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Article ; Online: Empowering elderly care with intelligent IoT-Driven smart toilets for home-based infectious health monitoring.

Kumar, Dheeraj / Sood, Sandeep Kumar / Rawat, Keshav Singh

2023 Volume 144, Page(s) 102666

Abstract: The COVID-19 pandemic highlights the need for effective and non-intrusive methods to monitor the well-being of elderly individuals in their homes, especially for early detection of potential viral infections. Conspicuously, the present paper develops a ... ...

Abstract	The COVID-19 pandemic highlights the need for effective and non-intrusive methods to monitor the well-being of elderly individuals in their homes, especially for early detection of potential viral infections. Conspicuously, the present paper develops a Multi-scaled Long Short Term Memory (Ms-LSTM) model for the routine health monitoring of elderly patients to detect COVID-19. The proposed method offers home-based health diagnostics through urine analysis by leveraging the IoT-Fog-Cloud paradigm. Mainly, the proposed model constitutes a four-layered architecture: data acquisition, fog layer, cloud layer, and interface layer. Each layer serves distinct functionalities and provides specific services, thereby collectively enhancing the overall effectiveness of the model. The statistical results of the study demonstrate the superior performance of the proposed Ms-LSTM model in comparison to state-of-the-art methods, including Artificial Neural Networks (ANN), K-Nearest Neighbors (K-NN), Support Vector Machine (SVM), Random Forest, and LSTM. Further, the proposed model attains a mean temporal efficiency of 39.23 seconds. It exhibits high reliability (92.97%), stability (70.06%), and predictive accuracy (93.25%).
MeSH term(s)	Humans ; Bathroom Equipment ; Pandemics ; Reproducibility of Results ; COVID-19 ; Power, Psychological
Language	English
Publishing date	2023-09-20
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	645179-2
ISSN	1873-2860 ; 0933-3657
ISSN (online)	1873-2860
ISSN	0933-3657
DOI	10.1016/j.artmed.2023.102666
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Article: A visual review of artificial intelligence and Industry 4.0 in healthcare.

Sood, Sandeep Kumar / Rawat, Keshav Singh / Kumar, Dheeraj

Computers & electrical engineering : an international journal

2022 Volume 101, Page(s) 107948

Abstract: The COVID-19 outbreak has led to a substantial loss of human life throughout the world and has a tremendous impact on healthcare services. Industry 4.0 technologies have established effective supply chain management towards the fulfillment of customized ... ...

Abstract	The COVID-19 outbreak has led to a substantial loss of human life throughout the world and has a tremendous impact on healthcare services. Industry 4.0 technologies have established effective supply chain management towards the fulfillment of customized demands in the healthcare field. In addition, the internet of things, artificial intelligence, big data analytics, and 3D printing have been extensively used to combat the COVID-19 pandemic and assist in providing value-added services in the healthcare sector. Henceforth, this paper presents a scientometric analysis on the literature of aforementioned Industry 4.0 technologies in the context of COVID-19. It provides extensive insights into co-citation and co-occurrence analysis of high cited publications, participating countries, influential authors, prolific journals, and keywords using the CiteSpace tool. The analyses reveal that China has produced the highest research outputs, although India is the most collaborative country in this field. The current research hotspots include supply chain, 4D printing, and social distancing technologies. Furthermore, it explores emerging trends, intellectual structure of publications, research frontiers, and potential research directions for further work in the Industry 4.0 assisted healthcare domain.
Language	English
Publishing date	2022-04-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	1501325-X
ISSN	1879-0755 ; 0045-7906
ISSN (online)	1879-0755
ISSN	0045-7906
DOI	10.1016/j.compeleceng.2022.107948
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Article ; Online: Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace.

Sood, Sandeep Kumar / Rawat, Keshav Singh / Kumar, Dheeraj

Telematics and informatics

2022 Volume 69, Page(s) 101796

Abstract: The prevalence of severe infectious diseases has become a major global health concern. Currently, the COVID-19 outbreak has spread across the world and has created an unprecedented humanitarian crisis. The proliferation of novel viruses has put ... ...

