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

You might also read

Related Articles

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

Sort by
Same author

Potential health impact of therapeutic HPV vaccines in China: a modeling study.

BMC medicine·2026
Same author

The impact of public health and social measures on social contact patterns and transmission of COVID-19 in Hong Kong.

BMC medicine·2026
Same author

Evaluating the socioeconomic value of adult respiratory immunization in Spain: a benefit-cost analysis.

Expert review of vaccines·2026
Same author

Cost-effectiveness and health impact of gender-neutral and single-dose HPV vaccination in Hong Kong: a modeling analysis.

The Lancet regional health. Western Pacific·2026
Same author

Measuring the growth of infectious disease modelling publications and their impact on policymaking: A large language model-assisted bibliometric review.

Epidemics·2026
Same author

Budget Impact of Strategies Involving RSVpreF and Nirsevimab to Protect Infants in Saudi Arabia Against Respiratory Syncytial Virus.

Infectious diseases and therapy·2026

Related Experiment Video

Updated: Apr 13, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

870

Systematic review of model-based cervical screening evaluations.

Diana Mendes1,2, Iren Bains3, Tazio Vanni4

  • 1Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, Bloomsbury, London, WC1E 7HT, UK. diana.mendes@lshtm.ac.uk.

BMC Cancer
|May 1, 2015
PubMed
Summary

Mathematical models help optimize cervical cancer screening policies by evaluating new technologies like human papillomavirus (HPV) DNA testing. Recent models increasingly incorporate country-specific data, but rarely account for HPV transmission dynamics post-vaccination.

More Related Videos

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
14:43

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish

Published on: July 18, 2020

8.7K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K

Related Experiment Videos

Last Updated: Apr 13, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

870
Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
14:43

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish

Published on: July 18, 2020

8.7K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K

Area of Science:

  • Epidemiology
  • Health Economics
  • Mathematical Modeling

Background:

  • Cervical screening policy optimization is complex due to evolving technologies and vaccine-induced epidemiological changes.
  • Mathematical models are crucial tools for assessing cervical cancer screening strategies.

Purpose of the Study:

  • To systematically review mathematical models used for evaluating cervical cancer screening strategies.
  • To identify key features and conclusions of these models relevant to public health decision-making.

Main Methods:

  • Systematic review of multiple databases (MEDLINE, Embase, Web of Science, EconLit, HED, Cochrane Library).
  • Identification and extraction of data on mathematical models of human papillomavirus (HPV) infection and cervical cancer progression.
  • Analysis of model features, effectiveness, and cost-effectiveness evaluations.

Main Results:

  • 153 articles were reviewed, with most studies (72/153) evaluating new screening technologies, particularly HPV DNA testing versus cytology (58 studies).
  • A majority of analyses (28/40) supported the implementation of HPV DNA primary screening.
  • Recent technologies like rapid HPV DNA testing and self-sampling were also supported, but emerging molecular markers were not yet studied. Most models (113/153) did not account for HPV transmission dynamics.
  • Model calibration to country-specific data is increasing but not yet standard.

Conclusions:

  • Mathematical models are valuable for projecting the population-level health and economic impact of cervical screening policies.
  • Post-vaccination analyses in models rarely incorporate transmission dynamics.
  • Increasing use of country-specific data calibration in recent cervical screening model evaluations.