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1.
International Journal of Indian Culture and Business Management ; 27(1):111-124, 2022.
Article in English | Web of Science | ID: covidwho-2068334

ABSTRACT

The COVID-19 pandemic has adversely impacted the tourism industry. Tourists are refraining from going on vacation. Getting their patrons back is one of the biggest challenges of the tourism industry. This study explores the factors affecting the vacationing intention of Indian tourists in the COVID-19 period. It also studies the moderating effect of perceived risk on the willingness to pay a price premium for perceived safety measures. The findings of this study will enable the practitioners to understand the drivers of the travelling intention of Indian tourists and thereby devise a suitable strategy to encourage footfalls.

2.
Cyber-Physical Systems: AI and COVID-19 ; : 139-160, 2022.
Article in English | Scopus | ID: covidwho-2048754

ABSTRACT

In COVID-19, most of the patients have been diagnosed with pneumonia in their early stages. Most of the symptoms that have been in the display or have evolved in the last couple of months like fever, cough, and shortness of breath have been predominant. Moreover, based on the studies and reports of the infected patients, symptoms like heart disease, hypertension, chest pain, diarrhea, and nasal congestion have shown a significant impact in the sustenance of COVID-19. Taking all these symptoms into consideration along with the person’s age, a prediction process has been developed in this chapter to check whether the person is infected with COVID-19 or not. Based on the significance of these attributes, we have applied artificial neural network to classify the patient’s condition into three classes, which include no infection, mild infection, and serious infection. We have achieved an accuracy of 84.7% in predicting the cases. © 2022 Elsevier Inc. All rights reserved.

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Frontiers in Nanotechnology ; 4, 2022.
Article in English | Scopus | ID: covidwho-1974664

ABSTRACT

NV-CoV-2, a nanoviricide composed of covalently attached polyethylene glycol and alkyl pendants that are designed to bind free virion particles of multiple strains of coronaviruses in a broad-spectrum manner at multiple points. The binding interaction is like a nano-velcro-tape and may cause a lipid–lipid fusion between nanoviricide micelle and the lipid envelope of the virus. A nanoviricide can encapsulate the virus and dismantle it without any involvement of the host immune system, ultimately disabling the infectibility of the host cells. Thus, it may be expected to count a stronger and synergistic antiviral effect by combining NV-CoV-2 with other anti-coronavirus regimens like remdesivir. Furthermore, some ligands similar to the SARS-CoV S-protein are designed by molecular modeling and attached to the nanoviricide at the same site as where the cognate cellular receptor, ACE2, binds. As a result, a competitive binding inhibition may occur. A nanoviricide can encapsulate other antiviral compounds and protect them from serum-mediated degradation in vivo. This makes the antiviral compounds available for a longer period of time to interact with RNA polymerase and inhibit it. Altogether, a multipoint antiviral efficacy can be achieved with our nanoviricide, NV-CoV-2. Copyright © 2022 Chakraborty, Diwan, Barton, Arora, Thakur, Chiniga, Tatake, Pandey, Holkar, Holkar and Pond.

5.
16th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) ; : 36-41, 2021.
Article in English | Web of Science | ID: covidwho-1916005

ABSTRACT

With the rapid spread of Covid-19 cases throughout the world, all the nations have been sentenced to partial or complete lockdowns for their safety. Throughout this one section which has been almost completely under lockdown was the Education sector where students were hardly allowed to attend physical classes around 1.5 years now. Our aim in this paper is to use the social media tweets in understanding how the people have felt throughout this course of time, what difficulties they have faced, what are the advantages, disadvantages they feel are of this new normal. We will be extracting data from the social media using natural language processing, text mining techniques, sentiment analysis to determine various insights as to what they have faced and can this New Normal be actually normal someday. We have used Tableau Software to highlight the countries where concerned tweets have been posted more. Also using Word cloud we have tried to map the main concerns. We see that there have mixed concerns related to Education from fear of letting the students attend physical mode lectures to concerns as to what side-effects would be caused due to late conduction of exams and reaction to various government laws regarding the same.

