Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 40
Filter
1.
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach ; : 93-119, 2022.
Article in English | Scopus | ID: covidwho-2035584

ABSTRACT

Healthcare workers are the backbone of society, serving and aiding people with biological illnesses. They are the most vulnerable part of society, as there is no work-from-home option available to the health sector workers during the pandemic. The study aims to investigate the issues faced by women working in the health care sector as nurses, doctors, etc., during the pandemic COVID19. The pandemic increased the workload of women as a whole and particularly women working in the health sector. The paper focuses on issues and challenges faced by women working in the healthcare sector during the pandemic, revealing the number of hours they had to work, how they got quarantined, the issues they faced while working, the challenge of stealing time to be spent with family and the nightmare of coping the truth that the virus might be transmitted to their children and other family members, the fear of working in coronavirus ward, the issues faced in wearing the double mask and personal protective equipment. It would also highlight the issues and struggle they had to go through while working in the healthcare sector as a woman. © 2022 Elsevier Inc. All rights reserved.

2.
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach ; : 121-139, 2022.
Article in English | Scopus | ID: covidwho-2035579

ABSTRACT

COVID-19 has brought lives to a standstill. Business and educational institutions all over the world have adopted the “remote learning” strategy so that there are no interruptions in business or education. There are a good majority of female teachers in India and majorly everyone is facing problems while teaching online. During this pandemic, when the workload of almost all other sectors decreased significantly, the education sector is the one that has been working full time. With immense pressure from the institute and an increase in working hours, teachers are juggling between their professional and personal life resulting in the problem of a time crunch in their personal lives. This paper discusses the issues being faced by teachers during the pandemic time with special reference to teachers having children of different ages. © 2022 Elsevier Inc. All rights reserved.

3.
International Journal on Technical and Physical Problems of Engineering ; 14(2):104-110, 2022.
Article in English | Scopus | ID: covidwho-1940041

ABSTRACT

The recent developments in the field of deep learning have enabled the efficient diagnosis of medical imaging for determining a broad set of diseases. To reduce the spread and impact of the pandemic (COVID virus), machine learning techniques can be used to diagnose and predict the disease using chest X-ray images. In this research, we present an approach using Siamese Convolutional Neural Network (SCNN) to classify chest x-ray images into four classes, namely pandemic, Severe-COVID, Pneumonia and Normal. We present a comparative study between the performance of our Siamese network and other pre-trained CNN architectures i.e. VGG-16 and ResNet50 in this research. The model performance is tested by merging two publicly available datasets: COVID-Chest-Xray dataset and Chest X-Ray Images (Pneumonia). We achieved an accuracy of 98% on Siamese ResNet50 which gives the best performance in contrast to 95% on VGG-16, 93% on ResNet50 and 96% on Siamese VGG-16. © 2022, International Organization on 'Technical and Physical Problems of Engineering'. All rights reserved.

4.
Developments in Marketing Science: Proceedings of the Academy of Marketing Science ; : 45-46, 2022.
Article in English | Scopus | ID: covidwho-1930268

