Evidence map›Paper›PMID 36647542›Full record

ArticleJournal of cleaner production2023

Two-phase COVID-19 medical waste transport optimisation considering sustainability and infection probability.

Cejun Cao, Yuting Xie, Yang Liu, Jiahui Liu, Fanshun Zhang

Open access · hybridAbstract read
In one paragraph

Article in Journal of cleaner production, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
14.5field-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

5 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  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
    Article
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  4. Article
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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

5 authors at 3 institutions in 3 countries.

Cejun CaoCollaborative Innovation Center for Chongqing's Modern Trade Logistics & Supply Chain, School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, PR China.
Yuting XieSchool of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, PR China.
Yang LiuDepartment of Management and Engineering, Linköping University, SE-581 83 Linköping, Sweden.
Jiahui LiuSchool of Business Administration, Chongqing Technology and Business University, Chongqing, 400067, PR China.
Fanshun ZhangSchool of Business, Xiangtan University, Xiangtan, 411105, PR China.
Chongqing Technology and Business University · CNLinköping University · SEXiangtan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A safe and effective medical waste transport network is beneficial to control the COVID-19 pandemic and at least decelerate the spread of novel coronavirus. Seldom studies concentrated on a two-phase COVID-19 medical waste transport in the presence of multi-type vehicle selection, sustainability, and infection probability, which is the focus of this paper. This paper aims to identify the priority of sustainable objectives and observe the impacts of multi-phase and infection probability on the results. Thus, such a problem is formulated as a mixed-integer programming model to minimise total potential infection risks, minimise total environmental risks, and maximise total economic benefits. Then, a hybrid solution strategy is designed, incorporating a lexicographic optimisation approach and a linear weighted sum method. A real-world case study from Chongqing is used to illustrate this methodology. Results indicate that the solution strategy guides a good COVID-19 medical waste transport scheme within 1 min. The priority of sustainable objectives is society, economy, and environment in the first and second phases because the total

Indexed as

COVID-19 medical wasteInfection probabilityLexicographic optimisation approachMixed-integer programming modelSustainabilityTwo-phase transport optimisation

Identifiers

PMID36647542
PMCPMC9833647
OpenAlexW4315632165

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.