Evidence map›Paper›PMID 36909783›Full record

ArticleTransportation research. Part E, Logistics and transportation review2023

A reliable emergency logistics network for COVID-19 considering the uncertain time-varying demands.

Jianghua Zhang, Daniel Zhuoyu Long, Yuchen Li

Abstract read
In one paragraph

Article in Transportation research. Part E, Logistics and transportation review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Jianghua ZhangSchool of Management, Shandong University, Jinan, Shandong, 250100, China.
Daniel Zhuoyu LongDepartment of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Yuchen LiSchool of Management, Shandong University, Jinan, Shandong, 250100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolving COVID-19 epidemic pose significant threats and challenges to emergency response operations. This paper focuses on designing an emergency logistic network, including the deployment of emergency facilities and the allocation of supplies to satisfy the time-varying demands. A

Indexed as

Covid-19Emergency logistic networkEmergency resource location–allocationEpidemic trend predictionRobust optimizationUncertain time-varying demand

Identifiers

PMID36909783
PMCPMC9986146

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.