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

394
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:
394
Outliers and Influential Points01:08

Outliers and Influential Points

5.5K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
5.5K
Causality in Epidemiology01:21

Causality in Epidemiology

1.3K
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...
1.3K
Optimal Foraging00:48

Optimal Foraging

13.0K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.0K
Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

14.0K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
14.0K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

249
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
249

You might also read

Related Articles

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

Sort by
Same author

Magnesium isoglycyrrhizinate ameliorates ceritinib-induced hepatotoxicity by restoring mitochondrial homeostasis.

Archives of biochemistry and biophysics·2026
Same author

Efficacy and safety of sodium phosphate powder for bowel cleansing in patients aged 50-70 years: a randomised, multicentre, single-blind trial.

BMC gastroenterology·2026
Same author

Efficacy and Cost-Effectiveness Analyses of Entecavir versus Tenofovir Amibufenamide in Patients with Chronic Hepatitis B.

Drug design, development and therapy·2026
Same author

Magnesium Isoglycyrrhizinate Alleviates Alectinib-Induced Hepatotoxicity by Inhibiting Mitochondrial Damage-Mediated Pyroptosis.

Drug design, development and therapy·2025
Same author

Exploring the effects of food by-product HMF on pepsin structure, function, and physiological activity from a binding perspective.

Food research international (Ottawa, Ont.)·2025
Same author

Characterization, antibacterial property, biocompatibility, and optimization of novel composite nanofibers incorporating curcumin-loaded flexible nano-liposomes.

Biophysical chemistry·2025

Related Experiment Video

Updated: Dec 5, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K

Outbreak minimization v.s. influence maximization: an optimization framework.

Chun-Hung Cheng1, Yong-Hong Kuo2, Ziye Zhou3

  • 1Logistics and Supply Chain MultiTech R&D Centre Limited, Unit 202, Level 2, Block B, Cyberport 4, 100 Cyberport Road, Hong Kong, Hong Kong, China.

BMC Medical Informatics and Decision Making
|October 17, 2020
PubMed
Summary
This summary is machine-generated.

Targeted immunization, crucial for epidemic control like COVID-19, is equivalent to influence maximization. This study develops an optimization method for identifying key individuals to minimize disease spread effectively.

Keywords:
Benders’ decompositionCOVID-19Infectious diseases outbreakInfluence maximizationOptimizationSARS

More Related Videos

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.5K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

5.5K

Related Experiment Videos

Last Updated: Dec 5, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.5K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

5.5K

Area of Science:

  • Epidemiology
  • Network Science
  • Computational Biology

Background:

  • Targeted immunization identifies
  • super spreaders
  • to contain epidemic outbreaks (e.g., COVID-19) by minimizing disease spread over human contact networks.

Purpose of the Study:

  • Establish the equivalence between targeted immunization and the influence maximization problem.
  • Develop an effective methodology for targeted immunization using influence maximization principles.

Main Methods:

  • Formulated the targeted immunization problem and demonstrated its equivalence to influence maximization under the Linear Threshold diffusion model.
  • Developed a Benders' decomposition algorithm to solve the resulting optimization problem.

Main Results:

  • Evaluated the optimization approach's performance and scalability on real-world large-scale networks.
  • Demonstrated that the proposed approach yields more effective solutions compared to existing methods.

Conclusions:

  • Confirmed the equivalence between outbreak minimization and influence maximization.
  • Highlighted the importance of identifying optimal immunization groups for infectious disease containment.
  • Proposed a methodology to aid policymakers in determining optimal immunization coverage levels.