Evidence mapPaperPMID 37334464Full record

SynthesisWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2024

Does medical waste research during COVID-19 meet the challenge induced by the pandemic to waste management?

Qiang Wang, Min Zhang, Rongrong Li

Abstract readSystematic Review
In one paragraph

Synthesis in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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 · 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

3 authors.

Qiang WangSchool of Economics and Management, China University of Petroleum (East China), Qingdao, People's Republic of China.ORCID 0000-0002-8751-8093
Min ZhangSchool of Economics and Management, China University of Petroleum (East China), Qingdao, People's Republic of China.
Rongrong LiSchool of Economics and Management, China University of Petroleum (East China), Qingdao, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has resulted in an unprecedented amount of medical waste, presenting significant challenges for the safe disposal of hazardous waste. A systematic review of existing research on COVID-19 and medical waste can help address these challenges by providing insights and recommendations for effective management of the massive medical waste generated during the pandemic. This study utilized bibliometric and text mining methods to survey the scientific outcomes related to COVID-19 and medical waste, drawing on data from the Scopus database. The results show that the spatial distribution of medical waste research is unbalanced. Surprisingly, developing countries rather than developed countries lead research in this area. Especially, China, a major contributor to the field, has the highest number of publications and citations, and is also a centre of international cooperation. The main study authors and research institutions are also mainly from China. And the research on medical waste is a multidisciplinary field. Text mining analysis shows that COVID-19 and medical waste research is mainly organized around four themes: (i) medical waste from personal protective equipment; (ii) research on medical waste in Wuhan, China; (iii) threats of medical waste to the environment and (iv) disposal and management of medical waste. This would serve to better understand the current state of medical waste research and to provide some implications for future research.

Indexed as

COVID-19Medical WasteWaste ManagementChinaHumansPandemicsMedical WastebibliometricCOVID-19medical wastenetwork analysisresearch hotspotsresearch trendstext mining analysis

Identifiers

PMID37334464
PMCPMC10277880

What Socratic 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 Socratic graph.