Evidence map›Paper›PMID 41360991›Full record

ArticleScientific reports2025

A behavioral game-theoretic model for vaccination with fractional-order imitation and aspiration dynamics.

Mohammad Sharif Ullah, K M Ariful Kabir, Jin Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mohammad Sharif UllahDepartment of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN, 37403, USA. sharifju49@yahoo.com.
K M Ariful KabirDepartment of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, 1100, Bangladesh.
Jin WangDepartment of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN, 37403, USA.

Funding

Mathematical Modeling and Scientific Computing for Infectious Disease ResearchR15GM152943 · NIGMS · UNIVERSITY OF TENNESSEE CHATTANOOGA · PI WANG, JIN · 2023 to 2023
$331k
NIGMS NIH HHS R15 GM152943
6 · The paper itself

Abstract

This research work introduces a new modeling technique that simulates the vaccination game, integrating imitation and aspiration social learning dynamics using the Caputo fractional-order derivative. We investigated a fractional-order epidemic model that incorporates imitation and aspiration dynamics in both pure and combined imitation and aspiration frameworks, considering symmetric and asymmetric aspiration levels. This approach is particularly relevant, as conventional game-theoretic models of vaccine behavior often fail to accurately represent the intricate and flexible characteristics of human decision-making processes. The Caputo fractional-order derivative enables a more precise representation of the memory and hereditary effects inherent in individuals' decision-making processes regarding vaccination. We also examine the interaction between social influence, characterized by imitation, and individual ambition levels, offering a complete framework for analyzing the impact of these variables on vaccination behavior within a community through the evolutionary game theory (EGT) framework, and investigate how public health policy, individual risk perception, and societal dynamics affect the vaccination rate. The findings demonstrate the advantages of employing the Caputo fractional-order derivative for policymaking in capturing the complex temporal dynamics of vaccination games, offering valuable insights for developing effective vaccination strategies and public health initiatives.

Indexed as

Game TheoryModels, TheoreticalVaccinationDecision MakingHumansBehavioral dynamicsMemory effectSocial-benefitVaccination game

Identifiers

PMID41360991
PMCPMC12796285

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.