Mathematical models of vaccination.

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.

[1]  A. Hinman,et al.  From the Center for Disease Control. Current status of rubella in the United States, 1969-1979. , 1980, The Journal of infectious diseases.

[2]  Herbert W. Hethcote,et al.  The Mathematics of Infectious Diseases , 2000, SIAM Rev..

[3]  N. Ferguson,et al.  Vaccination and the population structure of antigenically diverse pathogens that exchange genetic material , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[4]  J. Botella de Maglia,et al.  [Prevention of malaria]. , 1999, Revista clinica espanola.

[5]  C. Farrington Modelling forces of infection for measles, mumps and rubella. , 1990, Statistics in medicine.

[6]  R. May,et al.  Infectious Diseases of Humans: Dynamics and Control , 1991, Annals of Internal Medicine.

[7]  G. Macdonald,et al.  The analysis of equilibrium in malaria. , 1952, Tropical diseases bulletin.

[8]  J. Millar,et al.  Smallpox eradication in West and Central Africa. , 1975, Bulletin of the World Health Organization.

[9]  A. McLean After the honeymoon in measles control , 1995, The Lancet.

[10]  Sally M. Blower,et al.  Imperfect vaccines and herd immunity to HIV , 1993, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[11]  M. Grand,et al.  Current status of rubella in the United States. , 1972, The Journal of infectious diseases.

[12]  R. Anderson,et al.  Measles in developing countries. Part II. The predicted impact of mass vaccination , 1988, Epidemiology and Infection.

[13]  Paul W. Ewald Imperfect Vaccines and the Evolution of Pathogen Virulence , 2004 .

[14]  A. McLean Vaccination, evolution and changes in the efficacy of vaccines: a theoretical framework , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.