Evidence map›Paper›PMID 32182811›Full record

ArticleInternational journal of environmental research and public health2020

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China).

Hao Yu, Xu Sun, Wei Deng Solvang, Xu Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 2 pooled it
52.6field-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

106 citing papers in PubMed, 2 syntheses or guidelines pooled it, 356 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. Pooled it
  3. Article
  4. Article
  5. 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
  6. Article
  7. Article
  8. Article
  9. Article
  10. Designing a new sustainable Test Kit supply chain network utilizing Internet of Things.Engineering applications of artificial intelligence · 2023
    Article
  11. Review
  12. Review
  13. Article
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  15. Article
  16. Measuring economic crises impact transitioning to a circular economy.Environment, development and sustainability · 2023
    Article
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  19. Review
  20. Review

46 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 2 countries.

Hao YuDepartment of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway.ORCID 0000-0002-2091-5983
Xu SunDepartment of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway.
Wei Deng SolvangDepartment of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway.ORCID 0000-0002-3723-9205
Xu ZhaoSchool of Economics and Management, China Three Gorges University, Yichang 443002, China.
UiT The Arctic University of Norway · NOChina Three Gorges University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse logistics network for dealing with medical waste during epidemic outbreaks, which, if improperly treated, may accelerate disease spread and pose a significant risk for both medical staffs and patients. Therefore, this paper proposes a novel multi-objective multi-period mixed integer program for reverse logistics network design in epidemic outbreaks, which aims at determining the best locations of temporary facilities and the transportation strategies for effective management of the exponentially increased medical waste within a very short period. The application of the model is illustrated with a case study based on the outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Even though the uncertainty of the future COVID-19 spread tendency is very high at the time of this research, several general policy recommendations can still be obtained based on computational experiments and quantitative analyses. Among other insights, the results suggest installing temporary incinerators may be an effective solution for managing the tremendous increase of medical waste during the COVID-19 outbreak in Wuhan, but the location selection of these temporary incinerators is of significant importance. Due to the limitation on available data and knowledge at present stage, more real-world information are needed to assess the effectiveness of the current solution.

Indexed as

Disease OutbreaksMedical WasteMedical Waste DisposalBetacoronavirusChinaCoronavirus InfectionsCOVID-19EpidemicsHumansOperations ResearchPneumonia, ViralProblem SolvingSARS-CoV-2UncertaintyWaste ManagementMedical WasteMedical Waste Disposalepidemic logisticsepidemic outbreakmedical wastenetwork designoperations researchreverse logistics

Identifiers

PMID32182811
PMCPMC7084373
OpenAlexW3010128172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.