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

Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.5K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.5K
Contact-dependent Signaling01:19

Contact-dependent Signaling

44.7K
Contact-dependent signaling, as the name suggests, requires that communicating cells be in direct contact with each other. This is achieved either through receptor-ligand interactions or by specialized cytoplasmic channels that allow the flow of small molecules between cells. In animal cells, channels called gap junctions facilitate contact-dependent signaling in certain tissues, whereas, plasmodesmata perform a similar function in plants.
Gap Junctions
In animal cells, gap junctions are formed...
44.7K
Ogive Graph01:07

Ogive Graph

5.7K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.7K
Horizontal Gene Transfer01:27

Horizontal Gene Transfer

45
Horizontal gene transfer (HGT) is a process where genetic material moves between organisms within the same generation, unlike vertical gene transfer, which occurs from parent to offspring. HGT plays a crucial role in microbial evolution, adaptation, and survival, particularly in shared environments like the human gut.Mobile genetic elements such as plasmids, prophages, integrons, insertion sequences, and transposons facilitate this process. HGT occurs through three primary mechanisms:...
45
IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

12.2K
Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
12.2K
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

771
The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
771

You might also read

Related Articles

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

Sort by
Same author

Mediating Role of Dyadic Coping Between Social Support and Oral Frailty Cross-Sectional Study of Elderly Ovarian Cancer Patients in China.

International journal of women's health·2026
Same author

Cumulative metabolic score for insulin resistance and heart failure risk: A prospective study.

Nutrition, metabolism, and cardiovascular diseases : NMCD·2026
Same author

Increased Glycogenin-Exposed Residual Glycogen in Lysosomes Is the Early Pathological Finding in Asymptomatic Pompe Disease.

Muscle & nerve·2026
Same author

Microneedle-Based Codelivery of <i>Platycladus orientalis</i>-Derived Extracellular Vesicles and Minoxidil Nanoparticles for Androgenetic Alopecia Treatment.

ACS applied materials & interfaces·2026
Same author

Microwave pulsed vacuum drying (MPVD) revolutionizes wolfberry processing: synergistic effects on drying efficiency, microstructure, nutrient preservation and metabolomics.

Food chemistry·2026
Same author

Integrated multi-omics analysis uncovers key metabolic and transcriptional regulatory networks in <i>Blumea balsamifera</i> responding to salt stress.

Frontiers in plant science·2026
Same journal

Topological dependence of viral mutation spread in complex host-interaction networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Multifractal signatures of Hamiltonian chaos in Hyperion's rotational dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Jul 26, 2025

Viral Tracing of Genetically Defined Neural Circuitry
13:06

Viral Tracing of Genetically Defined Neural Circuitry

Published on: October 17, 2012

18.6K

Digital contact tracing on hypergraphs.

Yanyi Nie1,2, Ming Zhong3, Runchao Li3

  • 1School of Public Health, Chongqing Medical University, Chongqing 400016, China.

Chaos (Woodbury, N.Y.)
|June 22, 2023
PubMed
Summary
This summary is machine-generated.

Digital contact tracing (DCT) effectively suppresses epidemic spread by utilizing hypergraphs to model gatherings. This method reduces outbreak size and increases the epidemic threshold, particularly on real-world networks with limited initial spread.

More Related Videos

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.9K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K

Related Experiment Videos

Last Updated: Jul 26, 2025

Viral Tracing of Genetically Defined Neural Circuitry
13:06

Viral Tracing of Genetically Defined Neural Circuitry

Published on: October 17, 2012

18.6K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.9K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K

Area of Science:

  • Network Science
  • Epidemiology
  • Computational Social Science

Background:

  • Higher-order interactions in network topology significantly impact the effectiveness of digital contact tracing (DCT).
  • Understanding epidemic spread in complex networks requires models that capture group interactions beyond pairwise connections.

Purpose of the Study:

  • To propose a mathematical model using hypergraphs to represent gathering events for analyzing digital contact tracing effectiveness.
  • To investigate the impact of DCT on epidemic outbreak size and threshold using generalized percolation theory.

Main Methods:

  • Developed a novel hypergraph-based mathematical model to represent gathering events and DCT implementation.
  • Employed generalized percolation theory to analyze epidemic dynamics within the proposed model.
  • Simulated DCT by modeling individuals carrying a tracing application within hyperedges.

Main Results:

  • Digital contact tracing effectively suppresses epidemic spreading by reducing outbreak size and increasing the epidemic threshold.
  • DCT's efficacy is demonstrated by its ability to limit epidemic spread to hyperedges with smaller cardinalities.
  • The inhibitory effect of DCT is most evident on real-world networks when the initial epidemic spread is limited.

Conclusions:

  • Hypergraph models provide a robust framework for evaluating digital contact tracing strategies in complex social networks.
  • Digital contact tracing is a valuable tool for mitigating epidemics, especially in scenarios characterized by higher-order interactions.
  • The study highlights the importance of considering network topology and interaction structures for effective public health interventions.