Using Monte Carlo simulation to assess the value of combination vaccines for pediatric immunization

Research by vaccine manufacturers in the USA has resulted in the development of new vaccines that protect against a number of diseases. This has created a dilemma for how to introduce such new vaccines into an already crowded US Recommended Childhood Immunization Schedule and prompted the developmen...

Full description

Saved in:
Bibliographic Details
Published inProceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304) Vol. 2; pp. 1421 - 1428 vol.2
Main Authors Jacobson, S.H., Sewell, E.C., Weniger, B.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Contracts
Costs
Immune system
Jacobian matrices
Job shop scheduling
Liver diseases
Manufacturing
Pediatrics
Protection
Vaccines
Online AccessGet full text

Cover

More Information
Summary:Research by vaccine manufacturers in the USA has resulted in the development of new vaccines that protect against a number of diseases. This has created a dilemma for how to introduce such new vaccines into an already crowded US Recommended Childhood Immunization Schedule and prompted the development of vaccine products that combine several individual vaccines into a single injection. Such combination vaccines permit new vaccines to be inserted into the immunization schedule without exposing children to an unacceptable number of injections during a single clinic visit. The paper describes a Monte Carlo simulation with an integer programming model to assess and quantify the distributions around inclusion prices which reflect the economic premium of these new combinations. Each new vaccine competed against existing. vaccines for six childhood diseases (hepatitis B, diphtheria, tetanus, pertussis, Haemophilus influenzae type b, and polio) at their March 2000 Federal contract discount prices.
ISBN:0780373073
9780780373075
DOI:10.1109/WSC.2001.977465