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Related Concept Videos

Infection01:20

Infection

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.
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Stages of infection describe what happens to a susceptible host once a pathogen invades the human body. The stages of infection are incubation, prodromal, illness, stage of decline, and convalescence. The incubation stage is the period from exposure to a pathogen until symptoms start. The infected person is unaware of impending illness as the pathogens grow and multiply within the body. The duration may vary depending on the type of infection. The incubation period of measles averages ten to...
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Infectious Diseases and Their Occurrence

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Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants
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Multi-stage complex contagions.

Sergey Melnik1, Jonathan A Ward, James P Gleeson

  • 1Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, Oxford OX1 3LB, United Kingdom.

Chaos (Woodbury, N.Y.)
|April 6, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a multi-stage complex contagion model for social networks. It reveals that even low-stage influencers can drive cascades and collective action, unlike single-stage models.

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Area of Science:

  • Social Network Analysis
  • Sociophysics
  • Computational Social Science

Background:

  • Complex contagion models explain idea spread via multiple activated neighbors.
  • Understanding social influence and behavior cascades is crucial for network dynamics.

Purpose of the Study:

  • Introduce a novel multi-stage complex contagion model for networks.
  • Investigate how differing agent influence stages affect contagion dynamics.
  • Explore novel behaviors arising from multi-stage contagion.

Main Methods:

  • Developed a multi-stage complex contagion model.
  • Simulated contagion spread on networks with agents at different influence stages.
  • Analyzed the interplay between multiple simultaneous cascades.

Main Results:

  • The multi-stage model exhibits novel dynamical behaviors absent in single-stage models.
  • Interplay between multiple cascades was observed.
  • Both high-stage and low-stage influencers were found to drive cascades.

Conclusions:

  • Multi-stage contagion models offer richer insights into social influence.
  • Collective action can be initiated by influencers across various stages.
  • The model provides a framework for studying complex social dynamics.