Evidence map›Paper›PMID 39845730›Full record

ArticleInfectious Disease Modelling2025

A modelling approach to characterise the interaction between behavioral response and epidemics: A study based on COVID-19.

Xinyu Chen, Suxia Zhang, Jinhu Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infectious Disease Modelling, 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

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

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

3 authors.

Xinyu ChenSchool of Science, Xi'an University of Technology, Xi'an, 710048, PR China.
Suxia ZhangSchool of Science, Xi'an University of Technology, Xi'an, 710048, PR China.
Jinhu XuSchool of Science, Xi'an University of Technology, Xi'an, 710048, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During epidemic outbreaks, human behavior is highly influential on the disease transmission and hence affects the course, duration and outcome of the epidemics. In order to examine the feedback effect between the dynamics of the behavioral response and disease outbreak, a simple SIR-

Indexed as

COVID-19Disease transmissionHuman behavioral responseMathematical modelParticle swarm optimization

Identifiers

PMID39845730
PMCPMC11750544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.