Related Experiment Video
Updated: May 18, 2026
07:40
Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
Published on: October 29, 2016
Localization and spreading of diseases in complex networks
A V Goltsev1, S N Dorogovtsev, J G Oliveira
1Department of Physics, I3N, University of Aveiro, Portugal.
Physical Review Letters
|September 26, 2012
Summary
Diseases can be localized to specific hubs in networks, challenging the idea that epidemics always spread widely. This study reveals how network structure influences disease containment.
Area of Science:
- Network Science
- Epidemiology
- Complex Systems
Background:
- The susceptible-infected-susceptible (SIS) model is a standard framework for studying epidemic dynamics.
- Traditionally, it's assumed diseases spread widely above the epidemic threshold.
- Limited research exists on disease localization within specific network structures.
Purpose of the Study:
- To investigate the phenomenon of disease localization in both unweighted and weighted networks.
- To challenge the conventional understanding of epidemic spread above the threshold.
- To identify the network features responsible for disease localization.
Main Methods:
- Utilized the susceptible-infected-susceptible (SIS) model.
- Analyzed both unweighted and weighted network models.
- Examined empirical data from real-world networks.
- Investigated the role of network hubs and edge weights.
Main Results:
- Demonstrated that diseases can be localized to a finite set of vertices.
- Identified hubs and high-weight edges as key centers for disease localization.
- Showed that localization occurs even above the epidemic threshold, contrary to prior assumptions.
- Validated findings using both theoretical models and real-world network data.
Conclusions:
- Network structure, particularly hubs and weighted edges, plays a critical role in disease localization.
- Disease localization offers a new perspective on epidemic containment strategies.
- Findings have implications for understanding and managing disease spread in complex systems.
Related Concept Videos
01:28Infectious Diseases and Their Occurrence
Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
01:18Steps in Outbreak Investigation
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
01:21Causality in Epidemiology
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
01:23Investigation of Disease Outbreaks
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
01:20Infection
When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
01:26Principles of Disease Surveillance
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...