Evidence map›Paper›PMID 35202672›Full record

ArticleChemosphere2022

Amassing the Covid-19 driven PPE wastes in the dwelling environment of Chittagong Metropolis and associated implications.

Md Jainal Abedin, Mayeen Uddin Khandaker, Md Ripaj Uddin, Md Rezaul Karim, M Shahab Uddin Ahamad, Md Ariful Islam, Abu Mohammad Arif, Syed Md Minhaz Hossain, A Sulieman, Abubakr M Idris

Abstract read
In one paragraph

Article in Chemosphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Md Jainal AbedinFaculty of Public Health, Thammasat University, Pathum Thani, 12121, Thailand.
Mayeen Uddin KhandakerCentre for Applied Physics and Radiation Technologies, School of Engineering and Technology, Sunway University, 47500, Bandar Sunway, Selangor, Malaysia. Electronic address: mu_khandaker@yahoo.com.
Md Ripaj UddinInstitute of National Analytical Research and Service (INARS), BCSIR, Dhanmondi, Dhaka, 1205, Bangladesh.
Md Rezaul KarimDepartment of Chemistry, Chittagong University of Engineering and Technology, Chattogram, 4349, Bangladesh.
M Shahab Uddin AhamadDepartment of Pathology, Chittagong Medical College, Chattogram, 4302, Bangladesh.
Md Ariful IslamDepartment of Chemistry, Chittagong University of Engineering and Technology, Chattogram, 4349, Bangladesh.
Abu Mohammad ArifOne Health Institute, Chattogram Veterinary and Animal Sciences University, Chattogram, 4225, Bangladesh.
Syed Md Minhaz HossainDepartment of Computer Science and Engineering, Premier University, Chattogram, 4000, Bangladesh.
A SuliemanDepartment of Radiology and Medical Imaging, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, P.O. Box 422, Alkharj, 11942, Saudi Arabia.
Abubakr M IdrisDepartment of Chemistry, College of Science, King Khalid University, 62529, Abha, Saudi Arabia; Research Center for Advanced Materials Science (RCAMS), King Khalid University, 62529, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the Covid-19 driven indiscriminate disposal of PPE wastes (mostly face mask and medical wastes) in Chittagong metropolitan area (CMA), Bangladesh. Based on the field monitoring, the mean PPE density (PPE/m

Indexed as

COVID-19Medical WasteBangladeshHumansPersonal Protective EquipmentPlasticsSARS-CoV-2Medical WastePlasticsCovid-19DisposalEnvironmental contaminationPPE wastesWaste management

Identifiers

PMID35202672
PMCPMC8859812

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.