABSTRACT

ObjectiveTo describe the incidence and burden of illness at the Tokyo 2020 Paralympic Games, which was organised with strict COVID-19 countermeasures.MethodsDaily illnesses were recorded via the web-based injury and illness surveillance system (teams with their own medical staff;n=81), and local polyclinic services (teams without their own medical staff;n=81). Illness proportion, incidence and burden were reported for all illnesses and in subgroups by sex, age, competition period, sports and physiological system.Results4403 athletes (1853 female and 2550 male) from 162 countries were monitored for the 15-day period of the Tokyo Paralympic Games (66 045 athlete days). The overall incidence of illnesses per 1000 athlete days was 4.2 (95% CI 3.8 to 4.8;280 illnesses). The highest incidences were in wheelchair tennis (7.1), shooting (6.1) and the new sport of badminton (5.9). A higher incidence was observed in female compared with male athletes (5.1 vs 3.6;p=0.005), as well as during the precompetition versus competition period (7.0 vs 3.5;p<0.0001). Dermatological and respiratory illnesses had the highest incidence (1.1 and 0.8, respectively). Illness burden was 4.9 days per 1000 athlete days and 23% of illnesses resulted in time loss from training/competition>1 day.ConclusionThe incidence of illness at the Tokyo 2020 Paralympic Games was the lowest yet to be recorded in either the summer or winter Paralympic Games. Dermatological and respiratory illnesses were the most common, with the burden of respiratory illness being the highest, largely due to time loss associated with COVID-19 cases. Infection countermeasures appeared successful in reducing respiratory and overall illness, suggesting implementation in future Paralympic Games may mitigate illness risk.

19.
Journal of Electrical and Electronics Engineering ; 15(2):76-81, 2022.
Article in English | ProQuest Central | ID: covidwho-2157218

ABSTRACT

- Covid-19 is an infectious disease that attacks the respiratory system caused by the coronavirus found in 2019. It has a deadly infection and rapid spread worldwide without exception in Indonesia. Then since the year, World Health Organization (WHO) has declared it a world pandemic. One way to prevent the spread of Covid-19, especially in the closed public area, is by spraying disinfectant to kill the virus. In this project, a low-end disinfectant sprayer has been built based on an Arduino system. The sprayer has been applied to a 10.3mx7.8m classroom with 30 units of the misting device. Performance test of the system shows that the sprayer can work accurately at the timetable to spray the classroom by consuming 58.31 W in operation and 19.80W in standby mode. The total hardware implementation cost is IDR 904,225 or less than USD 65, making affordability for implementing the system.

20.
Medical Journal of Malaysia ; 77(Supplement 4):46, 2022.
Article in English | EMBASE | ID: covidwho-2147523

ABSTRACT

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a virus from the Coronaviridae family that causes the Coronavirus disease (COVID-19), has emerged and spread since December 2019. Since then, many in vitro and in vivo models for COVID-19 research has been developed. Objective(s): This study aimed to determine infectivity rate of various SARS-CoV-2 strains in the Vero E6 cell line. Material(s) and Method(s): Four SARS-CoV-2 strains (Wuhan, Alpha, Beta, and Delta) were isolated from clinical samples. Virus titre concentration of all strains were measured using Tissue Culture Infectious Dose (TCID50) assay and Plaque assay. At similar virus titre concentration, all strains were incubated in the Vero E6 cells at 37degreeC for 72 hours. At the end of incubation period, all virus cultures were terminated and analysed using TCID50 assay. Result(s) and Conclusion(s): It was found that the Wuhan strain has the highest infectivity rate (3601 PFU/mL/72hours) towards the Vero E6 cells, followed by Alpha (2946 PFU/mL/72hours), Beta (1780 PFU/mL/72hours) and Delta (571 PFU/mL/72hours). Vero E6 cell is commonly used for virus isolation and propagation, however this cell does not mimic the primary entry sites in the human respiratory track. The successful isolation and culture of SARS-CoV-2 in the Vero E6 cell is multifactorial, with high viral titre in source clinical samples and low passage number of cell culture as key factors. Vero E6 cell is susceptible towards all SARS-CoV-2 strains and can be used as in vitro COVID-19 culture model. Further studies can be conducted to determine the influence of different cell lines on the COVID-19 infectivity.

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