6.
Advances in Human Biology ; 12(1):34-37, 2022.
Article in English | Web of Science | ID: covidwho-1917945

ABSTRACT

Introduction: Early and correct identification of the betacoronavirus is important for effective isolation treatment and case management. Real-time polymerase chain reaction (PCR) are consider as a gold standard for the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2);however, for that, there are a requirement of skilled workforce and elaborate infrastructure. A rapid point of care test known as Truenat Beta CoV and Truenat SARS COV assay were recommended by the Government of India. The aim of the study was to find out the performance of Truenat assay in comparison to four RT-PCR assay kits. Materials and Methods: The cross sectional study was conducted in a COVID-19 testing laboratory in Central India. Forty known Truenat positive sample with different viral load were analyze in selected rtPCR kits from 4 different manufacturers. Results: Of the total of ten very low viral load samples, BGI kit was able to detect six samples, followed by TruePCR six samples, TaqPath five samples and NIV kit were able to detect three samples. Similarly, in the case of low viral load sample, BGI and TaqPath kit were able to detect all the 10 samples followed by NIV kit five samples and TruePCR nine samples respectably. In the case of medium and high viral load samples, all four reverse transcription-PCR (RT-PCR) kits were shown a 100% detection rate. Conclusions: Based on our findings, we believe truenat RT-PCR is a more reliable technique for the detection of SARC-CoV-2. Hence, it should be installed in the healthcare setup for better control of the pandemic.

8.
Journal of Clinical and Diagnostic Research ; 16(SUPPL 1):21, 2022.
Article in English | EMBASE | ID: covidwho-1798700

ABSTRACT

Background: COVID-19 pandemic shifted all the classroom teaching to virtual online platforms. The overnight change in the teaching structure posed serious challenges especially for medical education. This study aims to assess the well-being of medical students undergoing online medical education during COVID-19 pandemic and their perspective on online pharmacology classes. Description: We implemented several measures like formative assessments, quiz competitions, zoom polls, student chosen revision topics, student presentations, pharmaco-mnemonic competition, etc. WHO-5 Well-Being Index was used to assess well-being of students. An internally validated questionnaire was used to assess student's perspective on online pharmacology classes. The questionnaire was administered to eligible consenting students online through Google forms. The data obtained was analysed in SPSS software. Outcome: The mean wellness score (percentage) for all participants (n=118) was 48.87%. The mean wellness score for males (58.67%) was higher than for females (42.41%). The average score for overall benefit of conducting online pharmacology classes was 3.32 out of 5. Objectively assessed online interactions like formative assessment, polls and quiz were rated higher than subjective interactions like debate. Conclusion: COVID-19 pandemic has caused massive disruption in the life of many people. In our study, we report a decreased well-being score in medical students attending virtual classes. The findings on well-being of students have implications on planning redressal mechanism in such extreme situations. Our analysis of student's perspective about online interactions has implications beyond online classes. Some of the interactions can be instituted into regular curriculum increasing the student's participation.

9.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326889

ABSTRACT

OVERVIEW: The ongoing Pandemic because of the Coronavirus disease 2019 (COVID-19) has caused all the educaAonal insAtutes including colleges to be closed for a very long Ame. As a result the students are compelled to remain in their homes for this Ame. Prolonged stay at home along with excess use of social media and other modes to “kill” the Ame are quite famous to cause certain health issues in a person, specially the teenagers and adolescents. Mental wellbegin, being a dimension of health as per WHO should not be ignored at all specially in these situaAons. METHOD OF STUDY: An Online QuesAonnaire is prepared based of the ZUNG Self RaAng Anxiety and Self RaAng Depression Scale (Pre-validated Scales). The Form is circulated digitally among the people and then we have collected the data in excel. Based on the result we have prepared our statistical chart. RESULT: Quite a significant number of candidates were suffering due to the pandemic situation. 17.091% were suffering from mild to moderate anxiety, 1.785% had marked to severe anxiety levels(Constituting approximately 18.9% of the total). On the other hand, 8.673% of the students had mild depression, while 1 candidate (0.255%) had moderate depression and 1 (0.255%) had severe depression, (Constituting approximately 9.20% of the total). We found that candidates in the age group of 23-24 years had the maximum prevalence of depression, it was followed by candidates with age between 21-22 years. We found that the candidates with age between 23 to 24 years were having highest prevalence of significant anxiety levels which is closely followed by candidates having age which lies between 22 years to 23 years.