ABSTRACT

Today, digital content is dominated by interactive and immersive technologies (Mckinesy 2019). Brands are rapidly adopting technologies such as Augmented Reality (AR) for virtual product experiences (Pantano 2015). AR refers to the superimposing of the digital content on consumers' real-world contexts, thereby bridging the gap between physical and virtual purchase situations (Mealy 2018). Two popular AR-based applications are Ikea place (furniture) and Youcam Makeup (cosmetics). At present, AR is on a growth trajectory, as immersive technology growth (pre-COVID-19) was pegged to exceed $55 billion by the year 2021(Research and Markets 2019). Existing research on AR focuses on user experiences, customer engagement, brand attitudes, and purchase intentions (Hilken et al. 2017;Kim and Hall 2019;Park and Yoo 2020;Scholz and Smith 2016). As technology increasingly intertwines with consumers' lives and decisions, it is essential to continue expanding the research into the lived experience of AR-mediated shopping (Chylinski et al. 2020). Hence this paper focuses on the self-augmentation experiences through the virtual product try-on apps. The virtual try-on apps let consumers try out virtual replicas of actual products (cosmetics, apparel, jewelry, etc.) on their real-time images, captured via tablet or smartphone-based selfie cameras. The context of the study is AR virtual try-on apps in the cosmetics industry, owing to their popularity and adoption by consumers. Based on the concepts of extended self, consumption experiences, self-referencing theory, and mental imagery (Belk 1988;Holbrook and Hirschman 1982;Lutz and Lutz 1978;Rogers et al. 1977), this study follows an exploratory approach using netnography and in-depth interviews. The initial findings suggest that using AR try-on tools helps consumers choose the products that enable them to craft unique self-expression rather than conforming to societal stereotypes. Further, AR facilitates experimentation with new consumption patterns, irrespective of age and gender, giving opportunities for consumers to embrace their unique interests. Consumers save their self-augmented images to share among connections via social media, indicating digital expression before actual purchase and use. Thus AR provides an opportunity for brands to be a part of consumers' virtual selves before actual consumption through digital expression. The study's findings open up new avenues for brands to be a meaningful part of consumer extended selves and the role of AR in enabling consumers to express their “true selves” which may be seen as more of an aspirational self given enhancements of face shape and eye size commonly employed in these apps. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

5.
Enabling Healthcare 4.0 for Pandemics: A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies ; : 1-19, 2021.
Article in English | Scopus | ID: covidwho-1919205

ABSTRACT

The whole world is struggling to live with COVID-19 and even a single step of technology revolution can help in dealing with this pandemic. Artificial Intelligence and Machine Learning approaches are being used by the researchers around the globe to completely understand and address this situation. In this Corona crisis, companies are trying to implement this AI and ML techniques in various fields ranging from manufacturing, resource management, remote monitoring etc. On the other hand, ML approach is being used by the researchers for supporting healthcare related issues arisen due to COVID-19. © 2021 Scrivener Publishing LLC.

6.
International Journal of Electrical and Electronics Research ; 10(2):105-110, 2022.
Article in English | Scopus | ID: covidwho-1904221

ABSTRACT

It is a well-known fact that consumers may gain significant benefits from the effective use of IoT in pandemic and post-pandemic settings. Security vulnerabilities can be seen in the ever-increasing Internet of Things (IoT) ecosystem from cloud to edge, which is crucial to note in this particular circumstance. Most merchants, even luxury stores, have failed to implement robust IoT cyber security procedures. Therefore, the researchers sought to put forth secondary research methodologies to bring forward efficient scrutiny regarding this particular issue to properly comprehend the influence of IoT in various devices, including a smartwatch, power displaying metre, brilliant weight showing gadgets and many more. The secondary research approach allowed the researchers to collect a large quantity of data quickly, acquiring a wide range of possible solutions for security and privacy issues in Consumer IoT (CIoT) devices. Secondary research also will enable scholars to compare and contrast several papers' philosophies and research findings to get a quick conclusion. To gather information, the researchers used publications and the internet efficiently. In this situation, it helped to save a significant amount of time. Findings suggested that vulnerabilities occur in smart IoT gadgets, including the intelligent power consumption metre and brilliant weight displaying widget, due to their low-standard and conventional security system. Thus, this paper has suggested possible solutions to protect IoT devices against phishing and theft attacks. © 2022 by Dr Avinash Rajkumar, Pankhuri Agarwal, Dr Mohit Rastogi, Dr Vipin Jain, Dr Chanchal Chawla and Dr Manoj Agarwal.

