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 Concept Videos

Excess Pressure Inside a Drop and a Bubble01:13

Excess Pressure Inside a Drop and a Bubble

3.5K
The shape of a small drop of liquid can be considered spherical, neglecting the effect of gravity. This drop can further be considered as two equal hemispherical drops put together due to surface tension. The forces acting on the spherical drop are due to the pressure of the liquid inside the drop, the pressure due to air outside the drop, and the force due to the surface tension acting on the two hemispherical drops.
3.5K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

1.4K
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
1.4K
Adaptability of Cytoskeletal Filaments01:12

Adaptability of Cytoskeletal Filaments

6.1K
The cytoskeleton is a complex dynamic structure performing varied functions based on cellular requirements. The adaptability of the individual filaments in the cytoskeleton determines their ability to perform various functions within the cell. It can undergo rapid reorganization during processes like cell division or remain stable for several hours as in the interphase. The adaptability of these filaments depends on stringent regulatory mechanisms. The microfilament and microtubules of the...
6.1K

You might also read

Related Articles

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

Sort by
Same author

Mathematical model of replication-mutation dynamics in coronaviruses.

Mathematical biosciences·2025
Same author

Sex, ducks, and rock "n" roll: Mathematical model of sexual response.

Chaos (Woodbury, N.Y.)·2023
Same author

Vaccination games and imitation dynamics with memory.

Chaos (Woodbury, N.Y.)·2023
Same author

Probabilistic predictions of SIS epidemics on networks based on population-level observations.

Mathematical biosciences·2022
Same author

Network analysis of England's single parent household COVID-19 control policy impact: a proof-of-concept study.

Epidemiology and infection·2022
Same author

Dynamics of coupled Kuramoto oscillators with distributed delays.

Chaos (Woodbury, N.Y.)·2021

Related Experiment Video

Updated: Feb 10, 2026

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

3.1K

Bursting endemic bubbles in an adaptive network.

N Sherborne1, K B Blyuss1, I Z Kiss1

  • 1Department of Mathematics, University of Sussex, Brighton BN1 9QH, England, United Kingdom.

Physical Review. E
|May 16, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a new adaptive network model for infectious disease spread. The model, incorporating time-delayed rewiring, reveals oscillations in a broad parameter range, unlike previous models.

More Related Videos

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System
08:19

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System

Published on: May 9, 2021

2.8K
How to Culture, Record and Stimulate Neuronal Networks on Micro-electrode Arrays MEAs
09:27

How to Culture, Record and Stimulate Neuronal Networks on Micro-electrode Arrays MEAs

Published on: May 30, 2010

55.9K

Related Experiment Videos

Last Updated: Feb 10, 2026

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

3.1K
Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System
08:19

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System

Published on: May 9, 2021

2.8K
How to Culture, Record and Stimulate Neuronal Networks on Micro-electrode Arrays MEAs
09:27

How to Culture, Record and Stimulate Neuronal Networks on Micro-electrode Arrays MEAs

Published on: May 30, 2010

55.9K

Area of Science:

  • Epidemiology
  • Network Science
  • Mathematical Modeling

Background:

  • Infectious disease dynamics are influenced by behavioral changes.
  • Existing adaptive network models show limited oscillatory behavior, contradicting real-world observations.

Purpose of the Study:

  • To propose a novel adaptive network model for infectious disease spread.
  • To investigate the impact of time-delayed rewiring on epidemic dynamics.
  • To identify conditions leading to sustained oscillations in disease spread.

Main Methods:

  • Developed a susceptible-infected-susceptible (SIS) epidemic model.
  • Incorporated adaptive network structure with time-delayed rewiring.
  • Analyzed model behavior across a wide parameter space.

Main Results:

  • Oscillatory solutions for disease spread are observed in a significantly wider parameter region.
  • The model demonstrates an 'endemic bubble'—a parameter space region where oscillations occur.
  • Transmission and rewiring rates critically influence the presence and extent of these oscillations.

Conclusions:

  • Time-delayed rewiring in adaptive networks can generate widespread oscillatory epidemic dynamics.
  • The proposed model offers a more realistic framework for understanding disease spread influenced by behavior.
  • The 'endemic bubble' concept provides new insights into disease persistence and control strategies.