10.
Value in Health ; 25(1):S121, 2022.
Article in English | EMBASE | ID: covidwho-1650231

ABSTRACT

Objectives: An increased risk of thrombotic or cerebrovascular complications has been documented in patients with acute COVID-19. It is not yet known if an increased risk of stroke is true for patients in long-term recovery from severe hospitalised COVID-19. This systematic literature review (SLR) aimed to assess the onset of cerebrovascular events (including stroke) in patients with post-COVID-19 syndrome ≥4 weeks following hospitalisation for severe COVID-19 infection. Methods: Embase, MEDLINE and Cochrane were searched from January 2020 to June 2021 to identify relevant clinical studies reporting the incidence of post-discharge cerebrovascular events following a severe COVID-19 infection. Supplementary sources including conferences, reference lists and key organisation websites were scanned. The SLR was conducted in accordance with the PRISMA and Cochrane guidelines. Results: A total of four studies were included from 3,789 identified articles. Two studies were conducted in the USA, one in Ukraine and one in Iran. Three studies had a short follow-up period and were conducted between February 2020 to May 2020;while one study reported data up to January 2021. Post-discharge timepoints ranged from 30 to 90 days. The incidence of stroke varied across the studies, ranging from 0.45% to 11.5%. Unsurprisingly, the study with the longest follow-up period reported the highest incidence of cerebrovascular events. Considering that limited data is available till date for patients with post-COVID-19 syndrome, newly published findings (via hand searching) from ongoing studies may be further included to minimise the paucity of evidence currently available. Conclusions: Despite the large number of peer-reviewed articles associated with the COVID-19 pandemic, there is limited published evidence demonstrating the incidence of stroke in patients who have recovered from severe COVID-19. Several studies are ongoing, and much-needed evidence is awaited from longitudinal studies that may document the risk of stroke in patients with post-COVID-19 syndrome.

11.
Studies in Computational Intelligence ; 1001:401-420, 2022.
Article in English | Scopus | ID: covidwho-1592202

ABSTRACT

In this time of COVID-19 crisis, the threat posed by the propagation of misinformation leading to mistrust needs to be kept in check. Misinformation related to the vaccines, remedies, false symptoms, etc. are spiraling out of control. We might not be able to directly put a stop to the flow or spread of fake news to a large extent at the moment, but it may be able to identify it as such with the help of Natural Language Processing (NLP) tools and Deep Learning (DL) algorithms. Steps involved in achieving this goal can be narrowed down into collection and analysis of data from various sources, sorting out the articles as covid-relevant and categorizing them as real or fake using DL models. However, DL models use different optimizers in the learning process, which plays an important role in identifying the fake news. This chapter also compares the efficiency of different optimizers in the context of COVID-19 fake news detection using DL models. The newly developed Continuous Coin Betting (CoCoB) Optimizer for DL studied extensively for fake news detection and performed compared with four other widely used optimizers. The comparative analysis shows the CoCoB as well as popularly used Adam optimizers are quite effective in finding optimal classification results for detection of fake news related to COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

12.
EAI/Springer Innovations in Communication and Computing ; : 295-323, 2022.
Article in English | Scopus | ID: covidwho-1536250

ABSTRACT

Introduction: The COVID-19 pandemic has been declared a virulent epidemic by many around the world as it has caused a state of lockdown in most parts of the globe, which besets a great economic impact on the world economy. In lieu of this crisis, it is important to comprehend and estimate the total loss in order to perform crisis management and mitigate the decimation of economy. Objectives: This study aims to estimate the impact from the perspective of the Indian economy, with special emphasis on the service sector. Since the service sector forms the most colossus and cardinal part of the Indian economy, this research estimates the potential decline in the GDP and employment contributions of the service sector and its various subsectors. Methods: It implements contemporary regression models to fulfill the mentioned objective by analyzing how the potential decline, as predicted by the IMF, in gross domestic product (GDP) will affect the service sectors and its various subsectors. This is accomplished in four stages: (1) data selection and comprehension of the features dataset for each subsector, (2) understanding the co-dependency of various features, (3) using regression techniques to predict values, and (4) error calculation and results. Additionally, it also presents an elaborated and comprehensive explanation of the same, thereby suggesting some potential solutions to ameliorate the decline. Results: This research is a compendium of the aftereffects that the Indian economy will face post-COVID-19 breakdown. 1.The travel and tourism subsector faces a steep drop of 20.702%, while its employment contribution declines by 59.052%.2.Finance, real estate and business services sector’s contribution to GDP will see a gigantic drop of 20% in the first quarter, which will step down to 88.65% toward the last quarter of the coming economic year, while the sector’s contribution to employment will see an enormous decline of 98.96%.3.The contribution of trade, transportation, and communication undergoes a vast drop of 92.007% toward its GDP contribution, while its employment contribution has a hefty decline of 63.555%. Conclusion: This study explicitly evaluates and elaborates the economic perspective of the aftereffects of the pandemic across each of the major subsector category of the service sector of India for the fiscal year 2020–2021. It studies successfully and maps the impact of the pandemic on the Indian economy, thereby paving way to identify the solutions to mitigate the same. It also provides a set of preventive measures to address the issues identified. In future work, this study attempts to explore the social economic effects of the same in the post-COVID-19 world. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