7.
European Journal of Molecular and Clinical Medicine ; 9(3):442-450, 2022.
Article in English | EMBASE | ID: covidwho-1766812

ABSTRACT

BACKGROUND: COVID19 outbreak has become a pandemic worldwide. There has been a fairly high rate of clinical recovery among Covid patients but complete resolution or sequelae in terms of radiological findings need to be studied. AIM OF THE STUDY: 1. To understand the common pulmonary sequalae, time taken for complete resolution and factors affecting the resolution process in covid-19 patients who have been discharged after recovery, with Chest HRCT follow up. MATERIAL AND METHODS: This is an observational study which included a total of 100 discharged patients diagnosed with covid-19 by RTPCR at Index Medical College, Hospital & Research Centre, Indore-MP-India, from March 15 to June 30-2021.All the patients underwent an initial chest CT scan done 3-5 days after the onset of symptoms,followed by serial CT scans done at discharge and at 1st, 2nd and 3rd weeks after discharge. The radiological characteristics and patterns on CT chest were studied and a CT severity scoring was done for all the scans. RESULTS: GGO were the most common pattern seen (88%) on chest CT at discharge followed by fibrotic bands (61%) with the right lower lung (85%) most commonly involved.61% of patients showed complete resolution at the end of 3rd week after discharge indicating that COVID 19 induced pulmonary damage is reversible in majority of cases with no long term sequalae. However 39 patients demonstrated residual abnormalities. Older patients are at high risk for residual pulmonary lesions and there is no gender predilection. Patients having comorbidities like hypertension, diabetes or bronchial asthma were not at a higher risk of developing pulmonary sequalae. CONCLUSION: The resolution of most lesions by 3 weeks after discharge implies gradual resolution of inflammation with re-expansion of alveoli and perhaps the reversible nature of the lesions of Covid-19.

8.
Biomedical Research and Therapy ; 9(2):4930-4949, 2022.
Article in English | Web of Science | ID: covidwho-1754017

ABSTRACT

Euphorbia hirta is a common medicinal plant in folk and traditional medicine systems. This plant has shown promising effects against several human ailments and infectious diseases. Therefore, it is important to summarize the medicinal activities and value of Euphorbia hirta. The main intent of this literature review was to summarize the phytochemical content and pharmacological applications of Euphorbia hirta. The literature review about the pharmacology and phytochemistry of Euphorbia hirta was collected from different global platforms, such as Scopus, ERIC, PubMed, and Web of Science. E. hirta has a rich phytochemistry and exhibits remarkable activity against respiratory diseases, gastrointestinal disorders and venereal diseases. Different extracts of this plant have shown significant preclinical anticancer propensity against an array of different cancer cell lines. It acts as a highly active antiviral agent and has shown pronounced activity against coxsackievirus, human immunodeficiency virus, dengue virus, poliovirus and simian immunodeficiency virus. A clinical study showed its inhibitory responses against flu and fever in dengue patients. Most importantly, the plant possesses remarkable inhibitory action on ACE, which aids SARS-CoV-2 entry into host cells. The multidimensional role of Euphorbia hirta as a potential antiviral agent suggests its possible application to control COVID-19 along with modern and Western medicinal strategies. In conclusion, the literature review regarding Euphorbia hirta showed its strong pharmacological applications, such as antimicrobial, antimalarial, anti-asthmatic, antioxidant, antiviral and anticancer activities. Further in-depth research is necessary to monitor its role in the management of viral diseases, especially COVID-19.

