Mathematical models of vaccination
Open Access
- 1 July 2002
- journal article
- review article
- Published by Oxford University Press (OUP) in British Medical Bulletin
- Vol. 62 (1) , 187-199
- https://doi.org/10.1093/bmb/62.1.187
Abstract
Mathematical models of epidemics have a long history of contributing to the understanding of the impact of vaccination programmes. Simple, one-line models can predict target vaccination coverage that will eradicate an infectious agent, whilst other questions require complex simulations of stochastic processes in space and time. This review introduces some simple ordinary differential equation models of mass vaccination that can be used to address important questions about the predicted impact of vaccination programmes. We show how to calculate the threshold vaccination coverage rate that will eradicate an infection, explore the impact of vaccine-induced immunity that wanes through time, and study the competitive interactions between vaccine susceptible and vaccine resistant strains of infectious agent.Keywords
This publication has 8 references indexed in Scilit:
- Imperfect vaccines and the evolution of pathogen virulenceNature, 2001
- The Mathematics of Infectious DiseasesSIAM Review, 2000
- Vaccination and the population structure of antigenically diverse pathogens that exchange genetic materialProceedings Of The Royal Society B-Biological Sciences, 1997
- Vaccination, evolution and changes in the efficacy of vaccines: a theoretical frameworkProceedings Of The Royal Society B-Biological Sciences, 1995
- After the honeymoon in measles controlThe Lancet, 1995
- Imperfect vaccines and herd immunity to HIVProceedings Of The Royal Society B-Biological Sciences, 1993
- Modelling forces of infection for measles, mumps and rubellaStatistics in Medicine, 1990
- Measles in developing countries. Part II. The predicted impact of mass vaccinationEpidemiology and Infection, 1988