13.
Asia Pacific Journal of Health Management ; 16(3), 2021.
Article in English | Scopus | ID: covidwho-1478892

ABSTRACT

INTRODUCTION: The Coronavirus (COVID-19) pandemic has impacted the economy and has resulted in changes to the working arrangements of employees who are based at home and may continue to work from home (WFH). Organizations are expected to develop an inclusive policy for their employees to promote mental health whilst working from home. The aim of this study was to document the impact of WFH on mental health and determine the expectations of employees from their organizations regarding occupational health policy. METHODOLOGY: A cross-sectional study was conducted on the impact of work from home on mental health and to document the mental health support needs of employees. Google form was floated through social media platform to receive the responses. A total of 74 responses were received. Descriptive analysis was conducted using Microsoft Excel, while qualitative answers were manually analysed. RESULTS: About 67% employees (n=45) mentioned that their workload has increased significantly during work from home. Thirty five percent (n=26) felt lonely and lost and 47% (n= 34) felt disconnected from the real world, indicating the mental health impact of work from home. Fifty three percent employees (n=40) mentioned that there were no efforts made by their organization to reduce the mental health impact of work from home. CONCLUSION: The results of this study indicate that there is an urgent need to create a comprehensive occupational health and safety policy inclusive of strategies to improve mental health by the organizations in light of "work from home" as a "new-normal". © The Author(s), 2021.

14.
EAI/Springer Innovations in Communication and Computing ; : 31-65, 2022.
Article in English | Scopus | ID: covidwho-1404619

ABSTRACT

The rapid spread of the coronavirus disease 2019 (COVID-19) epidemic poses a threat to human civilization. This infectious outbreak induced a global menace, resulting in day-to-day community and social services standstill. Countries like China and Italy are positioned at an alarming stage of this pandemic, and India is also testifying a rapid outbreak of the COVID-19.This unprecedented scenario warrants the formulation of a robust mechanism to estimate the misfortunes of this pandemic in these three countries to assist governments in countermeasuring the COVID-19 catastrophe. In the light of fast varying fatality data rendered by the World Health Organization (WHO), a spectrum of case-based fatality assessments for the COVID-19 is presented that differs considerably in measurements. This publication elucidates the scope of the curve-fitting methods in terms of the goodness-of-fit statistics and support vector machine-based regression (SVR) in estimating the misfortunes of COVID-19 in China, Italy, and India in a given time frame. Consequently, we achieved a reasonably small root mean squared error (RMSE) for the SVR method in predicting the adversities induced by this global pandemic in China and India. In contrast, conventional regression offers a better estimate to sketch the outbreak pattern in Italy. © 2022, Springer Nature Switzerland AG.

15.
6th International Conference on Emerging Applications of Information Technology, EAIT 2020 ; 292:159-171, 2022.
Article in English | Scopus | ID: covidwho-1391812

ABSTRACT

Recently the COVID-19 pandemic outbreak is inflicting devastation on human civilization. This infectious virus spreads like wildfire, already affected millions worldwide, and the numbers are still increasing. This situation warrants a comprehensive strategy backed by futuristic estimations to counter COVID-19 adversities. Like any other country globally, India is also encountering an uphill task to fight against this unfortunate pandemic, with six million-plus COVID-19 cumulative infected cases by the first week of October 2020. This publication elucidates the use of four state-of-art models, namely the Abbasov - Mamedova (AM) Fuzzy, proposed Multilayer Perceptron (MLP), Auto-ARIMA, and Auto-MLP, to forecast the number of cumulative infected COVID-19 cases in India. These models exhibited high forecast accuracy for 30 days ahead scenario with MAPE ranges from 0.44 to 1.83% in the test condition, whereas a MAPE range of 1.09 to 2.39% in real-time. We estimated the COVID-19 cases fortnightly and observed that the proposed MLP exhibited the flattening of the COVID-19 curve, whereas other models exhibited a rising trend. Though our proposed MLP outperformed other models, we employed all four methods and estimated a range between 8.53 to 13.77 million COVID-19 positives by 4th January 2021 in India. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

