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

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

172
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
172
Causality in Epidemiology01:21

Causality in Epidemiology

711
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
711
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

499
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
499
Introduction to Epidemiology01:26

Introduction to Epidemiology

937
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
937
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

703
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
703
Infection01:20

Infection

8.6K
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.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
8.6K

You might also read

Related Articles

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

Sort by
Same author

The coherence analysis and Laplacian spectrum applications of cycle-based iterative networks.

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

Evolution modeling and control of networked dynamic games with event-triggering mechanism.

Chaos (Woodbury, N.Y.)·2025
Same author

Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content in <i>Ginkgo</i> from Bidirectional Reflectance Factor Spectra.

Plant phenomics (Washington, D.C.)·2024
Same author

Fixed-time synchronization for two-dimensional coupled reaction-diffusion complex networks: Boundary conditions analysis.

Chaos (Woodbury, N.Y.)·2024
Same author

How to regulate pattern formations for malware propagation in cyber-physical systems.

Chaos (Woodbury, N.Y.)·2024
Same author

Final epidemic size and critical times for susceptible-infectious-recovered models with a generalized contact rate.

Chaos (Woodbury, N.Y.)·2024

Related Experiment Video

Updated: Aug 30, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

645

Optimizing protection resource allocation for traffic-driven epidemic spreading.

Jie Chen1, Jinde Cao1, Ming Li2

  • 1School of Mathematics, Southeast University, Nanjing 210096, People's Republic of China.

Chaos (Woodbury, N.Y.)
|September 1, 2022
PubMed
Summary

Optimizing resource allocation is key to controlling epidemic spreading in networks. An optimized, heterogeneous approach significantly suppresses outbreaks, unlike uniform methods, especially under high traffic loads.

More Related Videos

Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy
08:51

Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy

Published on: April 3, 2018

9.2K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K

Related Experiment Videos

Last Updated: Aug 30, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

645
Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy
08:51

Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy

Published on: April 3, 2018

9.2K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K

Area of Science:

  • Network science
  • Epidemiology
  • Public health

Background:

  • Controlling disease and information spread in networks is crucial.
  • Resource allocation strategies significantly impact epidemic dynamics.

Purpose of the Study:

  • To develop and analyze an adjustable resource allocation mechanism for traffic-driven epidemic spreading.
  • To investigate the effects of resource over-allocation and optimize allocation schemes.

Main Methods:

  • Proposed a comprehensive adjustable resource allocation mechanism.
  • Analyzed its effects on traffic-driven epidemic spreading.
  • Conducted theoretical analysis to determine epidemic thresholds and optimal schemes.

Main Results:

  • Inappropriate resource allocation can induce epidemic spreading.
  • Optimized heterogeneous resource allocation significantly suppresses outbreaks.
  • Epidemic threshold is sensitive to traffic flow and allocation heterogeneity.

Conclusions:

  • Heterogeneous resource allocation is superior to uniform allocation for epidemic control.
  • Network structure and traffic flow critically influence optimal resource distribution.
  • Findings are validated on real-world network topologies.