Analytical Impact of Technology on the COVID-19 Pandemic

Bathla, Devesh; Awasthi, Satish Kumar

doi:10.4018/978-1-7998-8081-3.ch015

Cited by 13 publications

(3 citation statements)

References 4 publications

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“…Over the past few years, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) responsible for the Coronavirus Disease 2019 (COVID-19) has reshaped our way of life, resulting in substantial health, social and economic problems [1][2][3]. On 30 January 2020, COVID-19 was designated as a Public Health Emergency of International Concern (PHEIC) by the World Health Organization (WHO) and categorized as a pandemic after nearly a month (11 March 2020) [4,5].…”

Section: Introductionmentioning

confidence: 99%

The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis

Zhou,

Vestri,

Marchesano

et al. 2023

Biosensors

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The World Health Organization (WHO) declared in a May 2023 announcement that the COVID-19 illness is no longer categorized as a Public Health Emergency of International Concern (PHEIC); nevertheless, it is still considered an actual threat to world health, social welfare and economic stability. Consequently, the development of a convenient, reliable and affordable approach for detecting and identifying SARS-CoV-2 and its emerging new variants is crucial. The fingerprint and signal amplification characteristics of surface-enhanced Raman spectroscopy (SERS) could serve as an assay scheme for SARS-CoV-2. Here, we report a machine learning-based label-free SERS technique for the rapid and accurate detection and identification of SARS-CoV-2. The SERS spectra collected from samples of four types of coronaviruses on gold nanoparticles film, fabricated using a Langmuir–Blodgett self-assembly, can provide more spectroscopic signatures of the viruses and exhibit low limits of detection (<100 TCID50/mL or even <10 TCID50/mL). Furthermore, the key Raman bands of the SERS spectra were systematically captured by principal component analysis (PCA), which effectively distinguished SARS-CoV-2 and its variant from other coronaviruses. These results demonstrate that the combined use of SERS technology and PCA analysis has great potential for the rapid analysis and discrimination of multiple viruses and even newly emerging viruses without the need for a virus-specific probe.

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Section: Introductionmentioning

confidence: 99%

The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis

Zhou,

Vestri,

Marchesano

et al. 2023

Biosensors

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show abstract

“…However, to cope up with the conditions of increasing stress and anxiety level during the pandemic, the individuals were inclined towards engaging themselves in various entertainment programs and activities (Eden et al, 2020). In spite of initial setbacks, the new-age technologies have been a boon for all the industries including media and entertainment to sustain the adverse effects of the pandemic (Bathla & Awasthi, 2021). The global audience have started depending on one of the emerging media streaming services called Over-The-Top (OTT) more than ever for their entertainment purpose (Raghuvanshi & Saha, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…To stop COVID-19’s spread, several measures were such as working from home, cancellation of major events, limited or no access to restaurants, bars, movie theatres and so forth were made to follow. Subsequently along with COVID-19-related health concerns, these measures led to increased stress and anxiety levels (De Ridder et al, 2021). Especially for adolescents, who highly rely on social contacts with peers, the prolonged period of social isolation had detrimental effects on their mental health (Yang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Adoption and Challenges Underlying OTT Platform in India during Pandemic: A Critical Study of Socio-Economic and Technological Issues

Patnaik¹,

Patra

Mahapatra³

et al. 2022

FIIB Business Review

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The present era of rapid technological changes and the rising rate of internet penetration has created a stride for an individual’s entertainment preferences. The rise of Over-the-Top (OTT) media services has made strides by altering the media space during the pandemic caused by COVID. Smart phones and access to broad band made OTT acceptable by a large part of the population worldwide. The handheld device OTT is becoming the preferred mode of content consumption by the viewers in India as well. However, there are certain shortcomings of this emerging mode of media mostly in terms of socio-economic as well as technological issues. In addition to finding the growing demands of OTT, present study emphasized on the challenges posed for the adoption of this rapidly preferred media platform. On the analysis of the data collected from the respondents in the twin city of Odisha (Cuttack and Bhubaneswar), the findings revealed three prime factors such as ‘user behaviour’, ‘technological flexibility’ and ‘customer-centric content’ to be the significant influencers of OTT content. The insights of this study can help the regulatory authorities as well as OTT media players in promotion and strategy formulation.

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Impact of Customer Segmentation and Customer Loyalty With Reference to Big Data

Bathla

Ahuja

Singh

2022

Promoting Consumer Engagement Through Emotional Branding and Sensory Marketing

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Today, the businesses and market are all about data. So, this research work is focusing on performing segmentation analysis on customers and how important it is for a brand to retain their customers in such a competitive market. The background used for the customer segmentation are loyalty programs; they play a major role. All the major brands make best use of data in their loyalty program and target their customers accordingly. Success of every organization depends on the satisfaction of customers, which comes in the picture only when a brand is able to target rightly and retain them. The objective is performing an analysis on the customer segmentation and retention using big data. With the significant resources available, the authors analyse the changing market and how data is helping brands to run their loyalty programs.

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Analytical Impact of Technology on the COVID-19 Pandemic

Cited by 13 publications

References 4 publications

The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis

The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis

Adoption and Challenges Underlying OTT Platform in India during Pandemic: A Critical Study of Socio-Economic and Technological Issues

Impact of Customer Segmentation and Customer Loyalty With Reference to Big Data

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