Evidence map›Paper›PMID 34008047›Full record

ArticleBulletin of mathematical biology2021

Coupling Epidemiological Models with Social Dynamics.

Carlo Giambiagi Ferrari, Juan Pablo Pinasco, Nicolas Saintier

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Heterogeneous risk tolerance, in-groups, and epidemic waves.Frontiers in applied mathematics and statistics · 2024
    Article
  2. Article
  3. Article
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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.

Carlo Giambiagi FerrariIMAS, Instituto de Investigaciones Matemáticas Luis A. Santaló, CONICET and Universidad de Buenos Aires, Av Cantilo s/n, Ciudad Universitaria, 1428, Buenos Aires, Argentina.
Juan Pablo PinascoIMAS, Instituto de Investigaciones Matemáticas Luis A. Santaló, CONICET and Universidad de Buenos Aires, Av Cantilo s/n, Ciudad Universitaria, 1428, Buenos Aires, Argentina. jpinasco@dm.uba.ar.ORCID 0000-0002-6906-9239
Nicolas SaintierDepartamento de Matemática, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Av Cantilo s/n, Ciudad Universitaria, 1428, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work we study a Susceptible-Infected-Susceptible model coupled with a continuous opinion dynamics model. We assume that each individual can take measures to reduce the probability of contagion, and the level of effort each agent applies can change due to social interactions. We propose simple rules to model the propagation of behaviors that modify the level of effort, and analyze their impact on the dynamics of the disease. We derive a two dimensional set of ordinary differential equations describing the dynamic of the proportion of the number of infected individuals and the mean value of the effort parameter, and analyze the equilibria of the system. The stability of the endemic phase and disease free equilibria depends only on the mean value of the levels of efforts, and not on the initial distribution of levels of effort.

Indexed as

EpidemicsEpidemiological ModelsHumansMathematical ConceptsProbabilityEpidemic modelsOpinion dynamicReproduction numberSocial interactions

Identifiers

PMID34008047
PMCPMC8130810

What OpenQuestion holds

Textmetadata
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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.