Evidence map›Paper›PMID 39227428›Full record

ArticleScientific reports2024

Analyzing economic effect on mRNA vaccine inventory management with redistribution policy.

Hyungju Kim, Hyungjoo Cha, Taesu Cheong

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Hyungju KimSchool of Industrial and Management Engineering, Korea University, Seoul, South Korea.
Hyungjoo ChaSchool of Industrial and Management Engineering, Korea University, Seoul, South Korea. hyungjoo_cha@korea.ac.kr.
Taesu CheongSchool of Industrial and Management Engineering, Korea University, Seoul, South Korea. tcheong@korea.ac.kr.

Funding

Korea Institute for Advancement of Technology P0020649National Research Foundation of Korea NRF-2021R1F1A105930213
6 · The paper itself

Abstract

This study focused on the challenges posed by the fluctuating demand for COVID-19 vaccines, considering factors such as side effects, religious objections, and absenteeism, which result in the accumulation of excess vaccines. Recognizing the resulting social, economic, and environmental issues, this study investigated the application of a lateral transshipment policy for the management of the inventory of short-term vaccines, considering related unpredictabilities. A discrete event simulation built on foundational principles derived from a mixed-integer linear programming model was employed to explore the dynamics of mRNA-based vaccine distribution among two hospitals based on lateral transshipment and reordering policies. Through the simulation of various scenarios over periods of 1-30 days, transshipment based on the availability policy is employed to determine the quantity of vaccines to be transshipped, constrained to vial amounts, and the (s, S) inventory system for reordering. The results of this study underscore the efficacy of lateral transshipment, particularly in situations where demand discrepancies exist between hospitals, thereby revealing its superiority over non-transshipment strategies within 7 days.

Indexed as

COVID-19COVID-19 VaccinesmRNA VaccinesHumansSARS-CoV-2Vaccines, SyntheticCOVID-19 VaccinesmRNA VaccinesVaccines, SyntheticDiscrete event simulationInventoryLateral transshipmentUncertaintyVaccine

Identifiers

PMID39227428
PMCPMC11371817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.