Evidence map›Paper›PMID 37766172›Full record

ArticleVaccines2023

Strategies and Trends in COVID-19 Vaccination Delivery: What We Learn and What We May Use for the Future.

Giuseppe Tradigo, Jayanta Kumar Das, Patrizia Vizza, Swarup Roy, Pietro Hiram Guzzi, Pierangelo Veltri

Abstract read
In one paragraph

Article in Vaccines, 2023. 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. Review
  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

6 authors.

Giuseppe TradigoDepartment of Computer Science, eCampus University, 22060 Novedrate, Italy.ORCID 0000-0002-1367-8676
Jayanta Kumar DasLongitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.ORCID 0000-0002-7630-7194
Patrizia VizzaDepartment of Surgical and Medical Science, Magna Græcia University, 88100 Catanzaro, Italy.ORCID 0000-0002-0014-478X
Swarup RoyNetwork Reconstruction & Analysis (NetRA) Lab, Department of Computer Applications, Sikkim University, Gangtok 737102, India.ORCID 0000-0002-0011-3633
Pietro Hiram GuzziDepartment of Surgical and Medical Science, Magna Græcia University, 88100 Catanzaro, Italy.ORCID 0000-0001-5542-2997
Pierangelo VeltriDepartment of Computer Science, Modelling, Electronics and Systems, University of Calabria, 87036 Rende, Italy.ORCID 0000-0003-2494-0294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination has been the most effective way to control the outbreak of the COVID-19 pandemic. The numbers and types of vaccines have reached considerable proportions, even if the question of vaccine procedures and frequency still needs to be resolved. We have come to learn the necessity of defining vaccination distribution strategies with regard to COVID-19 that could be used for any future pandemics of similar gravity. In fact, vaccine monitoring implies the existence of a strategy that should be measurable in terms of input and output, based on a mathematical model, including death rates, the spread of infections, symptoms, hospitalization, and so on. This paper addresses the issue of vaccine diffusion and strategies for monitoring the pandemic. It provides a description of the importance and take up of vaccines and the links between procedures and the containment of COVID-19 variants, as well as the long-term effects. Finally, the paper focuses on the global scenario in a world undergoing profound social and political change, with particular attention on current and future health provision. This contribution would represent an example of vaccination experiences, which can be useful in other pandemic or epidemiological contexts.

Indexed as

COVID-19epidemiologyvaccination strategyvaccine distributions

Identifiers

PMID37766172
PMCPMC10535057

What OpenQuestion holds

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LicenceCC BY
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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.