Evidence map›Paper›PMID 35205511›Full record

ArticleEntropy (Basel, Switzerland)2022

Effects of Vaccination Efficacy on Wealth Distribution in Kinetic Epidemic Models.

Emanuele Bernardi, Lorenzo Pareschi, Giuseppe Toscani, Mattia Zanella

Open access · goldAbstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. An SIR model with viral load-dependent transmission.Journal of mathematical biology · 2023
    Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Emanuele BernardiDepartment of Mathematics "F. Casorati", University of Pavia, 27100 Pavia, Italy.
Lorenzo PareschiDepartment of Mathematics and Computer Science, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0002-8706-6939
Giuseppe ToscaniDepartment of Mathematics "F. Casorati", University of Pavia, 27100 Pavia, Italy.ORCID 0000-0003-4419-804X
Mattia ZanellaDepartment of Mathematics "F. Casorati", University of Pavia, 27100 Pavia, Italy.
University of Pavia · ITUniversity of Ferrara · IT

Funding

Ministero dell'Università e della Ricerca PRIN2020Università di Ferrara FIR2021
6 · The paper itself

Abstract

The spread of the COVID-19 pandemic has highlighted the close link between economics and health in the context of emergency management. A widespread vaccination campaign is considered the main tool to contain the economic consequences. This paper will focus, at the level of wealth distribution modeling, on the economic improvements induced by the vaccination campaign in terms of its effectiveness rate. The economic trend during the pandemic is evaluated, resorting to a mathematical model joining a classical compartmental model including vaccinated individuals with a kinetic model of wealth distribution based on binary wealth exchanges. The interplay between wealth exchanges and the progress of the infectious disease is realized by assuming, on the one hand, that individuals in different compartments act differently in the economic process and, on the other hand, that the epidemic affects risk in economic transactions. Using the mathematical tools of kinetic theory, it is possible to identify the equilibrium states of the system and the formation of inequalities due to the pandemic in the wealth distribution of the population. Numerical experiments highlight the importance of the vaccination campaign and its positive effects in reducing economic inequalities in the multi-agent society.

Indexed as

compartmental epidemic modellingCOVID-19kinetic modelsvaccination campaignwealth distributionwealth inequalities

Identifiers

PMID35205511
PMCPMC8871447
OpenAlexW4214747463

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.