Impact of COVID-19 Pandemic on Plastic Waste Management: A Bibliometric Analysis by using Dimension.ai

Nezha Mejjad; Rida Farhan; Nabil Chakhchaoui; Nabil Chakhchaoui; Nisha Shankhwar; Aynur Unal; Hari Murthy; Prosenjit Saha; Omar Cherkoui; Sabu Thomas

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Paper

Impact of COVID-19 Pandemic on Plastic Waste Management: A Bibliometric Analysis by using Dimension.ai

In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning BML - Volume 1, 538-545, 2021 , Kenitra, Morocco

Authors: Nezha Mejjad ¹ ; Rida Farhan ² ; Nabil Chakhchaoui ^{3

;

4} ; Nisha Shankhwar ⁵ ; Aynur Unal ⁶ ; Hari Murthy ⁷ ; Prosenjit Saha ⁸ ; Omar Cherkoui ⁴ and Sabu Thomas ⁸

Affiliations: ¹ Faculty of sciences Ben M'sik, Hassan II University ; ² Laboratory of Physics of Condensed Matter (LPMC), Faculty of Sciences Ben M'Sick, Hassan II University of Casablanca, Morocco, Canada ; ³ BGIM Laboratory, Higher Normal School (ENS), Hassan II University of Casablanca, Morocco ; ⁴ REMTEX Laboratory, Higher School of Textile and Clothing Industries (ESITH), Casablanca Morocco ; ⁵ Department of Physics, Indian Institute of Technology Guwahati, Guwahati 781 039, India, India ; ⁶ Digital Monozukuri, Palo Alto, California,, United States ; ⁷ Department of Electronics and Communication Engineering-CHRIST (DEEMED TO BE UNIVERSITY), Kanmanike, Bengaluru, India ; ⁸ Centre for Interdisciplinary Sciences JIS Institute of Advanced Studies and Research Kolkata JIS University Kolkata-91, India, India

Keyword(s): Bibliometric study, dimensions.ai, COVID-19, waste management, plastic waste, facemask

Abstract: Plastic waste is one of the most pressing environmental problems causing biodiversity loss and threatening human well-being. Globally, many actions and strategies have been proposed, and efforts have been made to minimize plastic production and consumption to fight against plastic pollution. This paper aimed to measure the interest in increasing covid-19 related plastic waste, including medical-grade plastic (PPE) and packaging food waste, through analyzing the related scientific production between 2019 and 2021. We utilized the information system "dimension.ai" to carry out this analysis, which showed that the most studied topics are related to the psychological impacts of COVID-19 and waste disposal management. The effect of the COVID-19 pandemic across the end of the life cycle of several plastic products is assessed as well in the present study. The abrupt change in the structure and quantity of waste underlines the need for an effective, flexible waste management method to tackl e plastic waste issues, especially during the COVID-19 era. Multiple strategies and approaches are proposed to minimize the likely effect of the pandemic on global waste management systems. (More)

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Mejjad, N.; Farhan, R.; Chakhchaoui, N.; Shankhwar, N.; Unal, A.; Murthy, H.; Saha, P.; Cherkoui, O. and Thomas, S. (2022). Impact of COVID-19 Pandemic on Plastic Waste Management: A Bibliometric Analysis by using Dimension.ai. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - BML; ISBN 978-989-758-559-3, SciTePress, pages 538-545. DOI: 10.5220/0010740700003101

@conference{bml22,
author={Nezha Mejjad. and Rida Farhan. and Nabil Chakhchaoui. and Nisha Shankhwar. and Aynur Unal. and Hari Murthy. and Prosenjit Saha. and Omar Cherkoui. and Sabu Thomas.},
title={Impact of COVID-19 Pandemic on Plastic Waste Management: A Bibliometric Analysis by using Dimension.ai},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - BML},
year={2022},
pages={538-545},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010740700003101},
isbn={978-989-758-559-3},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - BML
TI - Impact of COVID-19 Pandemic on Plastic Waste Management: A Bibliometric Analysis by using Dimension.ai
SN - 978-989-758-559-3
AU - Mejjad, N.
AU - Farhan, R.
AU - Chakhchaoui, N.
AU - Shankhwar, N.
AU - Unal, A.
AU - Murthy, H.
AU - Saha, P.
AU - Cherkoui, O.
AU - Thomas, S.
PY - 2022
SP - 538
EP - 545
DO - 10.5220/0010740700003101
PB - SciTePress