Evidence map›Paper›PMID 33469092›Full record

ArticleScientific reports2021

Incorporating social opinion in the evolution of an epidemic spread.

Alejandro Carballosa, Mariamo Mussa-Juane, Alberto P Muñuzuri

Abstract read
In one paragraph

Article in Scientific reports, 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. Chaos in Opinion-Driven Disease Dynamics.Entropy (Basel, Switzerland) · 2024
    Article
  2. Article
  3. Article
  4. 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

3 authors.

Alejandro CarballosaGroup of Nonlinear Physics, Institute CRETUS, Faculty of Physics, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
Mariamo Mussa-JuaneGroup of Nonlinear Physics, Institute CRETUS, Faculty of Physics, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
Alberto P MuñuzuriGroup of Nonlinear Physics, Institute CRETUS, Faculty of Physics, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain. alberto.perez.munuzuri@usc.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of the COVID19 pandemic worldwide has shown that the most common and effective strategy to control it used worldwide involve imposing mobility constrains to the population. A determinant factor in the success of such policies is the cooperation of the population involved but this is something, at least, difficult to measure. In this manuscript, we propose a method to incorporate in epidemic models empirical data accounting for the society predisposition to cooperate with the mobility restriction policies.

Indexed as

Cooperative BehaviorHealth BehaviorPhysical DistancingCarrier StateCOVID-19HumansPublic OpinionSARS-CoV-2Social Networking

Identifiers

PMID33469092
PMCPMC7815732

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.