Evidence map›Paper›PMID 35959868›Full record

ArticleWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2023

Clean environment index: A new approach for litter assessment.

Mahdi Farzadkia, Navid Alinejad, Afsaneh Ghasemi, Roshanak Rezaei Kalantary, Ali Esrafili, Javad Torkashvand

Abstract read
In one paragraph

Article in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Mahdi FarzadkiaResearch Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-7795-9461
Navid AlinejadDepartment of Public Health, Fasa University of Medical Sciences, Fasa, Iran.
Afsaneh GhasemiDepartment of Public Health, Fasa University of Medical Sciences, Fasa, Iran.
Roshanak Rezaei KalantaryResearch Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.
Ali EsrafiliResearch Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.
Javad TorkashvandResearch Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-5570-4601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Littered waste is one of the ubiquitous problems in urban environments. In this study, urban environmental pollution was evaluated for the first time using a new developed index. The findings indicated that cigarette butts with an average 58% are the largest share in the composition of littered waste. In addition, the numbers of littered wastes throughout the study area had a spatial variation. According to clean environment index (CEI), the entire study area was found to be in a moderate status. However, 40% of the study areas were classified in a dirty and extremely dirty status. Comparison of the studied urban land-uses showed that residential land use with CEI equal to 3.38 is interpreted in the clean status, while commercial land use with CEI equal to 15.05 can be classified in the dirty status. The application of CEI has a good capability to assess littered waste; this index can be employed to evaluate the pollution of urban sidewalks and other environments such as beaches.

Indexed as

Environmental MonitoringTobacco ProductsBathing BeachesEnvironmental PollutionPlasticsWaste ProductsPlasticsWaste Productsclean environment indexenvironmental statusLittered wastewaste management

Identifiers

PMID35959868
PMCPMC9925890

What OpenQuestion holds

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LicenceCC BY-NC
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.