Evidence map›Paper›PMID 35153532›Full record

ArticleGondwana research : international geoscience journal2023

Waste management beyond the COVID-19 pandemic: Bibliometric and text mining analyses.

Meisam Ranjbari, Zahra Shams Esfandabadi, Sneha Gautam, Alberto Ferraris, Simone Domenico Scagnelli

Abstract read
In one paragraph

Article in Gondwana research : international geoscience journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Effective waste management in service industry: Fuzzy-based modelling approach for strategic decision-making.Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2025
    Article
  3. The evolutionary path of medical waste management research: Insights from co-citation and co-word analysis.Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Air pollution in Iran: The current status and potential solutions.Environmental monitoring and assessment · 2023
    Article
  8. Review
  9. Review
  10. Exposure and health: A progress update by evaluation and scientometric analysis.Stochastic environmental research and risk assessment : research journal · 2023
    Review
  11. Review
  12. Air pollution in five Indian megacities during the Christmas and New Year celebration amidst COVID-19 pandemic.Stochastic environmental research and risk assessment : research journal · 2022
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Meisam RanjbariDepartment of Economics and Statistics "Cognetti de Martiis", University of Turin, Torino, Italy.
Zahra Shams EsfandabadiDepartment of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Torino, Italy.
Sneha GautamKarunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Alberto FerrarisDepartment of Management, University of Turin, Torino, Italy.
Simone Domenico ScagnelliDepartment of Management, University of Turin, Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Healthcare wasteMunicipal solid wastePersonal protective equipmentPlastic wasteWastewater

Identifiers

PMID35153532
PMCPMC8816840

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.