Abstract	The prevalence of severe infectious diseases has become a major global health concern. Currently, the COVID-19 outbreak has spread across the world and has created an unprecedented humanitarian crisis. The proliferation of novel viruses has put traditional health systems under immense pressure and posed several serious issues. Henceforth, early detection, identification, rapid testing, and advanced surveillance systems are required to address public health emergencies. However, Information and Communication Technology (ICT) tackles several issues raised by this pandemic and significantly improves the quality of services in the health care sector. This paper presents an ICT-assisted scientometric analysis of infectious diseases, namely, airborne, food & waterborne, fomite-borne, sexually transmitted illnesses, and vector-borne illnesses. It assesses the international research status of this field in terms of citation structure, prolific journals, and country contributions. It has used the CiteSpace tool to address the visualization needs and in-depth insights of scientific literature to pinpoint core hotspots, research frontiers, emerging research areas, and ICT trends. The research finding reveals that mobile apps, telemedicine, and artificial intelligence technologies have greater scope to reduce the threats of infectious diseases. COVID-19, influenza, HIV, and malaria viruses have been identified as research hotspots whereas COVID-19, contact tracing applications, security and privacy concerns about users' data are the recent challenges in this field that need to address. The United States has produced higher research output in all domains of infectious diseases. Furthermore, it explores the co-occurrence network analysis and intellectual landscape of each domain of infectious diseases. It provides potential research directions and insightful clues to researchers and the academic fraternity for further research.
Language	English
Publishing date	2022-03-08
Publishing country	United States
Document type	Journal Article ; Review
ISSN	1879-324X
ISSN (online)	1879-324X
DOI	10.1016/j.tele.2022.101796
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: A fog assisted intelligent framework based on cyber physical system for safe evacuation in panic situations.

Sood, Sandeep Kumar / Rawat, Keshav Singh

Computer communications

2021 Volume 178, Page(s) 297–306

Abstract: In the current scenario of the COVID-19 pandemic and worldwide health emergency, one of the major challenges is to identify and predict the panic health of persons. The management of panic health and on-time evacuation prevents COVID-19 infection ... ...

Abstract	In the current scenario of the COVID-19 pandemic and worldwide health emergency, one of the major challenges is to identify and predict the panic health of persons. The management of panic health and on-time evacuation prevents COVID-19 infection incidences in educational institutions and public places. Therefore, a system is required to predict the infection and suggests a safe evacuation path to people that control panic scenarios with mortality. In this paper, a fog-assisted cyber physical system is introduced to control panic attacks and COVID-19 infection risk in public places. The proposed model uses the concept of physical and cyber space. The physical space helps in real time data collection and transmission of the alert generation to the stakeholders. Cyberspace consists of two spaces, fog space, and cloud-space. The fog-space facilitates panic health and COVID-19 symptoms determination with alert generation for risk-affected areas. Cloud space monitors and predicts the person's panic health and symptoms using the SARIMA model. Furthermore, it also identifies risk-prone regions in the affected place using Geographical Population Analysis. The performance evaluation acknowledges the efficiency related to panic health determination and prediction based on the SARIMA with risks mapping accuracy. The proposed system provides an efficient on time evacuation with priority from risk-affected places that protect people from attacks due to panic and infection caused by COVID-19.
Language	English
Publishing date	2021-08-31
Publishing country	England
Document type	Journal Article
ISSN	0140-3664
ISSN	0140-3664
DOI	10.1016/j.comcom.2021.08.022
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Article: A scientometric analysis of ICT-assisted disaster management.

Sood, Sandeep Kumar / Rawat, Keshav Singh

Natural hazards (Dordrecht, Netherlands)

2021 Volume 106, Issue 3, Page(s) 2863–2881

Abstract: In recent years, natural and manmade disasters such as floods, earthquakes, wildfires, and tsunamis have occurred with human losses and environmental deterioration. Henceforth, to reduce the damage caused by these catastrophic events, the administration ... ...

