Evidence map›Paper›PMID 37771837›Full record

ArticleFrontiers in public health2023

Optimization of emergency allocation of necessities of life based on fractal perspective.

Hong Li, Zhe Zhou, Chuan Hu, Yumei Ning, Zihao Wang, Hua Huang, Kangsheng Tao

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Hong LiDepartment of Economics and Social Development, Gansu Normal College for Nationalities, Hezuo, Gansu, China.
Zhe ZhouSchool of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Chuan HuSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.
Yumei NingSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.
Zihao WangSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.
Hua HuangBusiness School of Hbue, Hubei University of Economics, Wuhan, Hubei, China.
Kangsheng TaoSchool of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The supply and reserves of emergency necessities of life are important for emergency management in disaster events. The scope of the necessities of life changes with social development, and their reserves and allocation in sudden disaster events continually face new challenges. Timely distribution of the necessities of life during disasters is critical to saving lives and maintaining social order. Therefore, this study proposes a fractal multi-level distribution network (FMDN) optimization model with multiple warehouse points, multiple emergency distribution centers, and multiple disaster points from the perspective of fractal theory. The FMDN model considers the influence of road damage on vehicle speed and the dynamic change in demand at the affected points. The FMDN model aims to minimize the operating costs of a distribution network, including the cost of building emergency reserve points, transportation costs, and penalty costs for lack of demand. Numerical experiments verify the feasibility of the model. The FMDN model is solved using LINGO software programming, and an optimal distribution path and quantity are obtained. Analyzing the numerical example results shows that the model is suitable for emergencies and has good applicability.

Indexed as

DisastersFractalsdemand disturbanceemergency allocationfractal perspectivenecessities of lifeoptimization model

Identifiers

PMID37771837
PMCPMC10523312

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.