ArticlePhysical review letters2021
Social Confinement and Mesoscopic Localization of Epidemics on Networks.
Article in Physical review letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Decoding how higher-order network interactions shape contagion dynamics.Journal of mathematical biology · 2025Article
- Characteristic scales and adaptation in higher-order contagions.Nature communications · 2025Article
- Duality between predictability and reconstructability in complex systems.Nature communications · 2024Article
- Multi-layer network approach in modeling epidemics in an urban town.The European physical journal. B · 2023Article
- Joint Detection of Community and Structural Hole Spanner of Networks in Hyperbolic Space.Entropy (Basel, Switzerland) · 2022Article
- Sideward contact tracing and the control of epidemics in large gatherings.Journal of the Royal Society, Interface · 2022Article
- Universal Nonlinear Infection Kernel from Heterogeneous Exposure on Higher-Order Networks.Physical review letters · 2021Article
- Mesoscopic Modeling and Rapid Simulation of Incremental Changes in Epidemic Scenarios on GPUs: Fast What-If Analyses of Localized and Dynamic Effects.Journal of the Indian Institute of Science · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Recommendations around epidemics tend to focus on individual behaviors, with much less efforts attempting to guide event cancellations and other collective behaviors since most models lack the higher-order structure necessary to describe large gatherings. Through a higher-order description of contagions on networks, we model the impact of a blanket cancellation of events larger than a critical size and find that epidemics can suddenly collapse when interventions operate over groups of individuals rather than at the level of individuals. We relate this phenomenon to the onset of mesoscopic localization, where contagions concentrate around dominant groups.
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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.