Chaos in Opinion-Driven Disease Dynamics.

Thomas Götz, Tyll Krüger, Karol Niedzielewski, Radomir Pestow, Moritz Schäfer, Jan Schneider

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2024. 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

6 authors.

Thomas GötzMathematical Institute, University of Koblenz, 56070 Koblenz, Germany.ORCID 0000-0001-6083-0602

Tyll KrügerFaculty of Information and Communication Technology, Wrocław University of Science and Technology, 50-372 Wrocław, Poland.

Karol NiedzielewskiInterdisciplinary Centre for Mathematical and Computational Modelling (ICM), University of Warsaw, 00-927 Warsaw, Poland.

Radomir PestowMathematical Institute, University of Koblenz, 56070 Koblenz, Germany.ORCID 0000-0002-7369-7748

Moritz SchäferMathematical Institute, University of Koblenz, 56070 Koblenz, Germany.

Jan SchneiderFaculty of Management, Wroclaw University of Science and Technology, 50-371 Wrocław, Poland.ORCID 0000-0001-6738-1790

Funding

German Academic Exchange Service 576027Narodowa Agencja Wymiany Akademickiej PPN/B-DE/2021/1/00019/U/DRAFT/00001

6 · The paper itself

Abstract

During the COVID-19 pandemic, it became evident that the effectiveness of applying intervention measures is significantly influenced by societal acceptance, which, in turn, is affected by the processes of opinion formation. This article explores one among the many possibilities of coupled opinion-epidemic systems. The findings reveal either intricate periodic patterns or chaotic dynamics, leading to substantial fluctuations in opinion distribution and, consequently, significant variations in the total number of infections over time. Interestingly, the model exhibits a protective pattern.

Indexed as

chaosdisease dynamicsepidemiologyopinion dynamicsq-voter modelSIS-modelsociophysics

Identifiers

PMID38667852

DOI10.3390/e26040298

PMCPMC11049593

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.