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1.
Advances and Applications in Statistics ; 82:101-124, 2022.
Article in English | Web of Science | ID: covidwho-2328179

ABSTRACT

The COVID-19 pandemic has forced us to restrict human physical interaction;given this context, the demand for artificial intelligence (AI) and robots is likely to increase in the future. Moreover, the current recession due to the pandemic and global lockdown restrictions has impacted job markets worldwide. Nevertheless, technology enthusiasts believe that the market will see increased job demand in the domain of analytics in the future, and interestingly, this field has grown exponentially in the recent past, triggering high demand for analytics professionals. This study examines the skill sets for prospective data analytics professionals and maps them based on various job profiles offered to data science professionals and provides a comprehensive picture of the data science landscape and alleviates the misconceptions of students and gives them the right perspective. The study also provides detailed insights on the jobs available to analytics professionals across profiles, places, and companies specifically in the Indian context.

2.
Advances and Applications in Statistics ; 79:25-54, 2022.
Article in English | Web of Science | ID: covidwho-2326237

ABSTRACT

The COVID-19 pandemic is far from over, caused by severe acute respiratory disease. Coronavirus2 continues to impact people's health and well-being worldwide significantly, and vaccination is the only way to stop the spread. As vaccines are developed, one of the Indian government's major challenges is vaccine adoption. The Indian government and policymakers should develop a plan to encourage and build trust in people for vaccine benefits. This study aims to identify the major issues acting as a barrier to vaccine hesitancy using primary data obtained in India between January-March 2021. This study shows that the 76% respondents were ready to accept the vaccine if it is available to them while 24% were hesitant. The study has investigated the association of demographic and geographical information of people with vaccines acceptance. The study has found that older people were more likely to accept the vaccines in comparison to young adults. A significant difference in vaccine acceptance due to the participants belonging to rural/urban areas is also observed. Additionally, we also noted that the educated people and working professionals were more likely to accept the vaccine than others. The study's findings may be beneficial to the government in developing efficient vaccination acceptance strategies for the Indian populace.

3.
Journal of Global Operations and Strategic Sourcing ; 2022.
Article in English | Scopus | ID: covidwho-2018510

ABSTRACT

Purpose: This study aims to comprehend the application of analytics in the supply chain during the ongoing COVID-19 crisis and identify the emerging themes. Design/methodology/approach: The author downloaded a list of research articles on the application of analytics to the supply chain from SCOPUS, conducted a systematic literature review for exploratory analysis and proposed a framework. Notably, the author used the topic modeling technique to identify research themes published during the ongoing COVID-19 crisis and thereby underscore some future research directions. Findings: The author found that artificial intelligence, machine learning, internet of thing and blockchain are trending topics. Additionally, the author identified five themes by topic modeling, including the theme “Social Media information in Supply chain.” Research limitations/implications: The results were derived from a data set extracted from SCOPUS. Thus, the author excluded all studies not listed in SCOPUS from the analysis. Future research with articles indexed in other databases should be investigated to get a more holistic perspective of specific themes. Practical implications: This study provides a deeper understanding and proposes a framework for applications of analytics in the supply chain that researchers could use for future research and industry practitioners to implement in their organizations to make a more sustainable and resilient supply chain. Originality/value: This study provides exploratory information from published articles on the use of analytics in the supply chain during the COVID-19 crisis and generates themes that help understand the emerging and underpinned area of research. © 2022, Emerald Publishing Limited.

4.
Journal of Nuclear Medicine ; 62(SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1312155

ABSTRACT

Objectives: COVID-19 pneumonia is documented to produce pulmonary thromboembolism. Despite achievingCOVID negative status, few patients continue to be symptomatic, especially with respiratory distress. This has beennoted particularly in those patients who had severe pulmonary involvement requiring high flow oxygenadministration at the time of admission. It often becomes challenging to correlate the clinical findings, D-dimervalues and ultrasonographic evaluation to rule out deep vein thrombosis related acute pulmonary embolism in thesepatients. Computed tomography pulmonary angiography has many limitations in assessing pulmonary embolism inthese patients as there are several other lung findings which can be seen in this cohort. Lung perfusion scintigraphywith SPECT/CT is a valuable tool in evaluation of pulmonary embolism. Lung perfusion scintigraphy in thesepatients, as a part of evaluation of pulmonary thromboembolism after recovering from COVID-19 pneumonia shows a multitude of findings. The aim of this exhibit is to acquaint the imaging physicians with these findings and henceimprove the diagnostic accuracy of pulmonary embolism in these patients. Methods: Records of lung perfusion scintigraphy with SPECT/CT done in patients with post COVID-19 pneumoniawere reviewed. Those patients who had severe symptoms clinically were reviewed for the imaging findings. Typicalperfusion finding of a wedge shaped perfusion defect in the planar imaging along with no lung parenchymal changesshould be easy to identify as well as strongly suggests the diagnosis of pulmonary embolism. However, somepatients might show difficult to interpret images in the planar and SPECT/CT imaging which requires careful analysisof both the perfusion and corresponding CT images. Results: Different possible findings of lung perfusion scintigraphy with SPECT/CT are presented. These includesclassical wedge shaped segmental defects in the planar as well as SPECT/CT imaging with (matched defects) orwithout (mismatched defects) corresponding various lung parenchymal findings (diffuse ground glassing, subpleuralground glassing, subsegmental cystic areas, parenchymal consolidation, fibrosis, interlobular reticulation) in the CTimages. Apart from the classical segmental defects, a good number of subsegmental perfusion defects are alsonoted in many cases, which poses a challenge in diagnosing the pulmonary embolism in these patients. Conclusions: In the wake of COVID-19 pandemic, ventilation scintigraphy carries an inherent risk of COVID-19exposure to the imaging personnel. However, the lung perfusion scintigraphy with added SPECT/CT imaging servesto overcome the deficiency of ventilation imaging. This exhibit illustrates the common and uncommon perfusion andcomputed tomography lung findings in those patients who recovered from COVID-19 infection and continue to besymptomatic, requiring supportive therapy. The knowledge of these findings will help the readers in interpreting theclinical and laboratory findings and correlate it with the lung perfusion imaging in any patient who have recoveredfrom COVID-19 infection. (Figure Presented).

5.
International Journal of Research in Pharmaceutical Sciences ; 11(Special Issue 1):931-933, 2020.
Article in English | Scopus | ID: covidwho-903285

ABSTRACT

Smoking is always said to be a risk factor in many of the health conditions. Smokers are always at a higher risk. COVID 19 is a whole new chapter of its own. Recent research has stated that in COVID-19 smokers are 14 times more prone to death. Awareness in Indians is lacking, and they do not know the effects of smoking. Literature refers to the comorbidities like smoking, can-cer, cardiovascular disease, chronic obstructive pulmonary disease diabetes etc. as ”pre-existing conditions”. The term coronavirus is used because of their appearance to a crown-like structure having long spikes of transmembrane glycoproteins. The link between coronavirus and smokers is still unknown. the role of angiotensin in smokers and its link-up with coronavirus needs to be understood. However, clarification regarding the casual link of these comorbidities to COVID-19 does not exist in the present literature. This article focuses on the link between smoking and COVID 19 and its effects. It pro-vides detailed knowledge regarding the link between coronavirus and smok-ers, which is the need of the hour as awareness is necessary for the present condition. This article focuses on the present condition as well as the link between smokers and the coronavirus. © 2020 Global Research Online. All rights reserved.

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