Evidence map›Paper›PMID 41444729›Full record

ArticleScientific reports2025

Double Hopf bifurcation and chaotic dynamics in a periodically-forced SIR model.

João P S Maurício de Carvalho

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. 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

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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

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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

1 author.

João P S Maurício de CarvalhoResearch on Economics, Management and Information Technologies, Prince Henry Portucalense University, Rua Dr. António Bernardino de Almeida 541, 4200-072, Porto, Portugal. jp.carvalho@upt.pt.ORCID http://orcid.org/0000-0001-7709-1631

Funding

Fundação para a Ciência e a Tecnologia UID/05105/2025
6 · The paper itself

Abstract

We perform a qualitative analysis of a periodically-forced SIR model which incorporates the disease transmission rate by direct contact with the natural viral source, in addition to the classic disease transmission rate between individuals. We direct this work towards two main topics: (i) in the absence of seasonality, the endemic equilibrium point (and unique) undergoes both supercritical and subcritical Hopf bifurcations. We identify a specific range of values for the disease transmission rate β, for which the system exhibits an attracting periodic solution while the equilibrium is unstable; (ii) in the presence of seasonality, we prove via torus-breakdown theory that the system exhibits strange attractors (observable chaos). These findings reveal that small changes in parameters can generate complex epidemic dynamics, becoming very difficult to control. All findings are derived analytically and supported by numerical simulations.

Indexed as

Hopf bifurcationSeasonalitySIR modelStrange attractorsTorus-breakdown

Identifiers

PMID41444729
PMCPMC12739142

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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.