ArticlePLoS computational biology2010
Dynamics and control of diseases in networks with community structure.
Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
185 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Lessons from a decade of individual-based models for infectious disease transmission: a systematic review (2006-2015).BMC infectious diseases · 2017Pooled it
- Infectious disease and group size: more than just a numbers game.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Pooled it
- Positive network assortativity of influenza vaccination at a high school: implications for outbreak risk and herd immunity.PloS one · 2014Trial
- Mobility Network Analysis of the Poultry Sector in Morocco: A Tool for the Surveillance and Prevention of Highly Pathogenic Avian Influenza.Veterinary sciences · 2026Article
- Networks of Indirect Contact Promote Spread of an Environmentally Transmitted Pathogen in a Highly Social Species.Ecology and evolution · 2026Article
- Transmission Dominance Under Random-Contact Intensification in Epidemic Networks: Multilayer Contact Network Simulation Study.JMIR formative research · 2026Article
- Minimum Vertex Cut with Reachable Set (MVCRS) Problem for Suppressing Botnet Propagation in IoT Networks: Complexity and Algorithms.Sensors (Basel, Switzerland) · 2026Article
- A Bayesian Framework for the Network Analysis of Transmission Dynamics in Infectious Disease.Journal of molecular evolution · 2026Article
- Infection risk assessment for socially structured population using stochastic microexposure model.Journal of exposure science & environmental epidemiology · 2026Article
- Designing network based intervention strategies for epidemics of infectious diseases from edge based infection probability.Scientific reports · 2026Article
- Simulating targeted vaccination strategies with network-based and agent-based models: A scoping review.PLOS global public health · 2026Article
- Spread of the plague in Venice, 1630-1631: epidemic entropy in a "natural experiment".medRxiv : the preprint server for health sciences · 2025Article
- Leveraging multivariate information for community detection in functional brain networks.Communications biology · 2025Article
- Bridges in social networks: current status and challenges.PeerJ. Computer science · 2025Article
- Network analysis of farmed Atlantic salmon movements in British Columbia, Canada.Frontiers in veterinary science · 2025Article
- Article
- Iterative embedding and reweighting of complex networks reveals community structure.Scientific reports · 2024Article
- On the friendship paradox and inversity: A network property with applications to privacy-sensitive network interventions.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- How individuals' opinions influence society's resistance to epidemics: an agent-based model approach.BMC public health · 2024Article
125 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The dynamics of infectious diseases spread via direct person-to-person transmission (such as influenza, smallpox, HIV/AIDS, etc.) depends on the underlying host contact network. Human contact networks exhibit strong community structure. Understanding how such community structure affects epidemics may provide insights for preventing the spread of disease between communities by changing the structure of the contact network through pharmaceutical or non-pharmaceutical interventions. We use empirical and simulated networks to investigate the spread of disease in networks with community structure. We find that community structure has a major impact on disease dynamics, and we show that in networks with strong community structure, immunization interventions targeted at individuals bridging communities are more effective than those simply targeting highly connected individuals. Because the structure of relevant contact networks is generally not known, and vaccine supply is often limited, there is great need for efficient vaccination algorithms that do not require full knowledge of the network. We developed an algorithm that acts only on locally available network information and is able to quickly identify targets for successful immunization intervention. The algorithm generally outperforms existing algorithms when vaccine supply is limited, particularly in networks with strong community structure. Understanding the spread of infectious diseases and designing optimal control strategies is a major goal of public health. Social networks show marked patterns of community structure, and our results, based on empirical and simulated data, demonstrate that community structure strongly affects disease dynamics. These results have implications for the design of control strategies.
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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.