11.
Circulation ; 144(SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1633561

ABSTRACT

Introduction: Subclinical cardiovascular involvement in COVID-19 patients has not been well described. 2D-Speckle Tracking Echocardiography derived global longitudinal strain (GLS) and systolic and early diastolic strain rate (SRs, SRe) measurements are more sensitive than standard echocardiographic parameters to diagnose subclinical mechanical dysfunction in patients with normal Left Ventricle Ejection Fraction (LVEF). Hypothesis: Evaluate subclinical myocardial mechanical function and reserve in active COVID-19 systemic disease patients with normal LVEF vs controls and between survivors and non survivors of COVID-19 in the longitudinal domain of contractility. Methods &Results: 166 adult patients with active COVID 19 having normal LVEF were included and compared to 89 healthy volunteers. Baseline parameters were recorded. Peak GLS, SRs and SRe, were measured offline. Mean age was 62.53 ± 18.96 years and 87 (52%) were males and Mean LVEF was 62±5%. COVID-19 patients had higher GLS compared to controls (-20.93%±0.30 vs. -18.48%±0.40;p value <0.0001), SRs was similar (-0.97 s-1±0.10 vs. -0.98 s-1±0.02, p value 0.2528) and SRe was lower (0.85 s-1±0.0 vs. 1.05 s-1±0.02;p value <0.0001) respectively. After adjusting for age and sex, GLS, SRs and SRe was significant (p<0.001). GLS, SRs and SRe were similar in survivors vs. non survivors (p NS), both groups had elevated biomarkers (cardiac troponin, NT-pro BNP, CRP), but non survivors had higher levels (3.22±0.18 vs 3.62±0.28, p = 0.2371, 5.86±0.19 vs 7.15±0.27, p = 0.0004, 3.75±0.14 vs 4.31±0.21, p = 0.0422, 7.64±0.17 vs 8.26±0.25, p=0.0487 respectively) (Table 1). Conclusions: In our cohort, COVID-19 patients had better systolic reserve and abnormal relaxation compared to controls. There was no significant difference in strain (GLS) and strain rate (SRs &SRe) amongst survivors and non survivors in the longitudinal domain of contractility despite of higher inflammatory biomarkers in non-survivors.

13.
West African Journal of Medicine. Vol ; 38(10):985-992, 2021.
Article in English | MEDLINE | ID: covidwho-1548496

ABSTRACT

Background: Management of trauma and emergency orthopaedic conditions during the pandemic was reorganised across the United Kingdom including our hospital following the COVID-19 British Orthopaedic Association and National Health Service England guidelines. Aims: This retrospective, observational cohort study analyses the impact of the first wave of COVID-19 pandemic on trauma and emergency patient care at a district general hospital. A comparative analysis to assess patient characteristics and clinical outcomes during the initial phase of COVID-19 outbreak with a cohort of patients treated during a similar period in 2019 was undertaken. Methods: Patients who underwent trauma and emergency surgeries between 01 April to 31 May 2020 at a Northwest Mersey NHS Trust were studied and compared to a similar period in 2019. The outcome measures assessed were 30- and 60-day mortality, Time to Surgery, length of stay after surgery, systemic and orthopaedic complications including the subsequent need for surgery. Results: Overall, there was a decrease in the number of patients who underwent trauma or emergency surgery from 184 in 2019 to 116 in 2020. 30- and 60-day mortality slightly increased by 2.05% and 2.68%, respectively. Time to surgery and hospital length of stay were comparable between both cohorts. Conclusion: Continuity of services to patients with obligatory injuries was managed using enhanced personal protective equipment and infection control strategies including segregation of patients based on COVID-19 status. Lessons learnt during this period such as COVID-19 testing regime and care pathways have prepared us for the near future. Level of Study: Retrospective Cohort study;Level III.

