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

Vaccinations01:51

Vaccinations

45.6K
Overview
45.6K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

245
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:
245
Causality in Epidemiology01:21

Causality in Epidemiology

1.0K
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...
1.0K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

98
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
98
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

591
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:
591
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

165
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
165

You might also read

Related Articles

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

Sort by
Same author

Emergent dynamics in heterogeneous pulsatile swarmalators.

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

Stability of the 1D swarmalator model in the continuum limit.

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

Global synchronization theorem for coupled swarmalators.

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

ern: An <math> </math> package to estimate the effective reproduction number using clinical and wastewater surveillance data.

PloS one·2024
Same author

A global synchronization theorem for oscillators on a random graph.

Chaos (Woodbury, N.Y.)·2022
Same author

Designing temporal networks that synchronize under resource constraints.

Nature communications·2021

Related Experiment Video

Updated: Oct 5, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K

Modeling the Interplay Between Seasonal Flu Outcomes and Individual Vaccination Decisions.

Irena Papst1, Kevin P O'Keeffe2, Steven H Strogatz3

  • 1Center for Applied Mathematics, Cornell University, Ithaca, NY, USA. ip98@cornell.edu.

Bulletin of Mathematical Biology
|January 31, 2022
PubMed
Summary
This summary is machine-generated.

Understanding flu vaccine decisions is key for public health. This study models individual choices using social psychology, revealing how populations can achieve herd immunity with unique biennial oscillations.

Keywords:
Decision-makingSIR modelSeasonal influenzaSocial psychologyVaccination

More Related Videos

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
08:52

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Published on: July 26, 2019

8.3K
Intranasal Administration of Recombinant Influenza Vaccines in Chimeric Mouse Models to Study Mucosal Immunity
10:39

Intranasal Administration of Recombinant Influenza Vaccines in Chimeric Mouse Models to Study Mucosal Immunity

Published on: June 25, 2015

12.8K

Related Experiment Videos

Last Updated: Oct 5, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K
Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
08:52

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Published on: July 26, 2019

8.3K
Intranasal Administration of Recombinant Influenza Vaccines in Chimeric Mouse Models to Study Mucosal Immunity
10:39

Intranasal Administration of Recombinant Influenza Vaccines in Chimeric Mouse Models to Study Mucosal Immunity

Published on: June 25, 2015

12.8K

Area of Science:

  • Epidemiology
  • Behavioral Economics
  • Mathematical Modeling

Background:

  • Seasonal influenza (flu) poses a continuous public health threat, necessitating annual vaccination efforts.
  • Individual flu vaccine uptake is often voluntary, with many people opting out, challenging herd immunity goals.
  • Previous models assumed rational decision-making with perfect information, which doesn't align with empirical evidence.

Purpose of the Study:

  • To develop a more realistic model of annual flu vaccine decision-making by incorporating social psychology principles.
  • To investigate population-level dynamics of disease spread and vaccination.
  • To determine conditions under which herd immunity can be achieved and explore emergent population behaviors.

Main Methods:

  • Developed a coupled mathematical model integrating disease transmission and vaccination dynamics.
  • Incorporated experimental findings from social psychology to represent individual decision-making processes.
  • Simulated population-level responses to disease spread and vaccination choices.

Main Results:

  • The model successfully replicates established epidemiological outcomes.
  • Identified novel population-level behaviors, including biennial oscillations around the herd immunity threshold.
  • Demonstrated the impact of psychologically informed decision-making on vaccination dynamics.

Conclusions:

  • Models incorporating social psychology offer a more accurate representation of flu vaccine decision-making.
  • Population-level herd immunity can be achieved, but the dynamics are more complex than previously modeled.
  • Biennial oscillations suggest a cyclical pattern in population immunity and susceptibility.