Evidence map›Paper›PMID 36687283›Full record

ArticleProcedia computer science2023

Improving the distribution of covid-19 vaccines using the blockchain technology: the Italian case study.

Marta Rinaldi, Maria Antonietta Turino, Marcello Fera, Roberto Macchiaroli

Abstract read
In one paragraph

Article in Procedia computer science, 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

4 authors.

Marta RinaldiUniversity of Campania "Luigi Vanvitelli", Department of Engineering, via Roma 29, Aversa 81031, Italy.
Maria Antonietta TurinoUniversity of Campania "Luigi Vanvitelli", Department of Engineering, via Roma 29, Aversa 81031, Italy.
Marcello FeraUniversity of Campania "Luigi Vanvitelli", Department of Engineering, via Roma 29, Aversa 81031, Italy.
Roberto MacchiaroliUniversity of Campania "Luigi Vanvitelli", Department of Engineering, via Roma 29, Aversa 81031, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination is one of the most effective ways to prevent and control the outbreak of infectious diseases. The vaccine supply chain differs from the traditional supply chains because of the perishability of the products, which need strict transport and warehousing conditions to guarantee the health and safety of people. In addition, in case of pandemics, the big amount of doses requested for the implementation of a mass vaccination campaign forces governments to design a proper logistic network and plan a rapid and efficient distribution of vaccines. This paper studies the organization of allocation and distribution of the covid-19 vaccines in Italy. The main criticalities in managing the vaccine supply chain have been identified and, because of its peculiarities, the blockchain has been considered a suitable technology to solve them. A simulation model has been developed to reproduce the current distribution of vaccines in Italy, and a future scenario with blockchain has been studied. The findings show that it is possible to improve the performance of the vaccine supply chain and make it more resilient by implementing the blockchain technology.

Indexed as

blockchainCOVID-19 vaccinessimulationVaccine distributionVaccine supply chain

Identifiers

PMID36687283
PMCPMC9836492

What OpenQuestion holds

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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.