Abstract	In recent years, natural and manmade disasters such as floods, earthquakes, wildfires, and tsunamis have occurred with human losses and environmental deterioration. Henceforth, to reduce the damage caused by these catastrophic events, the administration and government need to track victims and perform synchronized relief efforts on time at the disaster sites. The promising technologies of Internet communication technology (ICT), like the Internet of things, cloud computing, and data analytics, can assist various phases of disaster management. Moreover, the role of higher education spans all stages of disaster management: preparedness, response, and recovery. As educational and research contributions, higher educational institutes are essentially involved in all the disaster management stages to contribute to society broadly. Henceforth, the scientific analysis of disaster management literature is required to analyze the overall structure and developments in this domain. This study presents a scientometric analysis that evaluates the ICT-assisted disaster management research over the last 15 years (2005-2020). It presents various empirical ways to analyze the evolution, status, and result of ICT-assisted in disaster management research. This study provides extensive insight into the publication growth, citation analysis, collaboration, and keyword co-occurrence analysis for technological trends of the ICT-assisted disaster management research. It identifies key journals, countries, and organizations that significantly contributed to this research domain. Overall, this study presents various patterns, research trends, and collaborations as the basic structure for future research in this field.
Language	English
Publishing date	2021-01-22
Publishing country	Netherlands
Document type	Journal Article ; Review
ZDB-ID	2017806-2
ISSN	1573-0840 ; 0921-030X
ISSN (online)	1573-0840
ISSN	0921-030X
DOI	10.1007/s11069-021-04512-3
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Article: Identification of promising chickpea interspecific derivatives for agro-morphological and major biotic traits.

Singh, Mohar / Kumar, Tapan / Sood, Salej / Malhotra, Nikhil / Rani, Upasana / Singh, Sarvjeet / Singh, Inderjit / Bindra, Shayla / Kumar, Sanjeev / Kumar, Sandeep

Frontiers in plant science

2022 Volume 13, Page(s) 941372

Abstract: ... The ... ...

Abstract	The wild
Language	English
Publishing date	2022-08-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2022.941372
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Article ; Online: ICT in disaster management context: a descriptive and critical review.

Kaur, Mandeep / Kaur, Pankaj Deep / Sood, Sandeep Kumar

Environmental science and pollution research international

2022 Volume 29, Issue 57, Page(s) 86796–86814

Abstract: Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been ... ...

Abstract	Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been neglected. This study is intended to reveal the worldwide research status of hydro-meteorological disasters and various ITs in hazard management through a descriptive and critical review of existing literature. The bibliographic data is collected from Scopus and PATSTAT from 2010 to 2019. This study provides a basic framework for data acquisition, literature selection, and analysis of published documents. A descriptive review of selected literature is conducted to reveal the growth of publications w.r.t. year-wise reported hazards, citation analysis of published documents, patent analysis, geographical status of different hazards research, most influential journals, institutions, and documents. Further, critical review is conducted to analyze the environmental issues, recent developments in ICT-based disaster management, resilience concerns, key research areas, and challenges to implement ICT in disaster management. The present analysis depicts the importance of information technology in disaster management and offers guidance for future disaster management work supported by IT.
MeSH term(s)	Disaster Planning ; Disasters ; Bibliometrics ; Publications ; Safety Management
Language	English
Publishing date	2022-07-07
Publishing country	Germany
Document type	Review ; Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-21475-5
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Article ; Online: ICT in disaster management context: a descriptive and critical review

Kaur, Mandeep / Kaur, Pankaj Deep / Sood, Sandeep Kumar

Environ Sci Pollut Res. 2022 Dec., v. 29, no. 57 p.86796-86814

2022

Abstract	Disasters cause catastrophic events that lead to fatalities, damage, and social disturbance. Hydrological and meteorological disasters have an enormous impact worldwide. The impact of IT (Information Technology) in managing these disasters has been neglected. This study is intended to reveal the worldwide research status of hydro-meteorological disasters and various ITs in hazard management through a descriptive and critical review of existing literature. The bibliographic data is collected from Scopus and PATSTAT from 2010 to 2019. This study provides a basic framework for data acquisition, literature selection, and analysis of published documents. A descriptive review of selected literature is conducted to reveal the growth of publications w.r.t. year-wise reported hazards, citation analysis of published documents, patent analysis, geographical status of different hazards research, most influential journals, institutions, and documents. Further, critical review is conducted to analyze the environmental issues, recent developments in ICT-based disaster management, resilience concerns, key research areas, and challenges to implement ICT in disaster management. The present analysis depicts the importance of information technology in disaster management and offers guidance for future disaster management work supported by IT.
Keywords	data collection ; disaster preparedness ; hydrometeorology ; information technology
Language	English
Dates of publication	2022-12
Size	p. 86796-86814.
Publishing place	Springer Berlin Heidelberg
Document type	Article ; Online
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-21475-5
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A novel consensus-based computational pipeline for screening of antibody therapeutics for efficacy against SARS-CoV-2 variants of concern including Omicron variant.

