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Related Experiment Video

Updated: May 18, 2026

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

Epidemics on interconnected networks.

Mark Dickison1, S Havlin, H E Stanley

  • 1Center for Polymer Studies, Physics Department, Boston University, Boston, Massachusetts 02215, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

Epidemics spread differently across interconnected networks. In strongly coupled systems, disease spreads universally, while weakly coupled systems allow localized outbreaks, impacting public health strategies.

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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

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Last Updated: May 18, 2026

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

Area of Science:

  • Epidemiology
  • Network Science
  • Mathematical Biology

Background:

  • Populations exist within interconnected social and geographic networks.
  • Disease transmission is influenced by local ties and inter-network interactions.

Purpose of the Study:

  • To analyze the susceptible-infected-recovered (SIR) process on interconnected network systems.
  • To identify distinct epidemic spread regimes based on network coupling strength.

Main Methods:

  • Modeling the SIR process on interconnected networks.
  • Deriving analytical expressions for epidemic thresholds.
  • Numerical verification of theoretical findings.

Main Results:

  • Two distinct epidemic regimes identified: strongly coupled and weakly coupled networks.
  • Strongly coupled systems exhibit simultaneous epidemics above a critical infection strength.
  • Weakly coupled systems show a 'mixed phase' allowing localized outbreaks below the critical threshold.

Conclusions:

  • Network coupling strength dictates epidemic behavior across interconnected systems.
  • The 'mixed phase' in weakly coupled networks has significant public health implications for targeted interventions.
  • Understanding these network dynamics is crucial for effective disease control in complex populations.