Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
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Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses
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| Автор |
Ranjbari, M.
Shams, Esfandabadi, Z. Gautam, S. Ferraris, A. Scagnelli, S. D. |
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| Тематика |
COVID-19
HEALTHCARE WASTE MUNICIPAL SOLID WASTE PERSONAL PROTECTIVE EQUIPMENT PLASTIC WASTE WASTEWATER COVID-19 DATA MINING DEVELOPING WORLD HEALTH CARE MUNICIPAL SOLID WASTE PANDEMIC WASTE MANAGEMENT WASTEWATER |
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| Описание |
The outbreak of the COVID-19 pandemic has significantly increased the demand for personal protective equipment, in particular face masks, thus leading to a huge amount of healthcare waste generated worldwide. Consequently, such an unprecedented amount of newly emerged waste has posed significant challenges to practitioners, policy-makers, and municipal authorities involved in waste management (WM) systems. This research aims at mapping the COVID-19-related scientific production to date in the field of WM. In this vein, the performance indicators of the target literature were analyzed and discussed through conducting a bibliometric analysis. The conceptual structure of COVID-19-related WM research, including seven main research themes, were uncovered and visualized through a text mining analysis as follows: (1) household and food waste, (2) personnel safety and training for waste handling, (3) sustainability and circular economy, (4) personal protective equipment and plastic waste, (5) healthcare waste management practices, (6) wastewater management, and (7) COVID-19 transmission through infectious waste. Finally, a research agenda for WM practices and activities in the post-COVID-19 era was proposed, focusing on the following three identified research gaps: (i) developing a systemic framework to properly manage the pandemic crisis implications for WM practices as a whole, following a systems thinking approach, (ii) building a circular economy model encompassing all activities from the design stage to the implementation stage, and (iii) proposing incentives to effectively involve informal sectors and local capacity in decentralizing municipal waste management, with a specific focus on developing and less-developed countries. © 2022 International Association for Gondwana Research
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| Дата |
2024-04-05T16:17:58Z
2024-04-05T16:17:58Z 2023 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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| Идентификатор |
Ranjbari, M, Shams Esfandabadi, Z, Gautam, S, Ferraris, A & Scagnelli, SD 2023, 'Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses', Gondwana Research, Том. 114, стр. 124-137. https://doi.org/10.1016/j.gr.2021.12.015
Ranjbari, M., Shams Esfandabadi, Z., Gautam, S., Ferraris, A., & Scagnelli, S. D. (2023). Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses. Gondwana Research, 114, 124-137. https://doi.org/10.1016/j.gr.2021.12.015 1342-937X Final All Open Access, Bronze, Green https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124399971&doi=10.1016%2fj.gr.2021.12.015&partnerID=40&md5=78ff54649114c16f9dbf7b238dc0cd09 https://doi.org/10.1016/j.gr.2021.12.015 http://elar.urfu.ru/handle/10995/130292 10.1016/j.gr.2021.12.015 85124399971 000926257500001 |
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| Язык |
en
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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| Формат |
application/pdf
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| Издатель |
Elsevier Inc.
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| Источник |
Gondwana Research
Gondwana Research |
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