15.
Asian Journal of Pharmaceutics ; 15(3):392-398, 2021.
Article in English | Web of Science | ID: covidwho-1519425

ABSTRACT

Purpose: The objectives of present study were to evaluate the properties of a behavior modification of people in India associated with coronavirus outbreak. The behavior modification is measure of coronavirus related psychopathology, which was validated through a large sample study on adults who reported significant change in behavior due to watching and reading about coronavirus pandemic. Methods: Door to door and online survey conducted in Morena and Gwalior District, Madhya Pradesh, India, for collection of data of 1050 adults'. The partakers were contacted individually, through online and complete information were taken out through a questionnaire of different parameters. Because the study focused on the effect of thinking and/or watching about coronavirus disease 2019 (COVID-19) on physical activity of body, behavior, mental stress, anxiety, faith in God, and appetite. Results: A total of 16 symptoms of behavior modification due to coronavirus outbreak were statistically defined through a principal component analysis with Varimax rotation. The results were confirmed by a two-component structure and the total variance explained 55.23% for first component accounting. The six prime loadings on the first component were selected for the behavior changes because these loadings well exceeded the criteria for psychometrically prime items. Especially, communalities extraction coefficients (CEC) ranged from 0.717 to 0.853, coefficients of structure/pattern ranged from 0.71 to 0.90, and cross-loadings ranged from 0.17 to 0.22. These symptoms were used for the determination of different parameters such as decreased physical activity, psychological disturbances, mental stress, anxiety, faith in God, and appetite before arising COVID-19 infection and were highly reliable (alpha = 0.83) as a cluster. Conclusion: For the coronavirus outbreak, models will be required for control the negative behavior modification of peoples so that they can use their skill for positive outcomes. The clear cut updated policy of should be implemented to reduce these types of modifications. The prime symptoms of behavior modification were validated and stabilized through statistical tools such as CEC, coefficients of structure/pattern, and analysis of variance. Hence, we can say that if opinions of some experts are correct, then world's most of population need special care to avoid behavior modification due to coronavirus outbreak.

17.
International Journal of Services, Economics and Management ; 12(3):294-316, 2021.
Article in English | Scopus | ID: covidwho-1504586

ABSTRACT

The global pandemic created by COVID-19 has affected the world economy. The global human assets have been compelled to be lockdown and were made to maintain social distancing by the order of governments. Even in some cases, people by themselves have started taking precautionary measures to safeguard themselves, their near ones and the world at large. These steps of governments and people have stressed various economic variables. To understand the interrelation among various distressed economic variables so identified through literature, interpretive structure modelling (ISM) was applied to understand the hierarchical relationship among the variables. The results of the model and MICMAC analysis indicate that heavy expenditure on social security, rise in unemployment, catastrophe containment and relief fund and emergency fund are the top-level economic variables. The findings of this work suggest how global policymakers are creating and using various funds to mitigate health and human assets of the world. © 2021 Inderscience Enterprises Ltd.

18.
Current Science ; 119(8):1242-1243, 2020.
Article in English | CAB Abstracts | ID: covidwho-1490007

ABSTRACT

This study aims to examine the involvement of selenium with COVID-19. A group of researhers from UK and China has meticulously correlated the mortality and cure rates of COVID-19 patients in different cities of Hubei and Heilongjiang provinces of China with selenium content. The analysis has revealed an inversive correlation between soil selenium content and mortality as well as cure rate due to COVID-19.

19.
OPSEARCH ; 2021.
Article in English | Scopus | ID: covidwho-1437333

ABSTRACT

In India, the number of infections is rapidly increased with a mounting death toll during the second wave of Coronavirus disease (COVID-19). To measure the severity of the said disease, the mortality rate plays an important role. In this research work, the mortality rate of COVID-19 is estimated by using the Susceptible-Exposed-Infected-Recovered-Dead (SEIRD) epidemiological model. As the disease contains a significant amount of uncertainty, a fundamental SEIRD model with minimal assumptions is employed. Further, a basic method is proposed to obtain time-dependent estimations of the parameters of the SEIRD model by using historical data. From our proposed model and with the predictive analysis, it is expected that the infection may go rise in the month of May-2021 and the mortality rate could go as high as 1.8%. Such high rates of mortality may be used as a measure to understand the severity of the situation. © 2021, Operational Research Society of India.

20.
Journal of Neuroanaesthesiology and Critical Care ; 7(3):176-177, 2020.
Article in English | EMBASE | ID: covidwho-1410075
SELECTION OF CITATIONS
SEARCH DETAIL