ArticlePhysical review. E2018
Effect of risk perception on epidemic spreading in temporal networks.
Article in Physical review. E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Coupled Dynamics of Information-Epidemic Spreading with Resource Allocation and Transmission on Multi-Layer Networks.Entropy (Basel, Switzerland) · 2025Article
- Host behaviour driven by awareness of infection risk amplifies the chance of superspreading events.Journal of the Royal Society, Interface · 2024Article
- Epidemic dynamics on higher-dimensional small world networks.Applied mathematics and computation · 2022Article
- Network models to evaluate vaccine strategies towards herd immunity in COVID-19.Journal of theoretical biology · 2021Article
- Using awareness to Z-control a SEIR model with overexposure: Insights on Covid-19 pandemic.Chaos, solitons, and fractals · 2021Article
- Evaluating metrics in link streams.Social network analysis and mining · 2021Article
- Impact of information diffusion on epidemic spreading in partially mapping two-layered time-varying networks.Nonlinear dynamics · 2021Article
- A multiple information model incorporating limited attention and information environment.PloS one · 2021Article
- Towards a data-driven characterization of behavioral changes induced by the seasonal flu.PLoS computational biology · 2020Article
- Epidemic spreading with awareness and different timescales in multiplex networks.Physical review. E · 2019Article
- Epidemic prevalence information on social networks can mediate emergent collective outcomes in voluntary vaccine schemes.PLoS computational biology · 2019Article
- Local risk perception enhances epidemic control.PloS one · 2019Article
- Modeling and analysis of epidemic spreading on community networks with heterogeneity.Journal of parallel and distributed computing · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many progresses in the understanding of epidemic spreading models have been obtained thanks to numerous modeling efforts and analytical and numerical studies, considering host populations with very different structures and properties, including complex and temporal interaction networks. Moreover, a number of recent studies have started to go beyond the assumption of an absence of coupling between the spread of a disease and the structure of the contacts on which it unfolds. Models including awareness of the spread have been proposed, to mimic possible precautionary measures taken by individuals that decrease their risk of infection, but have mostly considered static networks. Here, we adapt such a framework to the more realistic case of temporal networks of interactions between individuals. We study the resulting model by analytical and numerical means on both simple models of temporal networks and empirical time-resolved contact data. Analytical results show that the epidemic threshold is not affected by the awareness but that the prevalence can be significantly decreased. Numerical studies on synthetic temporal networks highlight, however, the presence of very strong finite-size effects, resulting in a significant shift of the effective epidemic threshold in the presence of risk awareness. For empirical contact networks, the awareness mechanism leads as well to a shift in the effective threshold and to a strong reduction of the epidemic prevalence.
Identifiers
What OpenQuestion holds
Registered trials
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.