This paper sketches how mathematical models that are soundly based on epidemiological data can help us understand the effects upon population-level or « heard » immunity of specific immunisation policies.
Some of the questions that can be illuminated within such an analytic framework are: What proportion of the population should be immunised to achieve eradication (locally or globally)?
How is this affected by birth rates and other demographic factors?
What is the best age to immunise?
How does mass immunisation affect the age distribution of susceptible individuals, particularly in those age-classes most at risk from serious diseases?
How significant are genetic, social, or spatial heterogeneities in susceptibility or exposure to infection?
And how does this affect herd immunity?
Mots-clés Pascal : Vaccination, Politique sanitaire, Immunisation, Population, Modèle mathématique, Infection, Homme
Mots-clés Pascal anglais : Vaccination, Health policy, Immunization, Population, Mathematical model, Infection, Human
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 91-0217228
Code Inist : 002A05F04. Création : 199406.