Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Mathematical models and vaccination strategies.

Guillaume Béraud¹

¹Médecine Interne et Maladies Infectieuses, CHU de Poitiers, Poitiers, France; EA2694, Université Droit et Santé Lille 2, Lille, France; Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Hasselt, Belgium.

|October 17, 2017

Summary

Mathematical models are essential for understanding infection transmission and optimizing vaccination strategies. Precise data is crucial for accurate modeling and assessing vaccination impacts on diverse populations.

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Choice of antimicrobial therapy for infective endocarditis caused by viridans streptococci: an international practice survey.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2026

Same author

Systematic three-site vs. classical single-site screening for Chlamydia trachomatis and Neisseria gonorrhoeae infections in non-sex worker women: the multicentric Sexually Infections Still Transmitted by Remote Sites (SIST'RS) study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2026

Same author

Cost-Effectiveness Analysis of Expanding Influenza Vaccination to Adults Aged 50 and Over in France.

Infectious diseases and therapy·2025

Same author

Evolution of social contacts patterns in France over the SARS-CoV-2 pandemic: results from the SocialCov survey.

BMC infectious diseases·2025

Same author

What Place Is There for Long-Acting Antibiotics in the Management of Gram-Positive Infections? A Qualitative Cross-Sectional Study.

Antibiotics (Basel, Switzerland)·2024

Same author

Endocarditis Team as a Paradigm for Multidisciplinary Heart Team.

JACC. Advances·2024

Area of Science:

Epidemiology
Mathematical Biology
Public Health

Background:

Infection transmission is complex and challenging to assess directly.
Mathematical models offer valuable insights into disease dynamics and intervention impacts.
Vaccination campaigns require strategic planning regarding population fractions and age groups.

Purpose of the Study:

To highlight the utility of mathematical models in understanding infection transmission.
To guide optimal vaccination campaign strategies, considering population fractions and age groups.
To explore potential counter-intuitive effects of vaccination on sub-groups.

Main Methods:

Utilizing mathematical modeling to simulate infection transmission dynamics.
Incorporating population heterogeneity and behavior into complex models.

Keywords:

Mathematical models Vaccination

Related Experiment Videos

Analyzing vaccination strategies and their impact on different demographic segments.

Main Results:

Models can guide decisions on vaccination coverage and target age groups.
Vaccination benefits may mask negative effects on specific sub-populations.
Complex modeling is necessary due to increased vaccination rates and population diversity.

Conclusions:

Mathematical models are crucial tools for public health interventions like vaccination.
Accurate and comprehensive data are paramount for the future development and reliability of these models.
Future modeling efforts must address individual and population heterogeneity for precise assessments.