Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Small world effect in an epidemiological model.

M Kuperman1, G Abramson

  • 1Centro Atómico Bariloche and Instituto Balseiro, 8400 S. C. de Bariloche, Argentina. kuperman@cab.cnea.gov.ar

Physical Review Letters
|April 6, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Temporal trends in diarrhea-related hospitalizations and deaths in children under age 5 before and after the introduction of the rotavirus vaccine in four Latin American countries.

Vaccine·2013
Same author

Posada fracture.

Prensa medica argentina·2010
Same author

Theory of home range estimation from displacement measurements of animal populations.

Journal of theoretical biology·2005
Same author

Diffusion and home range parameters from rodent population measurements in Panama.

Bulletin of mathematical biology·2005
Same author

Traveling waves of infection in the hantavirus epidemics.

Bulletin of mathematical biology·2003
Same author

Simulations in the mathematical modeling of the spread of the Hantavirus.

Physical review. E, Statistical, nonlinear, and soft matter physics·2002

This study models infection spread in populations using small world networks. A transition to self-sustained oscillations in infection levels occurs with increased network disorder.

Area of Science:

  • Epidemiology
  • Network Science
  • Mathematical Modeling

Background:

  • Understanding infection dynamics is crucial for public health.
  • Population structure significantly influences disease transmission.
  • Small world networks offer a realistic model for social interactions.

Purpose of the Study:

  • To analyze an infection spread model across various population structures.
  • To investigate the impact of network disorder on infection dynamics.

Main Methods:

  • Developed a mathematical model for infection spread.
  • Simulated disease transmission on small world networks with varying degrees of disorder.
  • Analyzed network structures from ordered lattices to random graphs.

Related Experiment Videos

Main Results:

  • In ordered network systems, a low-level, fluctuating endemic state of infection was observed.
  • A critical threshold of network disorder was identified.
  • Beyond this threshold, the model exhibited a transition to self-sustained oscillations in the infected subpopulation size.

Conclusions:

  • Network structure critically impacts infection spread patterns.
  • Increased network disorder can drive transitions from endemic states to dynamic, oscillating outbreaks.
  • The findings highlight the importance of network topology in epidemiological modeling.