An Analysis of Pediatric Vaccine Formulary Selection Problems

Vaccination against infectious disease is hailed as one of the great achievements in public health. However, the United States Recommended Childhood Immunization Schedule is becoming increasingly complex as it is expanded to cover additional diseases. Moreover, biotechnology advances have allowed va...

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Vydáno v:Operations research Ročník 56; číslo 6; s. 1348 - 1365
Hlavní autoři: Hall, Shane N, Jacobson, Sheldon H, Sewell, Edward C
Médium: Journal Article
Jazyk:angličtina
Vydáno: Linthicum INFORMS 01.11.2008
Institute for Operations Research and the Management Sciences
Témata:
Age
Algorithms
analysis of algorithms
Antigens
Binding sites
Childhood
Children
Children & youth
Computational complexity
Cost control
Diphtheria
Disease control
Dosage
dynamic
Dynamic programming
Economic costs
Families & family life
Health aspects
Health care
Hepatitis B
Heuristic
Heuristics
Immunization
Immunization schedules
Infectious diseases
Injections
integer algorithms
Measles
Methods
Operations research
pediatric immunization
Pediatrics
Poliomyelitis
programming
Public health
Schedules
Studies
Tetanus
Vaccination
Vaccination of children
Vaccines
Whooping cough
United States
United States > US
ISSN:0030-364X, 1526-5463
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Abstract Vaccination against infectious disease is hailed as one of the great achievements in public health. However, the United States Recommended Childhood Immunization Schedule is becoming increasingly complex as it is expanded to cover additional diseases. Moreover, biotechnology advances have allowed vaccine manufacturers to create combination vaccines that immunize against several diseases in a single injection. All these factors are creating a combinatorial explosion of alternatives and choices (each with a different cost) for public health policy makers, pediatricians, and parents/guardians (each with a different perspective). The General Vaccine Formulary Selection Problem (GVFSP) is introduced to model general childhood immunization schedules that can be used to illuminate these alternatives and choices by selecting a vaccine formulary that minimizes the cost of fully immunizing a child and the amount of extraimmunization. Both exact algorithms and heuristics for GVFSP are presented. A computational comparison of these algorithms and heuristics is presented for the 2006 Recommended Childhood Immunization Schedule, as well as several randomly generated childhood immunization schedules that are likely to be representative of future childhood immunization schedules. The results reported here provide both fundamental insights into the structure of the GVFSP models and algorithms and practical value for the public health community.
AbstractList Vaccination against infectious disease is hailed as one of the great achievements in public health. However, the United States Recommended Childhood Immunization Schedule is becoming increasingly complex as it is expanded to cover additional diseases. Moreover, biotechnology advances have allowed vaccine manufacturers to create combination vaccines that immunize against several diseases in a single injection. All these factors are creating a combinatorial explosion of alternatives and choices (each with a different cost) for public health policy makers, pediatricians, and parents/guardians (each with a different perspective). The General Vaccine Formulary Selection Problem (GVFSP) is introduced to model general childhood immunization schedules that can be used to illuminate these alternatives and choices by selecting a vaccine formulary that minimizes the cost of fully immunizing a child and the amount of extraimmunization. Both exact algorithms and heuristics for GVFSP are presented. A computational comparison of these algorithms and heuristics is presented for the 2006 Recommended Childhood Immunization Schedule, as well as several randomly generated childhood immunization schedules that are likely to be representative of future childhood immunization schedules. The results reported here provide both fundamental insights into the structure of the GVFSP models and algorithms and practical value for the public health community.
Vaccination against infectious disease is hailed as one of the great achievements in public health. However, the United States Recommended Childhood Immunization Schedule is becoming increasingly complex as it is expanded to cover additional diseases. Moreover, biotechnology advances have allowed vaccine manufacturers to create combination vaccines that immunize against several diseases in a single injection. All these factors are creating a combinatorial explosion of alternatives and choices (each with a different cost) for public health policy makers, pediatricians, and parents/guardians (each with a different perspective). The General Vaccine Formulary Selection Problem (GVFSP) is introduced to model general childhood immunization schedules that can be used to illuminate these alternatives and choices by selecting a vaccine formulary that minimizes the cost of fully immunizing a child and the amount of extraimmunization. Both exact algorithms and heuristics for GVFSP are presented. A computational comparison of these algorithms and heuristics is presented for the 2006 Recommended Childhood Immunization Schedule, as well as several randomly generated childhood immunization schedules that are likely to be representative of future childhood immunization schedules. The results reported here provide both fundamental insights into the structure of the GVFSP models and algorithms and practical value for the public health community. [PUBLICATION ABSTRACT]
Audience Trade
Author Hall, Shane N
Jacobson, Sheldon H
Sewell, Edward C
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  doi: 10.1016/0196-6774(81)90020-1
– volume-title: Computers and Intractability: A Guide to the Theory of NP-Completeness
  year: 1979
  ident: B20
– ident: B1
  doi: 10.1287/opre.29.3.501
– ident: B21
  doi: 10.1016/S0377-2217(96)00050-1
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Snippet Vaccination against infectious disease is hailed as one of the great achievements in public health. However, the United States Recommended Childhood...
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StartPage 1348
SubjectTerms Age
Algorithms
analysis of algorithms
Antigens
Binding sites
Childhood
Children
Children & youth
Computational complexity
Cost control
Diphtheria
Disease control
Dosage
dynamic
Dynamic programming
Economic costs
Families & family life
Health aspects
Health care
Hepatitis B
Heuristic
Heuristics
Immunization
Immunization schedules
Infectious diseases
Injections
integer algorithms
Measles
Methods
Operations research
pediatric immunization
Pediatrics
Poliomyelitis
programming
Public health
Schedules
Studies
Tetanus
Vaccination
Vaccination of children
Vaccines
Whooping cough
Title An Analysis of Pediatric Vaccine Formulary Selection Problems
URI http://or.journal.informs.org/cgi/content/abstract/56/6/1348
https://www.jstor.org/stable/25580893
https://www.proquest.com/docview/219197699
Volume 56
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