Evidence map›Paper›PMID 33220997›Full record

ArticleThe Science of the total environment2021

Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak.

Erfan Babaee Tirkolaee, Parvin Abbasian, Gerhard-Wilhelm Weber

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
36.4field-weighted citation impact, top 1% of its field
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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 296 citations in OpenAlex.

  1. Does medical waste research during COVID-19 meet the challenge induced by the pandemic to waste management?Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2024
    Pooled it
  2. Forecasting medical waste in Istanbul using a novel nonlinear grey Bernoulli model optimized by firefly algorithm.Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2025
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  10. Designing a new sustainable Test Kit supply chain network utilizing Internet of Things.Engineering applications of artificial intelligence · 2023
    Article
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  13. The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW).Engineering applications of artificial intelligence · 2023
    Article
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  19. The Impact of COVID-19 on the Sustainable Development Goals: Achievements and Expectations.International journal of environmental research and public health · 2022
    Review
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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

3 authors at 3 institutions in 3 countries.

Erfan Babaee TirkolaeeDepartment of Industrial and Systems Engineering, Istinye University, Istanbul, Turkey. Electronic address: erfan.babaee@engr.istinye.edu.tr.
Parvin AbbasianFaculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Gerhard-Wilhelm WeberFaculty of Engineering Management, Poznan University of Technology, Poznan, Poland; Institute of Applied Mathematics, Middle East Technical University, Ankara, Turkey. Electronic address: gerhard.weber@put.poznan.pl.
Istinye University · TRMazandaran University of Medical Sciences · IRMiddle East Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of waste management system has been recently interrupted and encountered a very serious situation due to the epidemic outbreak of the novel Coronavirus (COVID-19). To this end, the handling of infectious medical waste has been particularly more vital than ever. Therefore, in this study, a novel mixed-integer linear programming (MILP) model is developed to formulate the sustainable multi-trip location-routing problem with time windows (MTLRP-TW) for medical waste management in the COVID-19 pandemic. The objectives are to concurrently minimize the total traveling time, total violation from time windows/service priorities and total infection/environmental risk imposed on the population around disposal sites. Here, the time windows play a key role to define the priority of services for hospitals with a different range of risks. To deal with the uncertainty, a fuzzy chance-constrained programming approach is applied to the proposed model. A real case study is investigated in Sari city of Iran to test the performance and applicability of the proposed model. Accordingly, the optimal planning of vehicles is determined to be implemented by the municipality, which takes 19.733 h to complete the processes of collection, transportation and disposal. Finally, several sensitivity analyses are performed to examine the behavior of the objective functions against the changes of controllable parameters and evaluate optimal policies and suggest useful managerial insights under different conditions.

Indexed as

COVID-19Medical WasteRefuse DisposalWaste ManagementCitiesDisease OutbreaksHumansIranPandemicsSARS-CoV-2Medical WasteCOVID-19 pandemicInfection riskMulti-trip location-routing problemSustainable developmentWaste management

Identifiers

PMID33220997
PMCPMC7654290
OpenAlexW3103906052

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.