16.
Frontiers in Marine Science ; 2021.
Article in English | ProQuest Central | ID: covidwho-1379962

ABSTRACT

COronaVIrus Disease (COVID) 2019 pandemic forced the countries to go into complete lockdown and India went on complete lockdown from March 24th – June 8th 2020. In order to understand the possible implications of lockdown, we analyse the long-term distribution of Net Primary Productivity (NPP) in the north Indian Ocean (NIO) and the factors that influence NPP directly and indirectly, for the period 2003–2019 and 2020 separately. There exists a seasonal cycle in the correlation between AOD, Chlorophyll–a (Chl–a) and NPP in agreement with the seasonal transport of aerosols and dust into these oceanic regions. In Arabian Sea (AS), the highest Chl–a (0.58 mg/m3), NPP (696.57 mg/C/m2/day) and AOD (0.39) are observed in JJAS (June, July, August and September) and In BoB, maximum Chl–a (0.48 mg/m3) and NPP (486.39 mg/C/m2/day) are found in JJAS and AOD (0.27) in MAM (March, April and May). The interannual variability of Chl–a and NPP with wind speed and Sea Surface Temperature (SST) is also examined, where the former has a positive and the latter has a negative feedback to NPP. The interannual variability of NPP reveals a decreasing trend in NPP, which is interlinked with the increasing trend in SST and AOD. The analysis of wind, SST, Chl–a, and AOD for the pre-lockdown, lockdown, and post lockdown periods of 2020 is used to understand the impact of COVID-19 lockdown. The assessment shows the reduction in AOD, decreased wind speeds, increased SST and reduced NPP during the lockdown period as compared to the pre-lockdown, post-lockdown and climatology. The year 2018 is also analysed separately during these periods to understand the influence of lockdown in NIO. This analysis will help to understand the impact of aerosols on the ocean biogeochemistry, nutrient cycles in the ocean biogeochemical models, and to study the effects of climate change on ocean ecosystems.

17.
IOP Conference Series. Materials Science and Engineering ; 1170(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1379429

ABSTRACT

Though the past industrial revolutions had unleashed many of the world’s current problems including the Covid-19 virus but the 4th industrial revolution promises a sustainable future through the use of advanced materials like Nanotechnology. Not at all new, the use of this disruptive technology had its footprints in the pages of history - Ajanta Paintings, Damascus Sword & many others. Nano Titanium dioxide (58%) and Nano silica (21%) are the most used advanced materials in the nanotechnology-based building products while China in Asia and Germany in Europe are the two leading countries in the field of production of nanomaterials for building industry. India has been amongst the five top countries globally for technical publications in nano sciences & technology. This paper delves into the world of advanced nanomaterials and studies their impact on the construction industry vis-a-vis the built environment in India and abroad.

18.
Lecture Notes on Data Engineering and Communications Technologies ; 62:57-69, 2021.
Article in English | Scopus | ID: covidwho-1188072

ABSTRACT

The novel coronavirus (nCoV-2019) was first apparent in Wuhan city in China, which impacted the world and its peoples. This epidemic severely influenced the global equilibrium of humankind, including the USA, where the number of affected cases reached more than 4,323,160 by the end of July 2020. Therefore, the COVID-2019 outbreak scenario warrants a sound forecasting model to accurately predict the catastrophe in human lives that resulted from this pandemic. In this study, the Fuzzy Time Series (FTS) forecasting model for COVID-19 employed to analyze and predict the number of cumulative infected cases of the USA by employing the Abbasov and Mamedova model. Our experiment used 145 days of infected cases of the USA rendered from the World Health Organization (WHO). The optimized model achieved through tuning three hyper parameters of the Abbasov and Mamedova model. To estimate the model performance, we evaluated the forecast accuracy through the lenses of Mean Absolute Percentage Error (MAPE) and Theil U statistics, followed by a comparison between the forecasted with actual observations. We observed that the recommended FTS model’s forecasting is reliable and acceptable up to 35 days ahead of forecasting. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

20.
International Journal of Information and Learning Technology ; 2021.
Article in English | Scopus | ID: covidwho-1159210
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