Kumar, Naveen / Kaushik, Rahul / Zhang, Kam Y J / Uversky, Vladimir N / Sahu, Upasana / Sood, Richa / Bhatia, Sandeep

Proteins

2023 Volume 91, Issue 6, Page(s) 798–806

Abstract: Multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to evolve carrying flexible amino acid substitutions in the spike protein's receptor binding domain (RBD). These substitutions modify the binding of the SARS-CoV-2 to ...

Abstract	Multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to evolve carrying flexible amino acid substitutions in the spike protein's receptor binding domain (RBD). These substitutions modify the binding of the SARS-CoV-2 to human angiotensin-converting enzyme 2 (hACE2) receptor and have been implicated in altered host fitness, transmissibility, and efficacy against antibody therapeutics and vaccines. Reliably predicting the binding strength of SARS-CoV-2 variants RBD to hACE2 receptor and neutralizing antibodies (NAbs) can help assessing their fitness, and rapid deployment of effective antibody therapeutics, respectively. Here, we introduced a two-step computational framework with 3-fold validation that first identified dissociation constant as a reliable predictor of binding affinity in hetero- dimeric and trimeric protein complexes. The second step implements dissociation constant as descriptor of the binding strengths of SARS-CoV-2 variants RBD to hACE2 and NAbs. Then, we examined several variants of concerns (VOCs) such as Alpha, Beta, Gamma, Delta, and Omicron and demonstrated that these VOCs RBD bind to the hACE2 with enhanced affinity. Furthermore, the binding affinity of Omicron variant's RBD was reduced with majority of the RBD-directed NAbs, which is highly consistent with the experimental neutralization data. By studying the atomic contacts between RBD and NAbs, we revealed the molecular footprints of four NAbs (GH-12, P2B-1A1, Asarnow_3D11, and C118)-that may likely neutralize the recently emerged Omicron variant-facilitating enhanced binding affinity. Finally, our findings suggest a computational pathway that could aid researchers identify a range of current NAbs that may be effective against emerging SARS-CoV-2 variants.
MeSH term(s)	Humans ; SARS-CoV-2/genetics ; Consensus ; COVID-19 ; Antibodies, Neutralizing
Chemical Substances	Antibodies, Neutralizing
Language	English
Publishing date	2023-01-16
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	806683-8
ISSN	1097-0134 ; 0887-3585
ISSN (online)	1097-0134
ISSN	0887-3585
DOI	10.1002/prot.26467
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Article ; Online: Differential miRNA expression profiling of highly pathogenic avian influenza virus H5N1 infected chicken lungs reveals critical microRNAs, biological pathways and genes involved in the molecular pathogenesis.

Mishra, Anamika / Asaf, Muhasin / Kumar, Amod / Kulkarni, Diwakar Dattatreya / Sood, Richa / Bhatia, Sandeep / Bhushan, Bharat / Raut, Ashwin Ashok

Virologica Sinica

2022 Volume 37, Issue 3, Page(s) 465–468

MeSH term(s)	Animals ; Chickens ; Influenza A Virus, H5N1 Subtype/genetics ; Influenza A virus/genetics ; Influenza in Birds ; Lung ; MicroRNAs/genetics ; MicroRNAs/metabolism
Chemical Substances	MicroRNAs
Language	English
Publishing date	2022-03-09
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1011219-4
ISSN	1995-820X ; 1000-3223 ; 1003-5125
ISSN (online)	1995-820X
ISSN	1000-3223 ; 1003-5125
DOI	10.1016/j.virs.2022.03.004
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