Evidence map›Paper›PMID 33551579›Full record

ArticleChaos, solitons, and fractals2021

Managing awareness can avoid hysteresis in disease spread: an application to coronavirus Covid-19.

Deborah Lacitignola, Giuseppe Saccomandi

Open access · greenAbstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Prediction and Analysis of Tourist Management Strategy Based on the SEIR Model during the COVID-19 Period.International journal of environmental research and public health · 2021
    Article
  5. 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

2 authors at 2 institutions in 1 country.

Deborah LacitignolaDipartimento di Ingegneria Elettrica e dell'Informazione, Università di Cassino e del Lazio Meridionale, via Di Biasio, I-03043 Cassino, Italy.
Giuseppe SaccomandiDipartimento di Ingegneria, Università di Perugia, Via Goffredo Duranti, 93, Perugia 06125, Italy.
Università degli studi di Cassino e del Lazio Meridionale · ITUniversity of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A SEIR-type model is investigated to evaluate the effects of awareness campaigns in the presence of factors that can induce overexposure to disease. We find that high levels of overexposure can drive system dynamics towards a backward phenomenology and that increasing people awareness through balanced and aware information can be crucial to avoid dangerous dynamical transitions as hysteresis or transient oscillations before disease eradication. Investigations in the time dependent regimes are provided to support the results. Google Trends data in the context of Covid19 are also used to stress how low levels of awareness, combined with high overexposure, can be related to recent episodes of epidemic resurgence in Europe. Our results suggest that the interplay between overexposure and awareness is a point that should not be underestimated both in the current and future management of the Covid19 emergency.

Indexed as

AwarenessBackward bifurcationCovid-19Epidemic modelsHysteresis

Identifiers

PMID33551579
PMCPMC7849502
OpenAlexW3126935817

What OpenQuestion holds

Textmetadata
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.